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PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity
High-performing primary health care (PHC) is essential for achieving universal health coverage. However, in many countries, PHC is weak and unable to deliver on its potential. Improvement is often limited by a lack of actionable data to inform policies and set priorities. To address this gap, the Pr...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748065/ https://www.ncbi.nlm.nih.gov/pubmed/31565420 http://dx.doi.org/10.1136/bmjgh-2019-001822 |
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author | Ratcliffe, Hannah L Schwarz, Dan Hirschhorn, Lisa R Cejas, Cintia Diallo, Abdoulaye Garcia-Elorrio, Ezequiel Fifield, Jocelyn Gashumba, Diane Hartshorn, Lucy Leydon, Nicholas Mohamed, Mohamed Nakamura, Yoriko Ndiaye, Youssoupha Novignon, Jacob Ofosu, Anthony Roder-DeWan, Sanam Rwiyereka, Angelique Secci, Federica Veillard, Jeremy H Bitton, Asaf |
author_facet | Ratcliffe, Hannah L Schwarz, Dan Hirschhorn, Lisa R Cejas, Cintia Diallo, Abdoulaye Garcia-Elorrio, Ezequiel Fifield, Jocelyn Gashumba, Diane Hartshorn, Lucy Leydon, Nicholas Mohamed, Mohamed Nakamura, Yoriko Ndiaye, Youssoupha Novignon, Jacob Ofosu, Anthony Roder-DeWan, Sanam Rwiyereka, Angelique Secci, Federica Veillard, Jeremy H Bitton, Asaf |
author_sort | Ratcliffe, Hannah L |
collection | PubMed |
description | High-performing primary health care (PHC) is essential for achieving universal health coverage. However, in many countries, PHC is weak and unable to deliver on its potential. Improvement is often limited by a lack of actionable data to inform policies and set priorities. To address this gap, the Primary Health Care Performance Initiative (PHCPI) was formed to strengthen measurement of PHC in low-income and middle-income countries in order to accelerate improvement. PHCPI’s Vital Signs Profile was designed to provide a comprehensive snapshot of the performance of a country’s PHC system, yet quantitative information about PHC systems’ capacity to deliver high-quality, effective care was limited by the scarcity of existing data sources and metrics. To systematically measure the capacity of PHC systems, PHCPI developed the PHC Progression Model, a rubric-based mixed-methods assessment tool. The PHC Progression Model is completed through a participatory process by in-country teams and subsequently reviewed by PHCPI to validate results and ensure consistency across countries. In 2018, PHCPI partnered with five countries to pilot the tool and found that it was feasible to implement with fidelity, produced valid results, and was highly acceptable and useful to stakeholders. Pilot results showed that both the participatory assessment process and resulting findings yielded novel and actionable insights into PHC strengths and weaknesses. Based on these positive early results, PHCPI will support expansion of the PHC Progression Model to additional countries to systematically and comprehensively measure PHC system capacity in order to identify and prioritise targeted improvement efforts. |
format | Online Article Text |
id | pubmed-6748065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67480652019-09-27 PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity Ratcliffe, Hannah L Schwarz, Dan Hirschhorn, Lisa R Cejas, Cintia Diallo, Abdoulaye Garcia-Elorrio, Ezequiel Fifield, Jocelyn Gashumba, Diane Hartshorn, Lucy Leydon, Nicholas Mohamed, Mohamed Nakamura, Yoriko Ndiaye, Youssoupha Novignon, Jacob Ofosu, Anthony Roder-DeWan, Sanam Rwiyereka, Angelique Secci, Federica Veillard, Jeremy H Bitton, Asaf BMJ Glob Health Practice High-performing primary health care (PHC) is essential for achieving universal health coverage. However, in many countries, PHC is weak and unable to deliver on its potential. Improvement is often limited by a lack of actionable data to inform policies and set priorities. To address this gap, the Primary Health Care Performance Initiative (PHCPI) was formed to strengthen measurement of PHC in low-income and middle-income countries in order to accelerate improvement. PHCPI’s Vital Signs Profile was designed to provide a comprehensive snapshot of the performance of a country’s PHC system, yet quantitative information about PHC systems’ capacity to deliver high-quality, effective care was limited by the scarcity of existing data sources and metrics. To systematically measure the capacity of PHC systems, PHCPI developed the PHC Progression Model, a rubric-based mixed-methods assessment tool. The PHC Progression Model is completed through a participatory process by in-country teams and subsequently reviewed by PHCPI to validate results and ensure consistency across countries. In 2018, PHCPI partnered with five countries to pilot the tool and found that it was feasible to implement with fidelity, produced valid results, and was highly acceptable and useful to stakeholders. Pilot results showed that both the participatory assessment process and resulting findings yielded novel and actionable insights into PHC strengths and weaknesses. Based on these positive early results, PHCPI will support expansion of the PHC Progression Model to additional countries to systematically and comprehensively measure PHC system capacity in order to identify and prioritise targeted improvement efforts. BMJ Publishing Group 2019-09-13 /pmc/articles/PMC6748065/ /pubmed/31565420 http://dx.doi.org/10.1136/bmjgh-2019-001822 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Practice Ratcliffe, Hannah L Schwarz, Dan Hirschhorn, Lisa R Cejas, Cintia Diallo, Abdoulaye Garcia-Elorrio, Ezequiel Fifield, Jocelyn Gashumba, Diane Hartshorn, Lucy Leydon, Nicholas Mohamed, Mohamed Nakamura, Yoriko Ndiaye, Youssoupha Novignon, Jacob Ofosu, Anthony Roder-DeWan, Sanam Rwiyereka, Angelique Secci, Federica Veillard, Jeremy H Bitton, Asaf PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity |
title | PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity |
title_full | PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity |
title_fullStr | PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity |
title_full_unstemmed | PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity |
title_short | PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity |
title_sort | phc progression model: a novel mixed-methods tool for measuring primary health care system capacity |
topic | Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748065/ https://www.ncbi.nlm.nih.gov/pubmed/31565420 http://dx.doi.org/10.1136/bmjgh-2019-001822 |
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