Evidence map›Paper›PMID 31780388›Full record

ArticleHealth & place2020

The temporalities of policymaking: The case of HIV test-and-treat policy adoption in Zimbabwe.

Meg Moran, Morten Skovdal, Edith Mpandaguta, Rufurwokuda Maswera, Noah Kadzura, Freedom Dzamatira, Constance Nyamukapa, Simon Gregson, Malebogo Tlhajoane

Abstract read
In one paragraph

Article in Health & place, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
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  3. 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

9 authors.

Meg MoranDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Morten SkovdalDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark; Biomedical Research and Training Institute, Harare, Zimbabwe. Electronic address: m.skovdal@gmail.com.
Edith MpandagutaBiomedical Research and Training Institute, Harare, Zimbabwe.
Rufurwokuda MasweraBiomedical Research and Training Institute, Harare, Zimbabwe.
Noah KadzuraBiomedical Research and Training Institute, Harare, Zimbabwe.
Freedom DzamatiraBiomedical Research and Training Institute, Harare, Zimbabwe.
Constance NyamukapaBiomedical Research and Training Institute, Harare, Zimbabwe; School of Public Health, Imperial College London, London, UK.
Simon GregsonBiomedical Research and Training Institute, Harare, Zimbabwe; School of Public Health, Imperial College London, London, UK.
Malebogo TlhajoaneSchool of Public Health, Imperial College London, London, UK.

Funding

Medical Research Council MR/R015600/1Wellcome TrustWellcome Trust 105265/Z/14/Z
6 · The paper itself

Abstract

Despite calls for "rapid adoption" of global health policies and treatment guidelines; there is little understanding of the factors that help accelerate their adoption and implementation. Drawing on in-depth interviews with sixteen Zimbabwean policymakers, we unpack how different factors, rhythmic experiences and epochal practices come together to shape the speeding up and slowing down of test-and-treat implementation in Zimbabwe. We present an empirically derived framework for the temporal analysis of policy adoption and argue that such analysis can help highlight the multiple and messy realities of policy adoption and implementation - supporting future calls for 'rapid' policy adoption.

Indexed as

Global HealthHealth PolicyHIV InfectionsPolicy MakingHumansInterviews as TopicMass ScreeningTime FactorsZimbabweHIVPolicy studiesTemporalityTest-and-treatZimbabwe

Identifiers

PMID31780388
PMCPMC7274170

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.