Evidence map›Paper›PMID 35428640›Full record

ArticleBMJ open2022

Performance and resource requirements of in-person versus voice call versus automated telephone-based socioeconomic data collection modalities for community-based health programmes: a systematic review protocol.

Luke Nelson Allen, Shona Mackinnon, Iris Gordon, David Blane, Ana Patricia Marques, Stephen Gichuhi, Alice Mwangi, Matthew J Burton, Nigel Bolster, David Macleod and 3 more

Abstract 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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

13 authors.

Luke Nelson AllenDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK drlukeallen@gmail.com.ORCID 0000-0003-2750-3575
Shona MackinnonInstitute of health and wellbeing, University of Glasgow, Glasgow, UK.
Iris GordonDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK.
David BlaneInstitute of health and wellbeing, University of Glasgow, Glasgow, UK.ORCID 0000-0002-3872-3621
Ana Patricia MarquesLondon School of Hygiene and Tropical Medicine International Centre for Eye Health, London, UK.ORCID 0000-0001-8242-7021
Stephen GichuhiDepartment of Ophthalmology, University of Nairobi, Nairobi, Kenya.
Alice MwangiOperation Eyesight, Nairobi, Kenya.
Matthew J BurtonDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK.
Nigel BolsterLondon School of Hygiene and Tropical Medicine International Centre for Eye Health, London, UK.
David MacleodLondon School of Hygiene and Tropical Medicine International Centre for Eye Health, London, UK.
Min KimLondon School of Hygiene and Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK.
Jacqueline RamkeDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-5764-1306
Andrew BastawrousLondon School of Hygiene and Tropical Medicine International Centre for Eye Health, London, UK.

Funding

Department of HealthMedical Research Council MR/R010161/1Wellcome Trust
6 · The paper itself

Abstract

introductionGathering data on socioeconomic status (SES) is a prerequisite for any health programme that aims to assess and improve the equitable distribution of its outcomes. Many different modalities can be used to collect SES data, ranging from (1) face-to-face elicitation, to (2) telephone-administered questionnaires, to (3) automated text message-based systems. The relative costs and perceived benefits to patients and providers of these different data collection approaches is unknown. This protocol is for a systematic review that aims to compare the resource requirements, performance characteristics, and acceptability to participants and service providers of these three approaches to collect SES data from those enrolled in health programmes. METHODS AND ANALYSIS: An information specialist will conduct searches on the Cochrane Library, MEDLINE, Embase, Global Health, ClinicalTrials.gov, the WHO ICTRP and OpenGrey. All databases will be searched from 1999 to present with no language limits used. We will also search Google Scholar and check the reference lists of relevant articles for further potentially eligible studies. Any empirical study design will be eligible if it compares two or more modalities to elicit SES data from the following three; in-person, voice call, or automated phone-based systems. Two reviewers will independently screen titles, abstracts and full-text articles; and complete data extraction. For each study, we will extract data on the modality characteristics, primary outcomes (response rate and equivalence) and secondary outcomes (time, costs and acceptability to patients and providers). We will synthesise findings thematically without meta-analysis. ETHICS AND DISSEMINATION: Ethical approval is not required, as our review will include published and publicly accessible data. This review is part of a project to improve equitable access to eye care services in low-ioncome and middle-income countries. However, the findings will be useful to policy-makers and programme managers in a range of health settings and non-health settings. We will publish our findings in a peer-reviewed journal and develop an accessible summary of results for website posting and stakeholder meetings. PROSPERO REGISTRATION NUMBER: CRD42021251959.

Indexed as

IncomeText MessagingData CollectionDelivery of Health CareHumansSocial ClassSystematic Reviews as TopicEpidemiologyPRIMARY CAREPUBLIC HEALTH

Identifiers

PMID35428640
PMCPMC9014069

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.