Evidence map›Paper›PMID 40162186›Full record

ArticleWellcome open research2025

Enhanced patient counselling and SMS reminder messages to improve access to community-based eye care services in Meru, Kenya: statistical analysis plan for a Bayesian adaptive trial.

Min Jung Kim, Luke Allen, Malebogo Tlhajoane, David Prieto-Merino, Nigel Bolster, Andrew Bastawrous, David Macleod

Abstract read
In one paragraph

Article in Wellcome open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Min Jung KimFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-3561-9308
Luke AllenFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-2750-3575
Malebogo TlhajoaneFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
David Prieto-MerinoFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0001-5001-0061
Nigel BolsterPeek Vision, London, UK.
Andrew BastawrousInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, UK.
David MacleodFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-2371-5709

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Health service programmes frequently encounter challenges with patient adherence to care. A promising, low-risk approach to address this issue is providing patients with targeted information about the importance of adherence. In the Vision Impact Project (VIP), an eye health screening programme in Kenya, the adherence rate to attending triage clinics after referral is around 50%. To improve this rate, this trial will test the effectiveness of delivering relevant information to patients at the point of referral along with reminder messages. Methods: A pragmatic, Bayesian adaptive trial will be conducted within the VIP programme to assess the effectiveness of providing enhanced information compared to standard care. Weekly interim analyses will monitor adherence rates to referral appointments following positive vision impairment screenings. Participants will be randomized equally into intervention and control groups. The trial will stop if interim findings indicate either efficacy of one arm over the other, or futility that the two arms are performing equally. Discussion: This paper presents the statistical analysis plan for a pragmatic adaptive trial aimed at improving adherence in an eye screening programme in Kenya. This statistical analysis plan expands on the design and analysis plan detailed in the study protocol and documents decision rules to avoid post hoc decision-making. Trial registration: ISRCTN 11329596, Registered on 02 February 2024, https://doi.org/10.1186/ISRCTN11329596.

Indexed as

Adaptive trialBayesian trialhealth services researchinterim analysisstatistical analysis planstopping rules

Identifiers

PMID40162186
PMCPMC11955077

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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.