Evidence map›Paper›PMID 31565420›Full record

ReviewBMJ global health2019

PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity.

Hannah L Ratcliffe, Dan Schwarz, Lisa R Hirschhorn, Cintia Cejas, Abdoulaye Diallo, Ezequiel Garcia-Elorrio, Jocelyn Fifield, Diane Gashumba, Lucy Hartshorn, Nicholas Leydon and 10 more

Abstract readReview
In one paragraph

Review in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Hannah L RatcliffeAriadne Labs, Brigham and Women's Hospital & Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0003-4134-5112
Dan SchwarzAriadne Labs, Brigham and Women's Hospital & Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Lisa R HirschhornDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-4355-7437
Cintia CejasSecretaria de Gobierno de Salud, Ministerio de Salud y Desarrollo Social, Buenos Aires, Argentina.
Abdoulaye DialloDirectorate of Planning, Research and Statistics, Ministry of Health and Social Action, Dakar, Senegal.
Ezequiel Garcia-ElorrioInstitute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Jocelyn FifieldAriadne Labs, Brigham and Women's Hospital & Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-9521-1465
Diane GashumbaMinistry of Health, Kigali, Rwanda.
Lucy HartshornAriadne Labs, Brigham and Women's Hospital & Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Nicholas LeydonBill & Melinda Gates Foundation, Seattle, Washington, USA.
Mohamed MohamedMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, United Republic of Tanzania.
Yoriko NakamuraResults for Development, Washington, District of Columbia, USA.
Youssoupha NdiayeDirectorate of Planning, Research and Statistics, Ministry of Health and Social Action, Dakar, Senegal.
Jacob NovignonKwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Anthony OfosuDivision of Policy, Planning, Monitoring and Evaluation, Ghana Health Service, Accra, Ghana.
Sanam Roder-DeWanHealth Section, UNICEF Tanzania, Dar es Salaam, United Republic of Tanzania.ORCID 0000-0003-0114-2505
Angelique RwiyerekaGlobal Health Issues and Solutions, Kigali, Rwanda.
Federica SecciHealth, Nutrition and Population Global Practice, World Bank Group, Washington, District of Columbia, USA.
Jeremy H VeillardHealth, Nutrition and Population Global Practice, World Bank Group, Washington, District of Columbia, USA.
Asaf BittonAriadne Labs, Brigham and Women's Hospital & Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-3633-3806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

capacityglobal healthmeasurementPrimary careprimary health careuniversal health coverage

Identifiers

PMID31565420
PMCPMC6748065

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.