Evidence map›Paper›PMID 37466418›Full record

ArticleGlobal health action2023

Generalisability of and lessons learned from a mixed-methods study conducted in three low- and middle-income countries to identify care pathways for atrial fibrillation.

Tiffany E Gooden, Jingya Wang, Alessandra Carvalho Goulart, Ana C Varella, Meihui Tai, Vethanayagan Antony Sheron, Hao Wang, Hui Zhang, Jiaoyue Zhong, Balachandran Kumarendran and 8 more

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.9field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

18 authors at 5 institutions in 4 countries.

Tiffany E GoodenInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-3905-5477
Jingya WangInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0003-1498-2693
Alessandra Carvalho GoulartFaculdade de Medicina, Universidade, Sao Paulo, São Paulo, Brazil.ORCID 0000-0003-1076-5210
Ana C VarellaFaculdade de Medicina, Universidade, Sao Paulo, São Paulo, Brazil.
Meihui TaiDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Vethanayagan Antony SheronDepartment of Community and Family Medicine, Faculty of Medicine, University of Jaffna, Jaffna, Sri Lanka.
Hao WangDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Hui ZhangDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Jiaoyue ZhongDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Balachandran KumarendranDepartment of Community and Family Medicine, Faculty of Medicine, University of Jaffna, Jaffna, Sri Lanka.ORCID 0000-0001-7786-5932
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-6816-1279
Rajendra SurenthirakumaranDepartment of Community and Family Medicine, Faculty of Medicine, University of Jaffna, Jaffna, Sri Lanka.ORCID 0000-0002-3344-1158
Isabela M BensenorFaculdade de Medicina, Universidade, Sao Paulo, São Paulo, Brazil.ORCID 0000-0002-6723-5678
Yutao GuoDepartment of Cardiology, Chinese PLA General Hospital, Beijing, China.
Gregory Y H LipLiverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, UK.
G Neil ThomasInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-2777-1847
Semira Manaseki-HollandInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0001-5827-8855
NIHR Global Health Research Group on Atrial Fibrillation Management
Chinese PLA General Hospital · CNUniversity of Birmingham · GBUniversity of Jaffna · LKUniversidade de São Paulo · BRUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying existing care pathways is the first step for understanding how services can be improved to enable early diagnosis and effective follow-up care for non-communicable diseases (NCDs); however, evidence on how care pathways can and should be identified in low- and middle-income countries (LMICs) is lacking.

objectiveTo describe generalisability and lessons learned from recruitment and data collection for the quantitative component of a mixed methods study designed to determine the care pathway for atrial fibrillation (AF) in Brazil, China and Sri Lanka.

methodsAdults (≥18 years) that spoke the local language and with an AF diagnosis were eligible. We excluded anyone with a hearing or cognitive impairment or ineligible address. Eligible participants were identified using electronic records in Brazil and China; in Sri Lanka, researchers attended the outpatient clinics to identify eligible participants. Data were collected using two quantitative questionnaires administered at least 2-months apart. A minimum sample size of 238 was required for each country.

resultsThe required sample size was met in Brazil (

conclusionsGeneralisability was an issue in Brazil and China, as was selection bias. Recruitment bias was highlighted in Sri Lanka. Additional or alternative recruitment methods may be required to ensure generalisability and reduce bias in future studies aimed at identifying NCD care pathways in LMICs.

Indexed as

Atrial FibrillationDeveloping CountriesAdultCritical PathwaysFemaleHumansSri LankaSurveys and QuestionnairesBrazilcascade of careChinacontinuity of careEarly diagnosismixed-methodspathways of careSri Lanka

Identifiers

PMID37466418
PMCPMC10360996
OpenAlexW4384663457

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.