Evidence map›Paper›PMID 30928948›Full record

ArticleBMJ open2019

Effectiveness of the Diagnose-Intervene- Verify-Adjust (DIVA) model for integrated primary healthcare planning and performance improvement: an embedded mixed methods evaluation in Kaduna state, Nigeria.

Ejemai Amaize Eboreime, Nonhlanhla Nxumalo, Rohit Ramaswamy, Latifat Ibisomi, Nnenna Ihebuzor, John Eyles

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.5field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 3 institutions in 4 countries.

Ejemai Amaize EboreimeDepartment of Planning, Research and Statistics, National Primary Healthcare Development Agency, Abuja, Nigeria.ORCID 0000-0001-8277-2570
Nonhlanhla NxumaloCentre for Health Policy, School of Public Health, University of the Witwatersrand, Johannesburg-Braamfontein, South Africa.
Rohit RamaswamyGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Latifat IbisomiEpidemiology and Biostatistics Division, School of Public Health, University of Witswaterstrand, Johannesburg, South Africa.
Nnenna IhebuzorDepartment of PHC Systems, National Primary Healthcare Development Agency, Abuja, FCT, Nigeria.
John EylesCentre for Health Policy, School of Public Health, University of the Witwatersrand, Johannesburg-Braamfontein, South Africa.
University of the Witwatersrand · ZANational Primary Health Care Development Agency · NGUniversity of North Carolina at Chapel Hill · US

Funding

Wits-UNC Partnership: Expanding Capacity in HIV Implementation Science in South AfricaD43TW009774 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PETTIFOR, AUDREY, RAMASWAMY, ROHIT · 2014 to 2023
$3.0M
FIC NIH HHS D43 TW009774
6 · The paper itself

Abstract

objectivesThis study evaluates the real-world effectiveness of Diagnose-Intervene-Verify-Adjust (DIVA), an innovative quality improvement mode, in improving primary healthcare (PHC) bottlenecks impeding health system performance in Kaduna, a northern Nigerian state.

designAn embedded mixed method study design involving participant observation.

settingPHCs in 23 local government areas of Kaduna state, Nigeria.

participants138 PHC managers across the state (PHC directors and programme managers in the 23 local governments).

interventionDIVA is a four-step improvement model in which 'Diagnose' identifies constraints to effective coverage, 'Intervene' develops/implements action plans addressing constraints, while 'Verify/Adjust' monitor performance and revise plans. PRIMARY AND SECONDARY OUTCOME MEASURES: The model, as adapted in Nigeria, is designed to evaluate and improve the availability of health commodities, human resources, geographical accessibility, acceptability, continuous utilisation and quality of four PHC interventions (immunisation, integrated management of childhood illnesses, antenatal care and skilled birth attendance).

results183 bottlenecks were identified by local government teams across all interventions in 2013. 41% of bottlenecks concern human resources. Geographical access and availability of commodities ranked least. Availability of commodities was the most improved determinant although among the least constrained, probably indicating skewed implementation of operational plans. 1562 activities were planned to address identified bottlenecks in the state, of which only 568 (36%) were completely implemented

conclusionOur study demonstrates that PHC planning using the DIVA model can potentially improve health system performance. However, effective implementation is critical and may require some central government oversight.

Indexed as

Delivery of Health CareHealth PlanningHealth Systems PlansHumansModels, TheoreticalNigeriaPrimary Health CareProgram EvaluationQuality Improvementhealth planninghealth systemsnigeriaprimary healthcarequality improvement

Identifiers

PMID30928948
PMCPMC6477390
OpenAlexW2932417660

What OpenQuestion holds

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LicenceCC BY-NC
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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.