PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacity
- Autores
- 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
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Ratcliffe, Hannah L.. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados Unidos
Fil: Schwarz, Dan. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unidos
Fil: Hirschhorn, Lisa R.. Northwestern University; Estados Unidos
Fil: Cejas, Cintia. Ministerio de Desarrollo Social; Argentina. Ministerio de Salud de la Nación; Argentina
Fil: DIallo, Abdoulaye. Ministry Of Health And Social Action; Senegal
Fil: Garcia Elorrio, Ezequiel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fifield, Jocelyn. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados Unidos
Fil: Gashumba, DIane. Ministry of Health; Ruanda
Fil: Hartshorn, Lucy. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unidos
Fil: Leydon, Nicholas. Bill And Melinda Gates Foundation; Estados Unidos
Fil: Mohamed, Mohamed. Ministry Of Health And Social Welfare Dar Es Salaam; Tanzania
Fil: Nakamura, Yoriko. Results For Development; Estados Unidos
Fil: Ndiaye, Youssoupha. Ministry Of Health And Social Action; Senegal
Fil: Novignon, Jacob. Kwame Nkrumah University Of Science And Technology; Ghana
Fil: Ofosu, Anthony. Ghana Health Service; Ghana
Fil: Roder Dewan, Sanam. Organización de las Naciones Unidas. Unicef. Fondo de las Naciones Unidas para la Infancia; Argentina
Fil: Rwiyereka, Angelique. Global Health Issues and Solutions; Estados Unidos
Fil: Secci, Federica. The World Bank Group; Estados Unidos
Fil: Veillard, Jeremy H.. The World Bank Group; Estados Unidos
Fil: Bitton, Asaf. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unidos - Materia
-
CAPACITY
GLOBAL HEALTH
MEASUREMENT
PRIMARY CARE
PRIMARY HEALTH CARE
UNIVERSAL HEALTH COVERAGE - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/174953
Ver los metadatos del registro completo
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PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacityRatcliffe, Hannah L.Schwarz, DanHirschhorn, Lisa R.Cejas, CintiaDIallo, AbdoulayeGarcia Elorrio, EzequielFifield, JocelynGashumba, DIaneHartshorn, LucyLeydon, NicholasMohamed, MohamedNakamura, YorikoNdiaye, YoussouphaNovignon, JacobOfosu, AnthonyRoder Dewan, SanamRwiyereka, AngeliqueSecci, FedericaVeillard, Jeremy H.Bitton, AsafCAPACITYGLOBAL HEALTHMEASUREMENTPRIMARY CAREPRIMARY HEALTH CAREUNIVERSAL HEALTH COVERAGEhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3High-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.Fil: Ratcliffe, Hannah L.. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados UnidosFil: Schwarz, Dan. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados UnidosFil: Hirschhorn, Lisa R.. Northwestern University; Estados UnidosFil: Cejas, Cintia. Ministerio de Desarrollo Social; Argentina. Ministerio de Salud de la Nación; ArgentinaFil: DIallo, Abdoulaye. Ministry Of Health And Social Action; SenegalFil: Garcia Elorrio, Ezequiel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fifield, Jocelyn. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados UnidosFil: Gashumba, DIane. Ministry of Health; RuandaFil: Hartshorn, Lucy. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados UnidosFil: Leydon, Nicholas. Bill And Melinda Gates Foundation; Estados UnidosFil: Mohamed, Mohamed. Ministry Of Health And Social Welfare Dar Es Salaam; TanzaniaFil: Nakamura, Yoriko. Results For Development; Estados UnidosFil: Ndiaye, Youssoupha. Ministry Of Health And Social Action; SenegalFil: Novignon, Jacob. Kwame Nkrumah University Of Science And Technology; GhanaFil: Ofosu, Anthony. Ghana Health Service; GhanaFil: Roder Dewan, Sanam. Organización de las Naciones Unidas. Unicef. Fondo de las Naciones Unidas para la Infancia; ArgentinaFil: Rwiyereka, Angelique. Global Health Issues and Solutions; Estados UnidosFil: Secci, Federica. The World Bank Group; Estados UnidosFil: Veillard, Jeremy H.. The World Bank Group; Estados UnidosFil: Bitton, Asaf. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados UnidosBMJ Publishing Group2019-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/174953Ratcliffe, Hannah L.; Schwarz, Dan; Hirschhorn, Lisa R.; Cejas, Cintia; DIallo, Abdoulaye; et al.; PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacity; BMJ Publishing Group; BMJ Global Health; 4; 5; 9-2019; 1-142059-7908CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1136/bmjgh-2019-001822info:eu-repo/semantics/altIdentifier/url/https://gh.bmj.com/content/4/5/e001822info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:58Zoai:ri.conicet.gov.ar:11336/174953instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:36:58.565CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
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 |
| spellingShingle |
PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacity Ratcliffe, Hannah L. CAPACITY GLOBAL HEALTH MEASUREMENT PRIMARY CARE PRIMARY HEALTH CARE UNIVERSAL HEALTH COVERAGE |
| title_short |
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_sort |
PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacity |
| dc.creator.none.fl_str_mv |
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 |
Ratcliffe, Hannah L. |
| 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_role |
author |
| author2 |
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 |
| author2_role |
author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
CAPACITY GLOBAL HEALTH MEASUREMENT PRIMARY CARE PRIMARY HEALTH CARE UNIVERSAL HEALTH COVERAGE |
| topic |
CAPACITY GLOBAL HEALTH MEASUREMENT PRIMARY CARE PRIMARY HEALTH CARE UNIVERSAL HEALTH COVERAGE |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
| dc.description.none.fl_txt_mv |
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. Fil: Ratcliffe, Hannah L.. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados Unidos Fil: Schwarz, Dan. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unidos Fil: Hirschhorn, Lisa R.. Northwestern University; Estados Unidos Fil: Cejas, Cintia. Ministerio de Desarrollo Social; Argentina. Ministerio de Salud de la Nación; Argentina Fil: DIallo, Abdoulaye. Ministry Of Health And Social Action; Senegal Fil: Garcia Elorrio, Ezequiel. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Fifield, Jocelyn. Brigham And Women's Hospital; Estados Unidos. Harvard T.H. Chan School of Public Health; Estados Unidos Fil: Gashumba, DIane. Ministry of Health; Ruanda Fil: Hartshorn, Lucy. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unidos Fil: Leydon, Nicholas. Bill And Melinda Gates Foundation; Estados Unidos Fil: Mohamed, Mohamed. Ministry Of Health And Social Welfare Dar Es Salaam; Tanzania Fil: Nakamura, Yoriko. Results For Development; Estados Unidos Fil: Ndiaye, Youssoupha. Ministry Of Health And Social Action; Senegal Fil: Novignon, Jacob. Kwame Nkrumah University Of Science And Technology; Ghana Fil: Ofosu, Anthony. Ghana Health Service; Ghana Fil: Roder Dewan, Sanam. Organización de las Naciones Unidas. Unicef. Fondo de las Naciones Unidas para la Infancia; Argentina Fil: Rwiyereka, Angelique. Global Health Issues and Solutions; Estados Unidos Fil: Secci, Federica. The World Bank Group; Estados Unidos Fil: Veillard, Jeremy H.. The World Bank Group; Estados Unidos Fil: Bitton, Asaf. Harvard T.H. Chan School of Public Health; Estados Unidos. Brigham And Women's Hospital; Estados Unidos |
| 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. |
| publishDate |
2019 |
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2019-09 |
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publishedVersion |
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http://hdl.handle.net/11336/174953 Ratcliffe, Hannah L.; Schwarz, Dan; Hirschhorn, Lisa R.; Cejas, Cintia; DIallo, Abdoulaye; et al.; PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacity; BMJ Publishing Group; BMJ Global Health; 4; 5; 9-2019; 1-14 2059-7908 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/174953 |
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Ratcliffe, Hannah L.; Schwarz, Dan; Hirschhorn, Lisa R.; Cejas, Cintia; DIallo, Abdoulaye; et al.; PHC Progression Model: A novel mixed-methods tool for measuring primary health care system capacity; BMJ Publishing Group; BMJ Global Health; 4; 5; 9-2019; 1-14 2059-7908 CONICET Digital CONICET |
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