Evidence map›Paper›PMID 38028707›Full record

ArticleHealth science reports2023

Enrollment of dengue patients in a prospective cohort study in Umphang District, Thailand, during the COVID-19 pandemic: Implications for research and policy.

Donald S Shepard, Priya Agarwal-Harding, Sukhum Jiamton, Eduardo A Undurraga, Sukhontha Kongsin

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. Article
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

5 authors at 4 institutions in 4 countries.

Donald S ShepardSchneider Institutes for Health Policy Heller School for Social Policy and Management, Brandeis University Waltham Massachusetts USA.ORCID 0000-0003-2187-0593
Priya Agarwal-HardingSchneider Institutes for Health Policy Heller School for Social Policy and Management, Brandeis University Waltham Massachusetts USA.ORCID 0009-0003-7557-8405
Sukhum JiamtonResearch Centre for Health Economics and Evaluation, Faculty of Public Health Mahidol University Bangkok Thailand.ORCID 0000-0003-1068-1586
Eduardo A UndurragaEscuela de Gobierno Pontificia Universidad Católica de Chile Santiago Chile.ORCID 0000-0002-4425-1253
Sukhontha KongsinResearch Centre for Health Economics and Evaluation, Faculty of Public Health Mahidol University Bangkok Thailand.ORCID 0000-0001-7310-8088
Brandeis University · USCanadian Institute for Advanced Research · CAMahidol University · THSiriraj Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Dengue is endemic in Thailand and imposes a high burden on the health system and society. We conducted a prospective cohort study in Umphang District, Tak Province, Thailand, to investigate the share of dengue cases with long symptoms and their duration. Here we present the results of the enrollment process during the COVID-19 pandemic with implications and challenges for research and policy. Methods: In a prospective cohort study conducted in Umphang District, Thailand, we examined the prevalence of persistent symptoms in dengue cases. Clinically diagnosed cases were offered free laboratory testing, We enrolled ambulatory dengue patients regardless of age who were confirmed through a highly sensitive laboratory strategy (positive NS1 and/or IgM), agreed to follow-up visits, and gave informed consent. We used multivariate logistic regressions to assess the probability of clinical dengue being laboratory confirmed. To determine the factors associated with study enrollment, we analyzed the relationship of patient characteristics and month of screening to the likelihood of participation. To identify underrepresented groups, we compared the enrolled cohort to external data sources. Results: The 150 clinical cases ranged from 1 to 85 years old. Most clinical cases (78%) were confirmed by a positive laboratory test, but only 19% of those confirmed enrolled in the cohort study. Women, who were half as likely to enroll as men, were underrepresented in the cohort. Conclusions: The Thai physicians' clinical diagnoses at this rural district hospital had good agreement with laboratory diagnoses. By identifying underrepresented groups and disparities, future studies can ensure the creation of statistically representative cohorts to maximize their scientific value. This involves recruiting and retaining underrepresented groups in health research, such as women in this study. Promising strategies for meaningful inclusion include multi-site enrollment, offering in-home or virtual services, and providing in-kind benefits like childcare for underrepresented groups.

Indexed as

cohortdenguedistrict hospitalglobal healthneglected diseasesThailand

Identifiers

PMID38028707
PMCPMC10630743
OpenAlexW4388494201

What OpenQuestion holds

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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.