Evidence map›Paper›PMID 35863829›Full record

ArticleBMJ open2022

Patient preferences for facility-based management of hypertension and diabetes in rural Uganda: a discrete choice experiment.

Sarah Eg Moor, Andrew K Tusubira, Dallas Wood, Ann R Akiteng, Deron Galusha, Baylah Tessier-Sherman, Evelyn Hsieh Donroe, Christine Ngaruiya, Tracy L Rabin, Nicola L Hawley and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
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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

17 authors at 5 institutions in 2 countries.

Sarah Eg MoorYale School of Medicine, New Haven, Connecticut, USA sarah.moor@yale.edu.ORCID 0000-0003-1192-2572
Andrew K TusubiraUganda Initiative for Integrated Management of Non-communicable Diseases, Kampala, Uganda.
Dallas WoodCenter for Applied Economics and Strategy, RTI International, Research Triangle Park, North Carolina, USA.
Ann R AkitengUganda Initiative for Integrated Management of Non-communicable Diseases, Kampala, Uganda.
Deron GalushaEquity Research and Innovation Center, Yale School of Medicine, New Haven, Connecticut, USA.
Baylah Tessier-ShermanEquity Research and Innovation Center, Yale School of Medicine, New Haven, Connecticut, USA.
Evelyn Hsieh DonroeDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Christine NgaruiyaYale Network for Global Non-communicable Diseases, Yale University, New Haven, Connecticut, USA.ORCID 0000-0002-4583-0986
Tracy L RabinUganda Initiative for Integrated Management of Non-communicable Diseases, Kampala, Uganda.ORCID 0000-0002-4829-9051
Nicola L HawleyYale Network for Global Non-communicable Diseases, Yale University, New Haven, Connecticut, USA.ORCID 0000-0002-2601-3454
Mari Armstrong-HoughDepartment of Social and Behavioral Sciences and Department of Epidemiology, School of Global Public Health, New York University, New York, New York, USA.
Brenda D NakiryaCommunity Concerns Uganda Initiative, Jinja, Uganda.
Rachel NugentGlobal Non-Communicable Diseases, RTI International, Seattle, Washington, USA.
Robert KalyesubulaAfrican Community for Social Sustainability, Nakaseke, Uganda.ORCID 0000-0003-3211-163X
Christine NalwaddaDepartment of Community Health and Behavioural Sciences, Makerere University School of Public Health, Kampala, Uganda.
Isaac SsinabulyaUganda Initiative for Integrated Management of Non-communicable Diseases, Kampala, Uganda.
Jeremy I SchwartzUganda Initiative for Integrated Management of Non-communicable Diseases, Kampala, Uganda.ORCID 0000-0003-0139-2600
Yale University · USUganda Institute of Information & Communications Technology · UGMakerere University · UGRTI International · USNew York University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Risk for Bone Loss Among Individuals with HIV in a Resource-Limited EnvironmentK01TW009995 · FIC · YALE UNIVERSITY · PI HSIEH, EVELYN · 2015 to 2019
$693k
FIC NIH HHS K01 TW009995NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

objectiveTo explore how respondents with common chronic conditions-hypertension (HTN) and diabetes mellitus (DM)-make healthcare-seeking decisions.

settingThree health facilities in Nakaseke District, Uganda.

designDiscrete choice experiment (DCE).

participants496 adults with HTN and/or DM.

main outcome measuresWillingness to pay for changes in DCE attributes: getting to the facility, interactions with healthcare providers, availability of medicines for condition, patient peer-support groups; and education at the facility.

resultsRespondents were willing to pay more to attend facilities that offer peer-support groups, friendly healthcare providers with low staff turnover and greater availabilities of medicines. Specifically, we found the average respondent was willing to pay an additional 77 121 Ugandan shillings (UGX) for facilities with peer-support groups over facilities with none; and 49 282 UGX for 1 month of medicine over none, all other things being equal. However, respondents would have to compensated to accept facilities that were further away or offered health education. Specifically, the average respondent would have to be paid 3929 UGX to be willing to accept each additional kilometre they would have to travel to the facilities, all other things being equal. Similarly, the average respondent would have to be paid 60 402 UGX to accept facilities with some health education, all other things being equal.

conclusionsOur findings revealed significant preferences for health facilities based on the availability of medicines, costs of treatment and interactions with healthcare providers. Understanding patient preferences can inform intervention design to optimise healthcare service delivery for patients with HTN and DM in rural Uganda and other low-resource settings.

Indexed as

Diabetes MellitusHypertensionAdultHumansPatient PreferenceRural PopulationUgandaDIABETES & ENDOCRINOLOGYHypertensionInternational health services

Identifiers

PMID35863829
PMCPMC9310153
OpenAlexW4286516524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.