Optimizing Helping Babies Breathe implementation in a resource limited setting to improve perinatal outcome

Authors

Mduma Estomih Raphael

Keywords:

perinatal mortality, Helping Babies Breathe, HBB, frequent brief onsite simulation, FBOS

Synopsis

Globally, deaths around the time of birth are unacceptably high of which there are about 2.7 million neonatal deaths and 2.6 million stillborn annually. Perinatal mortality accounts for deaths after 28 weeks of gestation to seven days after birth. Perinatal mortality is a public health concern with a huge impact on the health, social and economic well being affecting both family and society. The burden of perinatal mortality is obvious in the low and middle-income countries, and more on the countries south of sub-Sahara Africa. East Africa being among the sub-Sahara countries is also experiencing a high rate of perinatal mortally, with Tanzania taking the lead. Almost half of stillborns are alive at the start of labor offering an opportunity for prevention. Likewise, 44% of the neonatal deaths occur on the first day of life and are predominantly the result of intrapartum events. Events during labor, including birth asphyxia (interruption of placental blood flow) account for one-quarter of the global newborn deaths. These deaths can be substantially reduced by improving quality of care around the time of labor and childbirth. The Helping Babies Breathe (HBB) curriculum, involves training to improve knowledge and skills of midwives and other birth attendants, to provide improved basic care to new-borns including timely breathing support and as a consequence to improve newborn survival as needed. It became apparent the course did not alter outcome following one day training i.e. improve survival. This pointed to the need for more frequent training. Thus the concept of frequent brief onsite simulation (FBOS) HBB training was introduced at Haydom Lutheran Hospital as part of continuous quality improvement (CQI), in an effort to reduce perinatal mortality. This became the central thrust of this thesis as described below.

Aim: The aim of this thesis is to evaluate the process and impact for optimizing implementation of HBB project to improve early perinatal outcome at Haydom Lutheran Hospital, a rural referral hospital in north-central in Tanzania.

Method: We conducted three studies between February 2011 and January 2017 to evaluate the process and impact of HBB project to improve early perinatal outcome. The study site was labor ward and operating theatre at Haydom Lutheran hospital. The study intervention involved implementation of FBOS training using a low fidelity manikin with the ability to provide bag/mask ventilation and feel a pulse on different simulation scenarios and also having repeated feedback.

Study I was a one-year project from February 2011 through January 2012 that involved FBOS. This was a before-after prospective education intervention study in a cohort of midwives (birth attendants), pregnant women attending to give birth and their newborns. The labor management process and outcomes of birth in the first 24hrs were evaluated. The outcome of pregnancy (n=4814) was compared to a baseline period (n=4894), which was also a one-year period between February 2010 through January 2011. Secondary outcomes included care provider change in behavior i.e. frequency in resuscitation practice, labor management which involved, fetal heart rate monitoring, mode of delivery and resuscitation practice.

Study II was a five years follow-up from February 2011 through January 2016. Perinatal outcome during the study period was compared to the baseline period as in study I (Feb. 2010 through Jan 2011). The study involved continuous observation to trace and document perinatal outcomes over time and evaluate the implementation process. The cohort involved 22,176 newborns and compared the outcome to the baseline (n=4894). Factors included in the analysis involved those with potential co-relationship with perinatal outcomes as interventions, administrative events and facility process.

Study III was also a continuous observation to trace and document perinatal outcomes as in study II. The cohort involved a total of 31122 newborns of which intervention period was for six years from Feb 2011 through Jan 2017 with 26220 newborns and one year of baseline period (Feb 2010 through Jan 2011). Logistic regression modeling was used to construct risk-adjusted variable-life adjusted display (VLAD) and cumulative sum (CUSUM) plots to monitor changes in perinatal survival (primary outcome). Plots of unadjusted changes in perinatal risks were compared to risks adjusted plots.

Results: In Study I, There was a significant reduction in early neonatal mortality rate (eNMR) from 11.1/1000 during baseline to 7.2/1000 (p0.040) after implementation of FBOS HBB training. During the period, the proportion of resuscitation through stimulation increased from 14.5% to 16.3% (p 0.016), and suction increased from 13.0% to 15.8% (p ≤ 0.0005) while the proportion receiving bag-mask ventilation (BMV) decreased from 7.3% to 5.9% (p ≤ 0.005) in Cohort 1 versus Cohort 2, respectively.

In study II, the CUSUM plot in most of the period was lower than the baseline level of 2.7% with slight variation on ePMR months indicating reduction after implementation of FBOS HBB training. In the VLAD plot there was a continuous upward trend on cumulative monthly number of lives saved compared to baseline, with few fluctuations indicating that the outcome (perinatal survival) was better than in the baseline. The trend indicated continuous improvement in perinatal outcome during the five years follow-up period. The trend of outcomes had some variations in some point, which could be linked with different interventions and events of which improvement in survival linked refresher HBB training and reduced survival linked trained midwifes leaving the hospital and new recruited who have not attended FBOS HBB training. The VLAD plot showed an overall positive trend, reflecting more than 120 extra lives saved over the 5-year period.

In study III, Persistent and steady increase in perinatal survival was observed following implementation of FBOS HBB training. Six years follow-up revealed 150 extra lives saved according to VLAD plot. After adjusting for the risk factors VLAD plot indicated that an estimated 250 extra lives were saved which indicate that survival was maintained even when the cohort included high risks cases indicating a further improvement in survival compared to when the risks were not considered.

Conclusion: This PhD project show that optimizing the implementation of FBOS simulation training is associated with improvement on clinical practice and neonatal survival. This is the first published report that documented the important association of FBOS and reduce neonatal mortality. During the CQI, continuous evaluation in the SPC revealed that the improvement in perinatal outcome matched with the activities related to FBOS training. Additionally, the reduction on perinatal mortality was even more evident when adjusting for risks in the cohort. To conclude, optimizing implementation of HBB training has the potential to improve perinatal outcome.

Author Biography

Mduma Estomih Raphael

PhD
University of Stavanger
Faculty of Health Sciences
estomduma@gmail.com

References

1. Ma LH, Alexander M, You D, Alkema L, Group UNI, Estimation M. Articles National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030 : a systematic analysis. Lancet Glob Heal. 2019; 7(6):e710-20
https://doi.org/10.1016/S2214-109X(19)30163-9

2. World health statistics 2017: monitoring health for the SDGs, Sustainable Development Goals. Geneva: World Health Organization. 2017; Licence: CC BY-NC-SA 3.0 IGO. [Accessed October 22, 2020]

3. Lee ACC, Cousens S, Wall SN, Niermeyer S, Darmstadt GL, Carlo WA, et al. Neonatal resuscitation and immediate newborn assessment and stimulation for the prevention of neonatal deaths: a systematic review, meta-analysis and Delphi estimation of mortality effect. BMC public health. 2011 (3);S3- S12
https://doi.org/10.1186/1471-2458-11-S3-S12

4. Getiye Y, Fantahun M. Factors associated with perinatal mortality among public health deliveries in Addis Ababa, Ethiopia, an unmatched case control study. BMC Pregnancy Childbirth. 2017;1420-7
https://doi.org/10.1186/s12884-017-1420-7

5. Saleem S, Tikmani SS, McClure EM, Moore JL, Azam SI, Dhaded SM, et al. Trends and determinants of stillbirth in developing countries: results from the Global Network's Population-Based Birth Registry. Reproductive health. 2018; (1) 0526-3
https://doi.org/10.1186/s12978-018-0526-3

6. Reinebrant HE, Leisher SH, Coory M, Henry S, Wojcieszek AM, Gardener G, et al. Making stillbirths visible: a systematic review of globally reported causes of stillbirth. BJOG: an international journal of obstetrics and gynaecology. 2018; (2) 212-224.
https://doi.org/10.1111/1471-0528.14971

7. WHO definition for perinatal mortality/period. Accessed at; https://www.who.int/maternal_child_adolescent/topics/maternal/maternal_perinatal/en/. [Accessed October 22, 2020]

8. Hug L, Sharrow D, You D; UN Inter-agency Group for Child Mortality Estimation. Levels & trends in child mortality.: estimates developed by UN Inter-agency Group for Child Mortality Estimation. Report 2019; [Accessed October 18, 2020]

9. Wang H, Liddell CA, Coates MM, Mooney MD, Levitz CE, Schumacher AE et al. Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384 (9947):957-979
https://doi.org/10.1016/S0140-6736(14)60497-9

10. Lawn JE, Lee ACC, Kinney M, Sibley L, Carlo WA, Paul VK et al. Two million intrapartum-related stillbirths and neonatal deaths: where, why, and what can be done? Int J Gynaecol Obstet. 2009;107 (1):S5-S18, S19
https://doi.org/10.1016/j.ijgo.2009.07.016

11. Kruger C, Niemi M, Espeland H, Naman N, Malleyeck I. The effects of standardised protocols of obstetric and neonatal care on perinatal and early neonatal mortality at a rural hospital in Tanzania. Int Health. 2012;4(1):55-62
https://doi.org/10.1016/j.inhe.2011.10.002

12. Alliance for Maternal and Newborn Health Improvement (AMANHI) mortality study group. Population-based rates, timing, and causes of maternal deaths, stillbirths, and neonatal deaths in south Asia and sub-Saharan Africa: a multi-country prospective cohort study. The Lancet. Global health. 2018; 6(12), e1297-e1308.

13. Chopra M, Wardlaw T, Cavagnero SE, Boerma T, Daelmans B, Gupta N, et al. Countdown to 2015 decade report (2000-10): taking stock of maternal, newborn, and child survival. Lancet (London, England). 2010; 375(9730), 2032-2044.
https://doi.org/10.1016/S0140-6736(10)60678-2

14. UNICEF, WHO, World Bank Group, United Nations. Levels and Trends in Child Mortality Child Mortality. New York; 2017. [Accessed: September 07, 2020]

15. Lawn JE, Blencowe H, Oza S, You D, Lee ACC, Waiswa P, et al. Every Newborn: progress, priorities, and potential beyond survival. Lancet (London, England). 2014; 384(9938), 189-205.
https://doi.org/10.1016/S0140-6736(14)60496-7

16. Blencowe H, Cousens S, Jassir FB, Say L, Chou D, Mathers C, et al. National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: a systematic analysis. The Lancet Global health. 2016; 4(2), e98-e108.
https://doi.org/10.1016/S2214-109X(15)00275-2

17. Goldenberg RL, Mcclure EM, Jobe AH, Kamath-rayne BD, Gravette MG, Rubens CE. Stillbirths and neonatal mortality as outcomes (2013). International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics. 2013; 123(3), 252-253.
https://doi.org/10.1016/j.ijgo.2013.06.020

18. Lawn J, Shibuya K, Stein C. No cry at birth: global estimates of intrapartum stillbirths and intrapartum-related neonatal deaths (2005). Bulletin of the World Health Organization, 83 (6), 409 -417. [Accessed: December 12, 2020]

19. Abubakar I, Yentur GK, Farzadfar F, Shibuya K, Schmidt JC, Stroumpoulis K, et al. Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England). 2014 May 2;384(9947

20. Lawn JE, Cousens S, Zupan J. 4 million neonatal deaths: when? Where? Why?. Lancet (London, England). 2005; 365(9462), 891-900.
https://doi.org/10.1016/S0140-6736(05)71048-5

21. Campbell O, Gipson R, el-Mohandes A, Issa AH, Matta N, Mansour E. The Egypt National Perinatal/Neonatal Mortality Study 2000. Journal of perinatology: official journal of the California Perinatal Association. 2004; 24(5), 284-289.
https://doi.org/10.1038/sj.jp.7211084

22. Bhutta ZA, Darmstadt GL, Haws RA, Yakoob MY, Lawn JE. Delivering interventions to reduce the global burden of stillbirths: improving service supply and community demand. BMC Pregnancy Childbirth. 2009; 9, S7.
https://doi.org/10.1186/1471-2393-9-S1-S7

23. Liu L, Oza S, Hogan D, Perin J, Rudan I, Lawn JE, et al. Global, regional, and national causes of child mortality in 2000- 13, with projections to inform post-2015 priorities: an updated systematic analysis. Lancet (London, England). 2015; 385(9966), 430-440.
https://doi.org/10.1016/S0140-6736(14)61698-6

24. Högberg, Ulf. The World Health Report 2005: "Make every mother and child count" - Including Africans. Scandinavian journal of public health. 2005; 33. 409-11.
https://doi.org/10.1080/14034940500217037

25. Lawn JE, Blencowe H, Waiswa P, Amouzou A, Mathers C, Hogan D, et al. Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet (London, England). 2016; 387(10018), 587-603.
https://doi.org/10.1016/S0140-6736(15)00837-5

26. GBD 2015 Child Mortality Collaborators. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet (London, England). 2016; 388(10053), 1725-1774.

27. Shetty AK. Global Maternal, Newborn, and Child Health: Successes, Challenges, and Opportunities. Pediatric clinics of North America. 2016; 63(1), 1-18.
https://doi.org/10.1016/j.pcl.2015.08.001

28. United Nations. Transforming our world: The 2030 agenda for sustainable development. New York: United Nations. 2015; Available from: doi:10.1007/s13398-014-0173-7.2 [Accessed: October 08, 2020]

29. Levels & Trends in Child Mortality Report 2015. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation. United Nations Children's Fund, World Health Organization, World Bank and United Nations (UN IGME). New York; 2018. [Accessed: September, 7 2020]

30. Akombi BJ, Renzaho AM. Perinatal Mortality in Sub-Saharan Africa: A Meta-Analysis of Demographic and Health Surveys. Annals of Global Health. 2019; 85(1), 106.
https://doi.org/10.5334/aogh.2348

31. Kidanto HL, Mogren I, van Roosmalen J, Thomas AN. Massawe SN, Nystrom L. Introduction of a qualitative perinatal audit at Muhimbili National Hospital, Dar es Salaam, Tanzania. BMC Pregnancy Childbirth. 2009;9, 45.
https://doi.org/10.1186/1471-2393-9-45

32. Baqui AH, Mitra DK, Begum N, Hurt L, Soremekun S, Edmond. Neonatal mortality within 24 hours of birth in six low- and lower-middle-income countries. Bulletin of the World Health Organization. 2016; 94(10), 752-758B.
https://doi.org/10.2471/BLT.15.160945

33. Ersdal HL, Eilevstjønn J, Linde JE, Yeconia A, Mduma ER, Kidanto H, et al. Fresh stillborn and severely asphyxiated neonates share a common hypoxic-ischemic pathway. International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics. 2018; 141(2), 171-180.
https://doi.org/10.1002/ijgo.12430

34. Liu L, Oza S, Hogan D, Chu Y, Perin J, Zhu J, et al. Global, regional, and national causes of under-5 mortality in 2000-15: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet (London, England). 2016; 388(10063), 3027-3035.
https://doi.org/10.1016/S0140-6736(16)31593-8

35. Ersdal HL, Mduma E, Svensen E, Perlman J. Birth asphyxia: a major cause of early neonatal mortality in a Tanzanian rural hospital. Pediatrics. 2012; 129(5), e1238-e1243.
https://doi.org/10.1542/peds.2011-3134

36. Spector JM, Daga S. Preventing those so-called stillbirths Bulletin of the World Health Organization. April 2008; Vol 86,Number 4. [Accessed: October, 9 2020]
https://doi.org/10.2471/BLT.07.049924

37. Leuthner SR, Das UG. Low Apgar scores and the definition of birth asphyxia. Pediatr Clin North Am. 2004;51(3):737-745.
https://doi.org/10.1016/j.pcl.2004.01.016

38. Cosmi E, Fanelli T, Visentin S, Trevisanuto D, and Zanardo V. Consequences in Infants That Were Intrauterine Growth Restricted. 2011. Available at doi.org/10.1155/2011/364381
https://doi.org/10.1155/2011/364381

39. Allanson ER, Muller M, Pattinson RC. Causes of perinatal mortality and associated maternal complications in a South African province: challenges in predicting poor outcomes. BMC Pregnancy Childbirth; 2015. 15, 37.
https://doi.org/10.1186/s12884-015-0472-9

40. Bailey PE, Andualem W, Brun M. Freedman L, Gbangbade S, Kante M ,et al. Institutional maternal and perinatal deaths: a review of 40 low and middle income countries. BMC Pregnancy Childbirth. 2017; 17, 295
https://doi.org/10.1186/s12884-017-1479-1

41. Kiross GT, Chojenta C, Barker D, Loxton D. The effects of health expenditure on infant mortality in sub-Saharan Africa: evidence from panel data analysis. Health Econ Rev. 2020;10, 5.
https://doi.org/10.1186/s13561-020-00262-3

42. United Nations. The Millennium Development Goals Report. New York: United Nations. 2014; Available at: http://www.un.org/millenniumgoals/2014 MDG report/ [Accessed: October 09, 2020]

43. Lozano R, Wang H, Foreman KJ, Rajaratnam JK, Naghavi M, Marcus JR, et al. Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis. Lancet (London, England). 2011; 378(9797), 1139-1165.
https://doi.org/10.1016/S0140-6736(11)61337-8

44. WHO, UNICEF. Every Newborn: an action plan to end preventable deaths: Executive summary. Geneva: World Health Organization. Geneva; 2014. [Accessed: October 09, 2020]

45. Ministry of Health and Social Welfare (MoHSW) [Tanzania Mainland] M of H (MoH), [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) and, ICF International. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHSMIS) 2015-16. Dar es Salaam, Tanzania, and Rockville, Maryland, USA. 2016; [Accessed: December 09, 2020]

46. The National Road Map Strategic Plan to Improve Reproductive, Maternal, Newborn, Child & Adolescent Health in Tanzania (2016 - 2020): One Plan II. Dar Es Salaam: 2016; [Accessed on December 09, 2020]

47. Delivering quality health services: a global imperative for universal health coverage. Geneva: World Health Organization, Organisation for Economic Co-operation and Development, and The World Bank. 2018; Licence: CC BY-NC-SA 3.0 IGO [Accessed on November 08, 2020]

48. World Health Organization; 2020; accessed at https://www.who.int/maternal_child_adolescent/topics/quality- of-care/definition/en/ [Accessed October 24, 2020]

49. Hill JE, Stephani A, Sapple P, Clegg AJ. The effectiveness of continuous quality improvement for developing professional practice and improving health care outcomes: a systematic review. Implementation Sci. 2020; 15, 23
https://doi.org/10.1186/s13012-020-0975-2

50. Shortell SM, Brien JLO, Carman JM, Richard W, Hughes EFX, Boerstir H, et al. Assessing the impact of continuous quality improvement/total quality management: concept versus implementation. Health services research, 1995. 30(2), 377- 401.

51. Solberg L, Kottke T, Brekke M, Calomeni CA, Conn SA, Davidson G. (1996). Using continuous quality improvement to increase preventive services in clinical practice--going beyond guidelines. Preventive medicine, 25 3, 259-67
https://doi.org/10.1006/pmed.1996.0055

52. Cox S, Wilcock P, Young J. Improving the repeat prescribing process in a busy general practice. A study using continuous quality improvement methodology. Quality in Health Care: QHC. 1999 Jun;8(2):119-125.
https://doi.org/10.1136/qshc.8.2.119

53. Rokoske FS, Schenck AP, Hanson LC. The potential use of autopsy for continuous quality improvement in hospice and palliative care. Medscape journal of medicine. 2008; 10(12), 289.

54. Manyazewal T, Mekonnen A, Demelew T, Mengestu S, Abdu Y, Mammo D, et al. Improving immunization capacity in Ethiopia through continuous quality improvement interventions : a prospective quasi-experimental study. 2018;8:1-14.
https://doi.org/10.1186/s40249-018-0502-8

55. Msee GRW, Connelly DP. "Continuous quality improvement and medical informatics: the convergent synergy." Proceedings. Symposium on Computer Applications in Medical Care. 1992; 631-5.

56. Rubenstein L, Khodyakov D, Hempel S, Danz M, Salem-schatz S, Foy R, et al. How can we recognize continuous quality improvement ? (2014); 26(1):6-15. International journal for quality in health care. 2014; vol. 26,1: 6-15.
https://doi.org/10.1093/intqhc/mzt085

57. Nunes JW, Seagull FJ, Rao P, Segal JH, Mani NS, Heung M. Continuous quality improvement in nephrology: a systematic review. BMC Nephrol. 2016; 17, 190.
https://doi.org/10.1186/s12882-016-0389-1

58. Candas B, Jobin G, Tousignant M, Abdeljelil A, Grenier S, Gagnon M, et al. Barriers and facilitators to implementing continuous quality improvement programs in colonoscopy services : a mixed methods systematic review. 2016;118-33.
https://doi.org/10.1055/s-0041-107901

59. Vecchi S, Agabiti N, Mitrova S, Cacciani L, Amato L, Davoli M, et al. Audit and feedback, and continuous quality improvement strategies to improve the quality of care for type 2 diabetes: a systematic review of literature. Epidemiologia e Prevenzione. 2016 Mar-Apr;40(3-4):215-223.

60. Chaney EF, Rubenstein LV, Liu C, Yano EM, Bolkan C, Lee M, et al. Implementing collaborative care for depression treatment in primary care: A cluster randomized evaluation of a quality improvement practice redesign. Implementation Sci. 2011; 6, 121.
https://doi.org/10.1186/1748-5908-6-121

61. Horowitz CR, Goldberg HI, Martin DP, Wagner EH, Fihn SD, Christensen DB, Cheadle AD. Conducting a randomized controlled trial of CQI and academic detailing to implement clinical guidelines. Jt Comm J Qual Improv. 1996 Nov;22(11):734-50.
https://doi.org/10.1016/S1070-3241(16)30279-6

62. Horbar JD, Carpenter JH, Buzas J, Soll RF, Suresh G, Bracken MB, et al. Collaborative quality improvement to promote evidence based surfactant for preterm infants: a cluster randomised trial. BMJ. 2004 Oct; 30;329(7473):1004.
https://doi.org/10.1136/bmj.329.7473.1004

63. Miller WC, Rutstein SE, Phiri S, Kamanga G, Nsona D, Pasquale DK, et al. Randomized Controlled Pilot Study of Antiretrovirals and a Behavioral Intervention for Persons With Acute HIV Infection: Opportunity for Interrupting Transmission. Open Forum Infect Dis. 2018; 19;6(1):ofy341.

64. Nicholas K, Sattar A, Stange KC, Nevar AH, Davey C, Ferretti GA, et al. Practice-tailored facilitation to improve pediatric preventive care delivery: a randomized trial. Pediatrics. 2014 Jun;133(6):e1664-75.
https://doi.org/10.1542/peds.2013-1578

65. Rubenstein LV, Meredith LS, Parker LE, Gordon NP, Hickey SC, Oken C, et al. Impacts of evidence-based quality improvement on depression in primary care: a randomized experiment. J Gen Intern Med. 2006 Oct;21(10):1027-35.
https://doi.org/10.1111/j.1525-1497.2006.00549.x

66. Solomon DH, Losina E, Lu B, Zak A, Lee SB, Agosti J, et al. Implementation of Treat-to-Target in Rheumatoid Arthritis Through a Learning Collaborative: Results of a Randomized Controlled Trial. Arthritis Rheumatol. 2017 Jul;69(7):1374- 1380.
https://doi.org/10.1002/art.40111

67. Kennedy CC, Ioannidis G, Thabane L, Adachi JD, Marr S, Giangregorio LM, et al. Successful knowledge translation intervention in long-term care: final results from the vitamin D and osteoporosis study (ViDOS) pilot cluster randomized controlled trial. Trials. 2015 May 12;16:214.
https://doi.org/10.1186/s13063-015-0720-3

68. Liddy C, Hogg W, Singh J, Taljaard M, Russell G, Armstrong CD, et al. A real-world stepped wedge cluster randomized trial of practice facilitation to improve cardiovascular care Implementation Sci. 2015;10,150.
https://doi.org/10.1186/s13012-015-0341-y

69. Huffman MD, Mohanan PP, Devarajan R, Baldridge AS, Kondal D, Zhao L, et al. Effect of a Quality Improvement Intervention on Clinical Outcomes in Patients in India With Acute Myocardial Infarction: The ACS QUIK Randomized Clinical Trial. JAMA. 2018 Feb 13;319(6):567-578.
https://doi.org/10.1001/jama.2017.21906

70. Sherr K, Gimbel S, Rustagi A, Nduati R, Cuembelo F, Farquhar C, et al. Systems analysis and improvement to optimize pMTCT (SAIA): a cluster randomized trial Implementation Sci. 2014; 9, 55.
https://doi.org/10.1186/1748-5908-9-55

71. Meropol SB, Schiltz NK, Sattar A, Stange KC, Nevar AH, Davey C, et al. Practice-tailored facilitation to improve pediatric preventive care delivery: a randomized trial. Pediatrics. 2014;133(6), e1664-e1675.
https://doi.org/10.1542/peds.2013-1578

72. Noël PH, Romero RL, Robertson M, Parchman ML. Key activities used by community based primary care practices to improve the quality of diabetes care in response to practice facilitation. Quality in primary care. 2014; 22(4), 211-219

73. The International Liaison Committee on Resuscitation-Review of the last 25 years and vision for the future. Published: October 06, 2017. Available at; DOI:https://doi.org/10.1016/j.resuscitation.2017.09.029. [Accessed July 26, 2020]
https://doi.org/10.1016/j.resuscitation.2017.09.029

74. Perlman JM, Wyllie J, Kattwinkel J, Atkins DL, Chameides L, Goldsmith JP, et al. on behalf of the Neonatal Resuscitation Chapter Collaborators. Part 11: neonatal resuscitation: 2010 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations. Circulation. 2010;122(suppl 2):S516-S538.

75. The International Liaison Committee on Resuscitation (ILCOR) Consensus on Science With Treatment Recommendations for Pediatric and Neonatal Patients: Pediatric Basic and Advanced Life Support. Pediatrics May 2006; 117 (5) e955-e977.
https://doi.org/10.1542/peds.2006-0206

76. Chamberlain DA, Hazinski MF. European Resuscitation Council, American Heart Association, Heart and Stroke Foundation of Canada, Resuscitation Council of Southern Africa, Australia and New Zealand Resuscitation Council, & Consejo Latino-Americano de Resusucitación. Education in resuscitation: an ILCOR symposium: Utstein Abbey: Stavanger, Norway: June 22-24, 2001. Circulation. 2003; 108(20), 2575- 2594.
https://doi.org/10.1161/01.CIR.0000099898.11954.3B

77. Søreide E, Morrison L, Hillman K, Monsieurs K, Sunde K, Zideman D, et al. The formula for survival in resuscitation. Resuscitation. 2013 Nov; 84(11):1487-93.
https://doi.org/10.1016/j.resuscitation.2013.07.020

78. McLeod SA. Behaviorist approach. Simply Psychology. 2017, Available https://www.simplypsychology.org/behaviorism.html [Accessed on October 09, 2020]

79. Fischer KW. A theory of cognitive development: The control and construction of hierarchies of skills. Psychological Review. 1980; 87(6), 477-531.
https://doi.org/10.1037/0033-295X.87.6.477

80. Lutterer W. Piaget, Jean (1896-1980). In: Seel N.M. (eds). Springer, Boston, MA. 2012; 1428-6_482
https://doi.org/10.1007/978-1-4419-1428-6_482

81. Cambiaghi M, Sacchetti B. Ivan Petrovich Pavlov (1849-1936). Journal of Neurology. 2015 Jun;262(6):1599-1600.
https://doi.org/10.1007/s00415-015-7743-2

82. https://dictionary.cambridge.org/dictionary/english/ 4th edition [Accessed on June 09, 2020].

83. Hacker PMS. The Intellectual Powers: A Study of Human Nature. WILEY Blackwell; 2013
https://doi.org/10.1002/9781118609033

84. Anderson, Lorin W, David R, Krathwohl. A taxonomy for learning, teaching, and assessing: a revision of Bloom's taxonomy of educational objectives. New York: Longman. 2001. [Accessed August 2020]

85. Pennsylvania IN, Virginia W, Boone HN, Odell KS. Adult education philosophies practiced by agricultural education teachers. 2002;43(3):37-48.
https://doi.org/10.5032/jae.2002.03037

86. Merriam S. Andragogy and Self‐Directed Learning: Pillars of Adult Learning Theory. New Directions for Adult and Continuing Education. 2001;(89). 3 - 14.
https://doi.org/10.1002/ace.3

87. Knowles MS. "Andragogy: Adult Learning Theory in Perspective." Community College Review5, no. 3. January 1978; 9-20.
https://doi.org/10.1177/009155217800500302

88. Kaufman DM. Applying educational theory in practice. BMJ (Clinical research ed.). 2003; 326(7382), 213-216.
https://doi.org/10.1136/bmj.326.7382.213

89. "Toward a Theory of Instruction by Jerome S. Bruner. Cambridge: Belknap Press, 1966. 177 Pp. $3.95." The Bulletin of the National Association of Secondary School Principals 50, no. 309. April 1966; 304-12. [Accessed August 26, 2020]
https://doi.org/10.1177/019263656605030929

90. Thompson D, Cantu D, Ramirez B, Cullen KW, Baranowski T, Mendoza J, et al. Texting to Increase Adolescent Physical Activity: Feasibility Assessment. American journal of health behavior. 2016; 40(4), 472-483.
https://doi.org/10.5993/AJHB.40.4.9

91. Ten Cate TJ, Kusurkar RA, Williams GC. How self- determination theory can assist our understanding of the teaching and learning processes in medical education. AMEE guide No. 59. Medical teacher. 2011; 33(12), 961-973.
https://doi.org/10.3109/0142159X.2011.595435

92. Kusurkar RA, Amsterdam VU, Croiset G. Twelve tips to stimulate intrinsic motivation in students through autonomy- supportive classroom teaching derived from self-determination theory. Medical teacher. 2011; 33(12), 978-982.
https://doi.org/10.3109/0142159X.2011.599896

93. Durning SJ, Artino AR. Situativity theory: a perspective on how participants and the environment can interact: AMEE Guide no. 52. Medical teacher. 2011; 33(3), 188-199.
https://doi.org/10.3109/0142159X.2011.550965

94. Norman DA. Affordance, conventions, and design. Interactions. 1999; 6. 38-42.
https://doi.org/10.1145/301153.301168

95. Schon DA, DeSanctis V. The Reflective Practitioner: How Professionals Think in Action. The Journal of Continuing Higher Education. 1986;34:3, 29-30.
https://doi.org/10.1080/07377366.1986.10401080

96. Weiner B. Motivation from an attribution perspective and the social psychology of perceived competence. In Andrew J. Elliot & Carol S. Dweck (eds.), Handbook of Competence and Motivation. The Guilford Press. 2005; pp. 73-84

97. Skinner BF. The science of learning and the art of teaching. 1954; Available at; http://catalog.hathitrust.org/api/volumes/oclc/24193695.html. [Accessed July, 20 2020]

98. Duvivier RJ, Dalen J, Muijtjens AM, Moulaert VRM, Vleuten CPM, Scherpbier AJJ. The role of deliberate practice in the acquisition of clinical skills. BMC Med Educ. 2011; 11, 101.
https://doi.org/10.1186/1472-6920-11-101

99. Kolb DA, (1984). Experiential Learning: Experience As The Source Of Learning And Development. 2013; [Accessed July, 20 2020]

100. Nicol E, Turawa E, Bonsu G. Pre- and in-service training of health care workers on immunization data management in LMICs: a scoping review. Hum Resour Health. 2019;17(1):92.
https://doi.org/10.1186/s12960-019-0437-6

101. Gadamer H-G. The Enigma of Health:The Art of Healing in a Scientific Age. Jason Gaiger and Nicholas Walker, editor. Stanford, California: Stanford University Press; 1996.

102. Atherto J. Resistance to learning: a discussion based on participants in in-service professional training programmes. Journal of Vocational Education and Training. 1999;51:1, 77- 90,
https://doi.org/10.1080/13636829900200070

103. Lateef F. Simulation-based learning: Just like the real thing. J Emerg Trauma Shock. 2010;3(4):348-352.
https://doi.org/10.4103/0974-2700.70743

104. Bluestone J, Johnson P, Fullerton J, Carr C, Alderman J, BonTempo J. Effective in-service training design and delivery: evidence from an integrative literature review. Human resources for health. 2013; 11, 51.
https://doi.org/10.1186/1478-4491-11-51

105. Haluck RS, Krummel TM. Computers and Virtual Reality for Surgical Education in the 21st Century. Arch Surg. 2000 Jul; 1;135(7):786-92.
https://doi.org/10.1001/archsurg.135.7.786

106. Higham H, Baxendale B, To err is human: use of simulation to enhance training and patient safety in anaesthesia, BJA: British Journal of Anaesthesia, Volume 119, Issue suppl_1. December 2017; Pages i106-i114.
https://doi.org/10.1093/bja/aex302

107. The World's First Commercially Built Flight Simulator: The Link Trainer Blue Box. Accessed at; https://interestingengineering.com/the-worlds-first- commercially-built-flight-simulator-the-link-trainer-blue-box [Accessed August, 24 2020]

108. Buck GH. Development of simulators in medical education. Gesnerus. 1991; 48 Pt 1, 7-28.
https://doi.org/10.1163/22977953-04801002

109. Chalkias A, Antoniou P, Xanthos T. Education in resuscitation: The need for a new teaching method. Vol. 35, The American journal of emergency medicine. United States. 2017; p. 370-1.
https://doi.org/10.1016/j.ajem.2016.11.028

110. Motola I, Devine LA, Chung HS, Sullivan JE, Issenberg SB. Simulation in healthcare education: a best evidence practical guide. AMEE Guide No. 82. Medical teacher. 2013; 35(10), e1511-e1530.
https://doi.org/10.3109/0142159X.2013.818632

111. Williams B, Abel C, Khasawneh E, Ross L, levett-Jones T. Simulation experiences of paramedic students: A cross-cultural examination. Advances in Medical Education and Practice. 2016 Mar; 21;7:181-186.
https://doi.org/10.2147/AMEP.S98462

112. Drews FA, Bakdash JZ. Simulation Training in Health Care. Reviews of Human Factors and Ergonomics. 2013; 8, 191-234.
https://doi.org/10.1177/1557234X13492977

113. Grenvik A, Schaefer J. From Resusci-Anne to Sim-Man: the evolution of simulators in medicine. Critical care medicine. 2004; 32(2 Suppl), S56-S57.
https://doi.org/10.1097/00003246-200402001-00010

114. Ziv A, Wolpe PR, Small SD Glick S. "Simulation‐Based Medical Education: An Ethical Imperative." Academic Medicine. 2003; 78: 783-788.
https://doi.org/10.1097/00001888-200308000-00006

115. Cooper JB, Taqueti VR. A brief history of the development of mannequin simulators for clinical education and training. Quality & safety in health care. 2004; 13 Suppl 1(Suppl 1), i11- i18.

116. Maran NJ, Glavin RJ. Low- to high-fidelity simulation - a continuum of medical education? Medical education. 2003; 37 Suppl 1, 22-28.
https://doi.org/10.1046/j.1365-2923.37.s1.9.x

117. McGaghie WC, Issenberg SB, Cohen ER, Barsuk JH, Wayne DB. Does simulation-based medical education with deliberate practice yield better results than traditional clinical education? A meta-analytic comparative review of the evidence. Acad Med. 2011 Jun;86(6):706-11
https://doi.org/10.1097/ACM.0b013e318217e119

118. Muinga N, Paton C. 2019. Virtual reality for medical and nursing training in low- and middle-income countries. Pathways for Prosperity Commission Background Paper Series

no. 25. Oxford, United Kingdom. [Accessed August, 20 2020]

119. Puri L, Das J, Pai M, Agrawal P, Fitzgerald JE, Kelley E et al. Enhancing quality of medical care in low income and middle income countries through simulation-based initiatives: Recommendations of the Simnovate Global Health Domain Group. BMJ Simulation and Technology Enhanced Learning. 2017; 3. S15-S22.
https://doi.org/10.1136/bmjstel-2016-000180

120. Alanazi AA, Nicholson N, Thomas S. Use of simulation training to improve knowledge, skills, and confidence among healthcare students: A systematic review. The Internet Journal of Allied Health Sciences and Practice. 2017.
https://doi.org/10.46743/1540-580X/2017.1666

121. Corrigan J. Institute of Medicine (US) Committee on Quality of Health Care in America. To Err is Human: Building a Safer Health System. Edited by Linda T. Kohn et. al., National Academies Press (US), 2000. 2015; Available from: doi:10.17226/9728
https://doi.org/10.17226/9728

122. Moir T (2018) Why Is Implementation Science Important for Intervention Design and Evaluation Within Educational Settings? Front. Educ. 2018; 3:61.
https://doi.org/10.3389/feduc.2018.00061

123. Improving the quality of health services: tools and resources. Turning recommendations into practice. Geneva: World Health Organization; 2018. License: CC BY-NC-SA 3.0 IGO

124. Sahin I. "Detailed Review of Rogers' Diffusion of Innovations Theory and Educational Technology-Related Studies Based on Rogers' Theory." Turkish Online Journal of Educational Technology. 2006; 5: 14-23.

125. Carey M, Buchan H, Sanson-fisher ROB. The cycle of change: implementing best-evidence clinical practice, International Journal for Quality in Health Care. 2009; Volume 21, Issue 1, Pages 37-43,
https://doi.org/10.1093/intqhc/mzn049

126. Eccles MP, Armstrong D, Baker R, Cleary K, Davies H, Davies S, et al. An implementation research agenda. Implementation Science. 2009; 7;4. 18.
https://doi.org/10.1186/1748-5908-4-18

127. Aarons GA, Hurlburt M, Horwitz SM. Advancing a conceptual model of evidence-based practice implementation in public service sectors. Administration and policy in mental health. 2011; 38(1), 4-23.
https://doi.org/10.1007/s10488-010-0327-7

128. Grimshaw JM, Eccles MP, Walker AE, Thomas RE. Changing physicians' behavior: what works and thoughts on getting more things to work. The Journal of continuing education in the health professions. 2002; 22(4), 237-243.
https://doi.org/10.1002/chp.1340220408

129. Boyce JM, Pittet D. Guideline for Hand Hygiene in Health- Care Settings. Recommendations of the Healthcare Infection Control Practices Advisory Committee and the HICPAC/SHEA/APIC/IDSA Hand Hygiene Task Force. Society for Healthcare Epidemiology of America/Association for Professionals in Infection Control/Infectious Diseases Society of America. MMWR Recomm reports 2002 Oct;51(RR- 16):1-45, quiz CE1-4. [Accessed on June, 24, 2020]

130. Nilsen P, Roback K, Broström A, Ellström P. Creatures of habit: accounting for the role of habit in implementation research on clinical behaviour change. Implementation science. 2012; IS, 7, 53.
https://doi.org/10.1186/1748-5908-7-53

131. Fixsen DL, Blase KA, Naoom SF, Wallace F. Core Implementation Components. Res Soc Work Pract. 2009; 27;19(5):531-40.
https://doi.org/10.1177/1049731509335549

132. Dewey J. 1922. Human nature and conduct; an introduction to social psychology. New York: Holt
https://doi.org/10.1037/14663-000

133. Glisson C, Schoenwald SK. The ARC Organizational and Community Intervention Strategy for Implementing Evidence- Based Children's Mental Health Treatments. Ment Health Serv Res. 2005; 7(4):243-59.
https://doi.org/10.1007/s11020-005-7456-1

134. Eccles MP, Mittman BS, Welcome to Implementation Science. Implementation Sci. 2006; 1.
https://doi.org/10.1186/1748-5908-1-1

135. Keesey J, Hicks J, Decristofaro A, Kerr EA. The Quality of Health Care Delivered to Adults in the United States. Engl J Med. 2003; 348:2635-2
https://doi.org/10.1056/NEJMsa022615

136. Greenhalgh T, Robert G, Macfarlane F, Bate P, and Kyriakidou O. "Diffusion of innovations in service organizations: systematic review and recommendations." The Milbank Quarterly. 2004;82, 4: 581-629. )
https://doi.org/10.1111/j.0887-378X.2004.00325.x

137. Lenfant C. Clinical Research to Clinical Practice - Lost in Translation? N Engl J Med. 2003; 28;349(9):868-74.
https://doi.org/10.1056/NEJMsa035507

138. Institute of Medicine (US) Committee on Clinical Practice Guidelines; Field MJ, Lohr KN, editors. Guidelines for Clinical Practice: From Development to Use. Washington (DC): National Academies Press (US). 1992; Available from: https://www.ncbi.nlm.nih.gov/books/NBK234503/doi: 10.17226/1863 [Accessed July 26, 2020]
https://doi.org/10.17226/1863

139. Grol R, Cluzeau F, Burgers J. Clinical practice guidelines: towards better quality guidelines and increased international collaboration. Br J Cancer. 2003; 89, S4-S8.
https://doi.org/10.1038/sj.bjc.6601077

140. Budimu A, Emidi B, Mkumbaye S, Kajeguka DC. Adherence, Awareness, Access, and Use of Standard Diagnosis and Treatment Guideline for Malaria Case Management among Healthcare Workers in Meatu, Tanzania (2020). Journal of Tropical Medicine. 2020:1918583.
https://doi.org/10.1155/2020/1918583

141. Storm-Versloot MN, Knops AM, Ubbink DT, Goossens A, Legemate DA, Vermeulen H. Long‐term adherence to a local guideline on postoperative body temperature measurement: mixed methods analysis. Journal of Evaluation in Clinical Practice. 2012; 18: 841-847.
https://doi.org/10.1111/j.1365-2753.2011.01687.x

142. Grol R, Grimshaw J. From best evidence to best practice: effective implementation of change in patients' care. Lancet (London, England). 2003; 362(9391), 1225-1230.
https://doi.org/10.1016/S0140-6736(03)14546-1

143. Doherty SR, Jones PD. Use of an 'evidence-based implementation' strategy to implement evidence-based care of asthma into rural district hospital emergency departments. Rural and remote health. 2006; 6(1), 529.
https://doi.org/10.22605/RRH529

144. Kotter, JP. 2012. Leading change. Boston, Mass: Harvard Business Review Press. [Accessed December 16, 2020]

145. Lewin's 3-Stage Model of Change: Unfreezing, Changing & Refreezing. 2012, September 11. Accessed from https://study.com/academy/lesson/lewins-3-stage-model-of- change-unfreezing-changing-refreezing.htm [Accessed July 23, 2020]

146. Smidt A, Balandin S, Sigafoos J, Reed VA. The Kirkpatrick model: A useful tool for evaluating training outcomes. J Intellect Dev Disabil. 2009; 34(3):266-74.
https://doi.org/10.1080/13668250903093125

147. Best M, Neuhauser D. Walter A Shewhart, 1924, and the Hawthorne factory. Quality & safety in health care. 2006; 15(2), 142-143.
https://doi.org/10.1136/qshc.2006.018093

148. Taylor & Francis, Ltd. on behalf of the American Statistical Association. Journal of the American Statistical Association Vol. 40, No. 232, Part 1. Dec. 1945. pp. 425-447
https://doi.org/10.1080/01621459.1945.10500745

149. Thor J, Lundberg J, Ask J, Olsson J, Carli C, Härenstam KP et al. Application of statistical process control in healthcare improvement: systematic review. Qual Saf Health Care. 2007;16(5):387-399.
https://doi.org/10.1136/qshc.2006.022194

150. Lie RT, Vollset SE, Botting B, Skjærven R. Statistical methods for surveillance of congenital malformations: when do the data indicate a true shift in the risk that an infant is affected by some type of malformation?. The International journal of risk & safety in medicine. 1991; 2(5), 289-300.
https://doi.org/10.3233/JRS-1991-2506

151. Sasikumar R, Devi RB. Performance of three statistical methods for the surveillance of birth defect. J Stat Manag Syst. 2017; 20(5):835-46.
https://doi.org/10.1080/09720510.2017.1406642

152. Kuhan G, Mccollum DP, Renwick PM, Chetter IC, Mccollum PT. Variable life adjusted display methodology for continuous performance monitoring of carotid endarterectomy. Annals of the Royal College of Surgeons of England. 2018; 100(1), 63-66.
https://doi.org/10.1308/rcsann.2017.0170

153. Rasmussen TB, Ulrichsen SP, Nørgaard M. Use of risk- adjusted CUSUM charts to monitor 30-day mortality in Danish hospitals. Clinical Epidemiology. 2018;10:445-456.
https://doi.org/10.2147/CLEP.S157162

154. Watkins RE, Eagleson S, Veenendaal B, Wright G, Plant AJ. Applying cusum-based methods for the detection of outbreaks of Ross River virus disease in Western Australia. BMC Medical Informatics and Decision Making. 2008; 8, 37.
https://doi.org/10.1186/1472-6947-8-37

155. Cancedda C, Farmer PE, Kerry V, Nuthulaganti T, Scott KW, Goosby E et al. Maximizing the impact of training initiatives for health professionals in low-income countries: frameworks, challenges, and best practices. PLoS Med 12(6): e1001840. https://doi.org/10.1371/journal.pmed.1001840
https://doi.org/10.1371/journal.pmed.1001840

156. WHO, UNFPA, UNICEF, AMDD. Monitoring emergency obstetric care: a handbook. Geneva: WHO; 2009. http://whqlibdoc.who.int/publications/2009/9789241547734_en g.pdf?ua=1. [Accessed July 2017].

157. Singhal N, Lockyer J, Fidler H, Keenan W, Little G, Bucher S et al. Helping Babies Breathe: Global neonatal resuscitation program development and formative educational evaluation. Resuscitation. 2012; 83:90±96.
https://doi.org/10.1016/j.resuscitation.2011.07.010

158. American Academy of Pediatric. http://www.helpingbabiesbreathe.org [Accessed July 23, 2020]

159. Msemo G, Massawe A, Mmbando D, Rusibamayila N, Manji K, Kidanto HL, et al. Newborn Mortality and Fresh Stillbirth Rates in Tanzania After Helping Babies Breathe Training. Pediatrics. 2013 February; 131(2):e353-60.
https://doi.org/10.1542/peds.2012-1795

160. Budhathoki SS, Gurung R, Ewald U, Thapa J, Ashish KC. Does the Helping Babies Breathe Programme impact on neonatal resuscitation care practices? Results from systematic review and meta-analysis. Acta paediatrica (Oslo, Norway: 1992) 2019; 108(5), 806-813.
https://doi.org/10.1111/apa.14706

161. Reisman J, Arlington L, Jensen L, Louis H, Suarez-Rebling D, Nelson BD. Newborn resuscitation training in resource- limited settings: A systematic literature review. Vol. 138, Pediatrics. American Academy of Pediatrics; Pediatrics. 2016;138 (2) e20154490.
https://doi.org/10.1542/peds.2015-4490

162. Perlman JM, Velaphi S, Massawe A, Clarke R, Merali H, Ersda HL. Achieving Country-Wide Scale for Helping Babies Breathe and Helping Babies Survive. Pediatrics. 2020;146;S194S.

163. Ersdal HL, Singhal N. Resuscitation in resource-limited settings. Seminars in fetal & neonatal medicine. 2013; 18(6), 373-378.
https://doi.org/10.1016/j.siny.2013.07.001

164. Tabangin ME, Josyula S, Taylor KK, Vasquez JC, Kamath- Rayne BD. Resuscitation skills after Helping Babies Breathe training: a comparison of varying practice frequency and impact on retention of skills in different types of providers. International health. 2018; 10(3), 163-171.
https://doi.org/10.1093/inthealth/ihy017

165. Kc A, Wrammert J, Nelin V, Clark RB, Ewald U, Peterson S, et al. Evaluation of Helping Babies Breathe Quality Improvement Cycle (HBB-QIC) on retention of neonatal resuscitation skills six months after training in Nepal. BMC Pediatr. 2017; 17, 103.
https://doi.org/10.1186/s12887-017-0853-5

166. Kc A, Wrammert J, Clark RB, Ewald U, Vitrakoti R, Chaudhary P, et al. Reducing Perinatal Mortality in Nepal Using Helping Babies Breathe. Pediatrics. 2016; 137(6), e20150117.
https://doi.org/10.1542/peds.2015-0117

167. Kamath-Rayne BD, Josyula S, Rule ARL, Vasquez JC. Improvements in the delivery of resuscitation and newborn care after Helping Babies Breathe training. Journal of perinatology : official journal of the California Perinatal Association. 2017;37(10), 1153-1160.
https://doi.org/10.1038/jp.2017.110

168. Shukla VV, Carlo WA. Review of the evidence for interventions to reduce perinatal mortality in low- and middle- income countries. International journal of pediatrics & adolescent medicine. 2020; 7(1), 2-8.
https://doi.org/10.1016/j.ijpam.2020.02.004

169. Ersdal HL, Vossius C, Bayo E, Mduma E, Perlman J, Lippert A, et al. A one-day "Helping Babies Breathe" course improves simulated performance but not clinical management of neonates. Resuscitation. 2013; 84(10), 1422-1427.
https://doi.org/10.1016/j.resuscitation.2013.04.005

170. Bang A, Patel A, Bellad R, Gisore P, Goudar SS, Esamai F, et al. Helping Babies Breathe (HBB) training: What happens to knowledge and skills over time? BMC Pregnancy Childbirth. 2016;16, 364.
https://doi.org/10.1186/s12884-016-1141-3

171. Eblovi D, Kelly P, Afua G, Agyapong S, Dante S, Pellerite M. Retention and use of newborn resuscitation skills following a series of Helping Babies breathe trainings for midwives in rural Ghana. Glob Health Action. 2017;10(1):1387985.
https://doi.org/10.1080/16549716.2017.1387985

172. Bang A, Bellad R, Gisore P, Hibberd P, Patel A, Goudar S, et al. Implementation and evaluation of the Helping Babies Breathe curriculum in three resource limited settings: does Helping Babies Breathe save lives? A study protocol. BMC pregnancy and childbirth. 2014; 14, 116.
https://doi.org/10.1186/1471-2393-14-116

173. Wall SN, Lee AC, Carlo W, Goldenberg R, Niermeyer S, Darmstadt GL, et al. Reducing intrapartum-related neonatal deaths in low- and middle-income countries-what works? Seminars in perinatology. 2010; 34(6), 395-407.
https://doi.org/10.1053/j.semperi.2010.09.009

174. American Academy of Pediatrics: Textbook of Neonatal Resuscitation. 2006, Sixth Edition [Accessed July 26, 2020]

175. Kerber KJ, Mathai M, Lewis G, Flenady V, Erwich JJH, Segun T, et al Counting every stillbirth and neonatal death through mortality audit to improve quality of care for every pregnant woman and her baby. BMC Pregnancy Childbirth. 2015;15, S9.
https://doi.org/10.1186/1471-2393-15-S2-S9

176. Grimshaw J, Campbell M, Eccles M, Steen N. Experimental and quasi-experimental designs for evaluating guideline implementation strategies. Fam Pract. 2000 Feb;17; Suppl 1:S11-6.
https://doi.org/10.1093/fampra/17.suppl_1.S11

177. Thallinger M, Ersdal HL, Francis F, Yeconia A, Mduma E, Kidanto H, Linde J, Eilevstjønng J NGKS. Born not breathing: A randomised trial comparing two self-inflating bag-masks during newborn resuscitation in Tanzania. Resuscitation. 2017; 04.012
https://doi.org/10.1016/j.resuscitation.2017.04.012

178. Mduma E, Gratz J, Patil C et al. The etiology, risk factors, and interactions of enteric infections and Malnutrition and the Consequences for Child Health and Development Study (MAL- ED): Description of the Tanzanian Site. Clin Infect Dis. 2014;59:S325-30
https://doi.org/10.1093/cid/ciu439

179. Ersdal HL, Mduma E, Svensen E, Perlman JM. Early initiation of basic resuscitation interventions including face mask ventilation may reduce birth asphyxia related mortality in low-income countries: a prospective descriptive observational study. Resuscitation. 2012; 83(7):869-873.
https://doi.org/10.1016/j.resuscitation.2011.12.011

180. Haydom Lutheran Hospital 2011 annual report [haydom.or.tz.] [Accessed August 25, 2020]

181. Mduma E, Kvaløy JT, Soreide E, Svensen E, Mdoe P, Perlman J et al. Frequent refresher training on newborn resuscitation and potential impact on perinatal outcome over time in a rural Tanzanian hospital: an observational study. BMJ Open; 2019; 9(9):e030572.
https://doi.org/10.1136/bmjopen-2019-030572

182. Mdoe PF, Ersdal HL, Mduma E, Moshiro R, Kidanto H, Mbekenga C. Midwives' perceptions on using a fetoscope and Doppler for fetal heart rate assessments during labor: a qualitative study in rural Tanzania. BMC Pregnancy Childbirth. 2018;18, 103.
https://doi.org/10.1186/s12884-018-1736-y

183. Mduma ER, Ersdal H, Kvaloy JT, Svensen E, Mdoe P, Perlman J, et al. Using statistical process control methods to trace small changes in perinatal mortality after a training program in a low-resource setting, International Journal for Quality in Health Care. 2018; Volume 30, Issue 4, Pages 271- 275.
https://doi.org/10.1093/intqhc/mzy003

184. Mdoe PF, Ersdal HL, Mduma E, Moshiro R, Dalen I, Perlman JM, et al. Randomized controlled trial of continuous Doppler versus intermittent fetoscope fetal heart rate monitoring in a low-resource setting. Int J Gynecol Obstet. 2018; 143(3):344-50.
https://doi.org/10.1002/ijgo.12648

185. Mduma E, Ersdal H, Svensen E, Hussein K, Bjorn A, Perlman J. Frequent brief on-site simulation training and reduction in 24-h neonatal mortality-An education intervention study. Resuscitation 2015; 93: 1-7.
https://doi.org/10.1016/j.resuscitation.2015.04.019

186. Taylor MJ, McNicholas C, Nicolay C, Darzi A, Bell D, Reed J Systematic review of the application of the plan-do- study-act method to improve quality in healthcare BMJ Quality & Safety. 2014 ;23:290-298.
https://doi.org/10.1136/bmjqs-2013-001862

187. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013;310(20), 2191-2194. [Accessed August 25, 2020]
https://doi.org/10.1001/jama.2013.281053

188. Department of Health, Education, and Welfare, & National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report. Ethical principles and guidelines for the protection of human subjects of research. The Journal of the American College of Dentists. 2014; 81(3), 4-13[Accessed August 25, 2020]

189. Frank Vanclay, James T. Baines & C. Nicholas Taylor. Principles for ethical research involving humans: ethical professional practice in impact assessment Part I, Impact Assessment and Project Appraisal. 2013; 31:4,243-253.
https://doi.org/10.1080/14615517.2013.850307

190. Kc A, Målqvist M, Wrammert J, Verma S, Aryal DR, Clark R, et al. Implementing a simplified neonatal resuscitation protocol-helping babies breathe at birth (HBB) - at a tertiary level hospital in Nepal for an increased perinatal survival. BMC Pediatr. 2012;12, 159.
https://doi.org/10.1186/1471-2431-12-159

191. Gomez PP, Nelson AR, Asiedu A, Addo E, Agbodza D, Allen C, et al. Accelerating newborn survival in Ghana through a low-dose, high-frequency health worker training approach: a cluster randomized trial. BMC Pregnancy Childbirth. 2018;18, 72.
https://doi.org/10.1186/s12884-018-1705-5

192. Drake M, Bishanga DR, Temu A, Njozi M, Thomas E, Mponzi V, et al. Structured on-the-job training to improve retention of newborn resuscitation skills: a national cohort Helping Babies Breathe study in Tanzania. BMC Pediatr. 2019;19, 51.
https://doi.org/10.1186/s12887-019-1419-5

193. Mukhtar-yola M, Audu LI, Olaniyan O, Akinbi HT, Dawodu A, Donovan EF. Decreasing birth asphyxia: utility of statistical process control in a low-resource setting. BMJ open quality. 2018; 7(3), e000231.
https://doi.org/10.1136/bmjoq-2017-000231

194. Dol J, Campbell-Yeo M, Murphy GT, Aston M, McMillan D, Richardson B. The impact of the Helping Babies Survive program on neonatal outcomes and health provider skills: a systematic review. JBI Database Syst Rev Implement Reports. 2018;16(3):701-737
https://doi.org/10.11124/JBISRIR-2017-003535

195. Morris SM, Fratt EM, Rodriguez J, et al. Implementation of the Helping Babies Breathe Training Program: A Systematic Review. Pediatrics. 2020;146(3): e20193938
https://doi.org/10.1542/peds.2019-3938

196. Sachlas A, Bersimis S, Psarakis S. Risk-Adjusted Control Charts: Theory, Methods, and Applications in Health. Stat Biosci. 2019;11(3):630-58.
https://doi.org/10.1007/s12561-019-09257-z

197. Moger TA, Peltola M. Risk adjustment of health-care performance measures in a multinational register-based study: A pragmatic approach to a complicated topic. SAGE open medicine. 2014;2, 2050312114526589.
https://doi.org/10.1177/2050312114526589

198. Omachi TA, Gregorich SE, Eisner MD, Penaloza RA, Tolstykh IV, Yelin EH, et al. Risk adjustment for health care financing in chronic disease: what are we missing by failing to account for disease severity? Medical care. 2013; 51(8), 740- 747.
https://doi.org/10.1097/MLR.0b013e318298082f

199. Ersdal LH, Mduma E, Svensen E, Sundby J, Perlman J: Intermittent Detection of Fetal Heart Rate Abnormalities Identify Infants at Greatest Risk for Fresh Stillbirths, Birth Asphyxia, Neonatal Resuscitation, and Early Neonatal Deaths in a Limited-Resource Setting: A Prospective Descriptive Observational Study at Haydom Lutheran Hospital. Neonatology. 2012;102:235-242.
https://doi.org/10.1159/000339481

200. Sialubanje C, Massar K, Hamer DH, et al. Reasons for home delivery and use of traditional birth attendants in rural Zambia: a qualitative study. BMC Pregnancy Childbirth. 2015;15:216
https://doi.org/10.1186/s12884-015-0652-7

201. Cavallin F, Cavicchiolo ME, Pizzol D, Putoto G, Wingi OM, Trevisanuto D, et al. Effect of a Low-Dose/High- Frequency Training on Real-Life Neonatal Resuscitation in a Low-Resource Setting. Neonatology. 2018;114(4), 294-302.
https://doi.org/10.1159/000490370

202. Sutton RM, Niles D, Meaney PA, Aplenc R, French B, Abella, BS, et al. Low-dose, high-frequency CPR training improves skill retention of in-hospital pediatric providers. Pediatrics. 2011;128(1), e145-e151.
https://doi.org/10.1542/peds.2010-2105

203. Evans CL, Bazant E, Atukunda I, Williams E, Niermeyer S, Hiner C, et al. Peer-assisted learning after onsite, low-dose, high-frequency training and practice on simulators to prevent and treat postpartum hemorrhage and neonatal asphyxia: A pragmatic trial in 12 districts in Uganda. PloS one. 2018;13(12), e0207909.
https://doi.org/10.1371/journal.pone.0207909

204. Ramage M. Learning and Change in the Work of Donald Schon: Reflection on Theory and Theory on Reflection. In: Szabla DB, Pasmore WA, Barnes MA, Gipson AN, editors. The Palgrave Handbook of Organizational Change Thinkers. Cham: Springer International Publishing; 2017. p. 1-15. Available from: https://doi.org/10.1007/978-3-319-49820-1_57-1
https://doi.org/10.1007/978-3-319-49820-1_57-1

205. Cavicchiolo ME, Cavallin F, Staffler A, Pizzol D, Matediana E, Wingi OM, et al. Decision making and situational awareness in neonatal resuscitation in low resource settings. Resuscitation. 2019;134, 41-48.
https://doi.org/10.1016/j.resuscitation.2018.10.034

206. Niermeyer S, Robertson NJ, Ersdal HL. Beyond basic resuscitation: What are the next steps to improve the outcomes of resuscitation at birth when resources are limited?. Seminars in fetal & neonatal medicine. 2018;23(5), 361-368.
https://doi.org/10.1016/j.siny.2018.06.002

207. Macintyre A. Ethics in the conflict of modernity, an essay on desire, practical reasoning, and narrative. Cambridge university press; 2009.

208. Bandura, Albert (1982). "Self-efficacy mechanism in human agency". American Psychologist. 37 (2): 122-147
https://doi.org/10.1037/0003-066X.37.2.122

209. Dearing JW, Cox JG. Diffusion Of Innovations Theory, Principles, and Practice. Health Aff. 2018 Feb; 1;37(2):183-90.
https://doi.org/10.1377/hlthaff.2017.1104

210. Birken SA, Haines ER, Hwang S, et al. Advancing understanding and identifying strategies for sustaining evidence-based practices: a review of reviews. Implementation Sci. 2020;15, 88.
https://doi.org/10.1186/s13012-020-01040-9

211. Ersdal HL, Singhal N, Msemo G, KC A, Data S, Moyo NT, et al. Successful implementation of Helping Babies Survive and Helping Mothers Survive programs‹An Utstein formula for newborn and maternal survival. PLoS ONE. 2017; 12(6): e0178073.
https://doi.org/10.1371/journal.pone.0178073

212. Kamath-Rayne BD, Thukral A, Visick MK, Schoen E, Amick E, Deorari A, et al. Helping Babies Breathe, Second Edition: A Model for Strengthening Educational Programs to Increase Global Newborn Survival. Glob Heal Sci Pract. 2018 Oct; 6(3):538-51.
https://doi.org/10.9745/GHSP-D-18-00147

213. Andrade C. Internal, External, and Ecological Validity in Research Design, Conduct, and Evaluation. Indian journal of psychological medicine. 2018;40(5), 498-499.
https://doi.org/10.4103/IJPSYM.IJPSYM_334_18

214. Skelly AC, Dettori JR, Brodt ED. Assessing bias: the importance of considering confounding. Evidence-based spine- care journal. 2012; 3(1), 9-12.
https://doi.org/10.1055/s-0031-1298595

215. Sedgwick P. Randomised controlled trials: understanding confounding. BMJ (Clinical research ed.). 2015; 351, h5119.
https://doi.org/10.1136/bmj.h5119

216. Odierna DH, Forsyth SR, White J & Bero LA. (2013). The cycle of bias in health research: a framework and toolbox for critical appraisal training. Accountability in research 2013;20(2), 127-141.
https://doi.org/10.1080/08989621.2013.768931

217. Fernald DH, Coombs L, DeAlleaume L, West D, Parnes B. An assessment of the Hawthorne Effect in practice-based research. Journal of the American Board of Family Medicine : JABFM. 2012;25(1), 83-86.
https://doi.org/10.3122/jabfm.2012.01.110019

218. Althubaiti A. Information bias in health research: definition, pitfalls, and adjustment methods. J Multidiscip Healthc. 2016;2016;9:211-217.
https://doi.org/10.2147/JMDH.S104807

219. Steckler A, McLeroy KR. The importance of external validity. American journal of public health. 2008;98(1), 9-10.
https://doi.org/10.2105/AJPH.2007.126847

220. Burchett H, Umoquit M, Dobrow M. How do we know when research from one setting can be useful in another? A review of external validity, applicability and transferability frameworks. Journal of health services research & policy. 2011;16(4), 238-244.
https://doi.org/10.1258/jhsrp.2011.010124

221. Waddington H, Aloe AM, Becker BJ, Djimeu EW, Hombrados JG, Tugwell P, et al. Wells and Barney Reeves. "Quasi-experimental study designs series-paper 6: risk of bias assessment." Journal of clinical epidemiology. 2017;89: 43-52
https://doi.org/10.1016/j.jclinepi.2017.02.015

222. Holland PW. Statistics and Causal Inference. Journal of the American Statistical Association. 1986;81:396,945-960,
https://doi.org/10.1080/01621459.1986.10478354

223. Moura LM, Westover MB, Kwasnik D, Cole AJ, Hsu J. Causal inference as an emerging statistical approach in neurology: an example for epilepsy in the elderly. Clinical epidemiology. 2016;9, 9-18.
https://doi.org/10.2147/CLEP.S121023
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