Evidence map›Paper›PMID 42553601›Full record

ArticleFrontiers in rehabilitation sciences2026

Functional Needs Assessment Tool for estimating population-level functional difficulties and the need for services and assistive products: pilot testing in Western Uganda.

Dorothy Boggs, Annet Birabwa, Suzanne Adkins, Oluwarantimi Atijosan-Ayodele, Sahan Bulathwela, Catherine de Cates, Thomas Doggett, Allen Foster, Hannah Kuper, Cathy Holloway and 3 more

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Dorothy BoggsInternational Centre for Evidence in Disability, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Annet BirabwaMedical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
Suzanne AdkinsInternational Centre for Evidence in Disability, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Oluwarantimi Atijosan-AyodeleKing's College Hospital NHS Foundation Trust, London, United Kingdom.
Sahan BulathwelaDepartment of Computer Science, Global Disability Innovation Hub, University College London, London, United Kingdom.
Catherine de CatesDepartment of Otolaryngology, Lister Hospital, East and North Hertfordshire NHS Trust, Stevenage, United Kingdom.
Thomas DoggettInternational Centre for Evidence in Disability, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Allen FosterInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Hannah KuperInternational Centre for Evidence in Disability, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Cathy HollowayDepartment of Computer Science, Global Disability Innovation Hub, University College London, London, United Kingdom.
Joseph Mugisha Okello *Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
Sarah Polack *International Centre for Evidence in Disability, London School of Hygiene & Tropical Medicine, London, United Kingdom.
FNAT team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reliable data on population-level need for rehabilitation services and assistive products (AP) across different settings are lacking. The Functional Needs Assessment Tool (FNAT) is a new survey method for estimating the prevalence of functional difficulties/impairment and the need for services and AP. It combines self-report, clinical impairment and functional assessments across seven domains: vision, hearing, mobility, communication, cognition, self-care, and mental health. Data are collected using a bespoke mobile application and web-based platform. The FNAT methodology is presented in the first paper in this series. Objective: The FNAT was pilot-tested in Kalungu District, Uganda, between March and July 2023 to assess the feasibility of the methodology and the functionality of the mobile data collection application. Methods: Two pilot studies were conducted across 18 communities/villages, including 305 (pilot 1) and 550 (pilot 2) participants aged 2 years and older. Participants were identified using a two-stage cluster sampling method and underwent assessments using standardised tools to evaluate functional difficulties/impairments and the need for services and AP. Results: The pilot studies identified several key learnings, such as the need for questionnaire revisions and improvements to the application programming. It confirmed the feasibility of completing the two-stage assessments over 2 days with a cluster size of 45 participants (participants aged 2 years and older) while including visual acuity screening for all participants. Discussion: The FNAT is a feasible approach for estimating the prevalence of functional difficulties and the need for and coverage of related services and AP, with lessons learned for future development, and should be tested at scale. The field-test study is presented in the final paper in this series.

Indexed as

assistive productsfunctioningimpairmentrehabilitationscreeningservicessurveysUganda

Identifiers

PMID42553601
PMCPMC13435221

What Socratic holds

Textmetadata
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 Socratic graph.