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What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria
INTRODUCTION: The SARS-CoV-2 (COVID-19) pandemic overwhelmed some primary health care (PHC) systems, while others adapted and recovered. In Nigeria, large, within-state variations existed in the ability to maintain PHC service volumes. Identifying characteristics of high-performing local government...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660915/ https://www.ncbi.nlm.nih.gov/pubmed/37984895 http://dx.doi.org/10.1136/bmjgh-2023-012700 |
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author | Neill, Rachel Peters, Michael A Bello, Segun Dairo, Magbagbeola David Azais, Viviane Samuel Jegede, Ayodele Adebowale, Ayo Stephen Nzelu, Charles Azodo, Ngozi Adoghe, Anthony Wang, William Bartlein, Rebecca Liu, Anne Ogunlayi, Munirat Yaradua, Saudatu Umma Shapira, Gil Hansen, Peter M Fawole, Olufunmilayo I Ahmed, Tashrik |
author_facet | Neill, Rachel Peters, Michael A Bello, Segun Dairo, Magbagbeola David Azais, Viviane Samuel Jegede, Ayodele Adebowale, Ayo Stephen Nzelu, Charles Azodo, Ngozi Adoghe, Anthony Wang, William Bartlein, Rebecca Liu, Anne Ogunlayi, Munirat Yaradua, Saudatu Umma Shapira, Gil Hansen, Peter M Fawole, Olufunmilayo I Ahmed, Tashrik |
author_sort | Neill, Rachel |
collection | PubMed |
description | INTRODUCTION: The SARS-CoV-2 (COVID-19) pandemic overwhelmed some primary health care (PHC) systems, while others adapted and recovered. In Nigeria, large, within-state variations existed in the ability to maintain PHC service volumes. Identifying characteristics of high-performing local government areas (LGAs) can improve understanding of subnational health systems resilience. METHODS: Employing a sequential explanatory mixed-methods design, we quantitatively identified ‘positive deviant’ LGAs based on their speed of recovery of outpatient and antenatal care services to prepandemic levels using service volume data from Nigeria’s health management information system and matched them to comparators with similar baseline characteristics and slower recoveries. 70 semistructured interviews were conducted with LGA officials, facility officers and community leaders in sampled LGAs to analyse comparisons based on Kruk’s resilience framework. RESULTS: A total of 57 LGAs were identified as positive deviants out of 490 eligible LGAs that experienced a temporary decrease in PHC-level outpatient and antenatal care service volumes. Positive deviants had an average of 8.6% higher outpatient service volume than expected, and comparators had 27.1% lower outpatient volume than expected after the initial disruption to services. Informants in 12 positive deviants described health systems that were more integrated, aware and self-regulating than comparator LGAs. Positive deviants were more likely to employ demand-side adaptations, whereas comparators primarily focused on supply-side adaptations. Barriers included long-standing financing and PHC workforce gaps. CONCLUSION: Sufficient flexible financing, adequate PHC staffing and local leadership enabled health systems to recover service volumes during COVID-19. Resilient PHC requires simultaneous attention to bottom-up and top-down capabilities connected by strong leadership. |
format | Online Article Text |
id | pubmed-10660915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-106609152023-11-19 What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria Neill, Rachel Peters, Michael A Bello, Segun Dairo, Magbagbeola David Azais, Viviane Samuel Jegede, Ayodele Adebowale, Ayo Stephen Nzelu, Charles Azodo, Ngozi Adoghe, Anthony Wang, William Bartlein, Rebecca Liu, Anne Ogunlayi, Munirat Yaradua, Saudatu Umma Shapira, Gil Hansen, Peter M Fawole, Olufunmilayo I Ahmed, Tashrik BMJ Glob Health Original Research INTRODUCTION: The SARS-CoV-2 (COVID-19) pandemic overwhelmed some primary health care (PHC) systems, while others adapted and recovered. In Nigeria, large, within-state variations existed in the ability to maintain PHC service volumes. Identifying characteristics of high-performing local government areas (LGAs) can improve understanding of subnational health systems resilience. METHODS: Employing a sequential explanatory mixed-methods design, we quantitatively identified ‘positive deviant’ LGAs based on their speed of recovery of outpatient and antenatal care services to prepandemic levels using service volume data from Nigeria’s health management information system and matched them to comparators with similar baseline characteristics and slower recoveries. 70 semistructured interviews were conducted with LGA officials, facility officers and community leaders in sampled LGAs to analyse comparisons based on Kruk’s resilience framework. RESULTS: A total of 57 LGAs were identified as positive deviants out of 490 eligible LGAs that experienced a temporary decrease in PHC-level outpatient and antenatal care service volumes. Positive deviants had an average of 8.6% higher outpatient service volume than expected, and comparators had 27.1% lower outpatient volume than expected after the initial disruption to services. Informants in 12 positive deviants described health systems that were more integrated, aware and self-regulating than comparator LGAs. Positive deviants were more likely to employ demand-side adaptations, whereas comparators primarily focused on supply-side adaptations. Barriers included long-standing financing and PHC workforce gaps. CONCLUSION: Sufficient flexible financing, adequate PHC staffing and local leadership enabled health systems to recover service volumes during COVID-19. Resilient PHC requires simultaneous attention to bottom-up and top-down capabilities connected by strong leadership. BMJ Publishing Group 2023-11-19 /pmc/articles/PMC10660915/ /pubmed/37984895 http://dx.doi.org/10.1136/bmjgh-2023-012700 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Neill, Rachel Peters, Michael A Bello, Segun Dairo, Magbagbeola David Azais, Viviane Samuel Jegede, Ayodele Adebowale, Ayo Stephen Nzelu, Charles Azodo, Ngozi Adoghe, Anthony Wang, William Bartlein, Rebecca Liu, Anne Ogunlayi, Munirat Yaradua, Saudatu Umma Shapira, Gil Hansen, Peter M Fawole, Olufunmilayo I Ahmed, Tashrik What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria |
title | What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria |
title_full | What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria |
title_fullStr | What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria |
title_full_unstemmed | What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria |
title_short | What made primary health care resilient against COVID-19? A mixed-methods positive deviance study in Nigeria |
title_sort | what made primary health care resilient against covid-19? a mixed-methods positive deviance study in nigeria |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660915/ https://www.ncbi.nlm.nih.gov/pubmed/37984895 http://dx.doi.org/10.1136/bmjgh-2023-012700 |
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