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Artículo

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, EzequielIcon ; 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
Fecha de publicación: 09/2019
Editorial: BMJ Publishing Group
Revista: BMJ Global Health
e-ISSN: 2059-7908
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias de la Salud

Resumen

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.
Palabras clave: CAPACITY , GLOBAL HEALTH , MEASUREMENT , PRIMARY CARE , PRIMARY HEALTH CARE , UNIVERSAL HEALTH COVERAGE
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution 2.5 Unported (CC BY 2.5)
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URI: http://hdl.handle.net/11336/174953
DOI: http://dx.doi.org/10.1136/bmjgh-2019-001822
URL: https://gh.bmj.com/content/4/5/e001822
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Citación
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
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