Evidence map›Paper›PMID 39819935›Full record

ArticleBMJ open2025

Economic burden of musculoskeletal disorders in Tanzania: results from a community-based survey.

Manuela Deidda, Eleanor Grieve, Stefanie Krauth, Ping-Hsuan Hsieh, Nateiya Yongolo, Stefan Siebert, Jo Halliday, Sanjura Mandela Biswaro, Kajiru Kilonzo, Richard Walker and 5 more

Abstract read
In one paragraph

Article in BMJ open, 2025. 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

15 authors.

Manuela DeiddaHealth Economics and Health Technology assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, UK manuela.deidda@glasgow.ac.uk.ORCID http://orcid.org/0000-0002-0921-6970
Eleanor GrieveHealth Economics and Health Technology assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-4115-2882
Stefanie KrauthGeneral Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Ping-Hsuan HsiehSchool of Pharmacy, National Defense Medical Center, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-0430-260X
Nateiya YongoloKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Stefan SiebertSchool of Infection & Immunity, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-1802-7311
Jo HallidaySchool of Biodiversity, One Health and Veterinary Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Sanjura Mandela BiswaroKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Kajiru KilonzoKilimanjaro Christian Medical University College, Moshi, Tanzania.
Richard WalkerNewcastle University, Newcastle upon Tyne, UK.
Clive KellyNewcastle University, Newcastle upon Tyne, UK.
Elizabeth F MsokaKilimanjaro Clinical Research Institute, Moshi, Tanzania.ORCID http://orcid.org/0000-0002-2352-3520
Kiula KiulaKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Blandina MmbagaKilimanjaro Clinical Research Institute, Moshi, Tanzania.
Emma McIntoshHealth Economics and Health Technology assessment, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify, measure and value the economic burden of musculoskeletal (MSK) disorders in the Kilimanjaro region, Tanzania.

designCommunity-based cross-sectional survey (undertaken between January and September 2021).

settingHai district, Kilimanjaro, Tanzania.

participantsHouseholds resident in the Hai district.

methodsA two-stage cluster sampling was used to select a representative sample of all Hai district residents. Clinical screening tools were used to identify and measure MSK disorders through a tiered approach. An economic questionnaire measuring healthcare costs, out-of-pocket costs, absenteeism, presenteeism and work productivity loss was administered to those with likely MSK disorders and selected controls (individuals without MSK disorders, matched by age and gender). Resource use was valued using country-specific costs. Two-part model regressions were fitted. A descriptive analysis of catastrophic expenditure was also conducted.

main outcome measureHealthcare costs, productivity costs and total costs.

resultsAnnual average productivity and healthcare costs were, respectively, 3.5 and 3 times higher for those with likely MSK disorders than controls. Productivity costs of individuals with MSK disorders were Int$487 vs Int$132 in the control group (difference: Int$355, 95% CI Int$222 to Int$488). Healthcare costs in those with MSK were Int$269 vs Int$88 in the control group (difference: Int$181, 95% CI Int$34 to Int$327). The difference in terms of out-of-pocket expenses was economically substantial in magnitude, although not statistically significant.

conclusionThe evidence will be used to inform policies addressing MSK disorders, by promoting the design of interventions, service provision, health promotion and awareness activities at local, regional and national level.

Indexed as

Cost of IllnessHealth Care CostsHealth ExpendituresMusculoskeletal DiseasesAbsenteeismAdolescentAdultAgedCross-Sectional StudiesEfficiencyFemaleHumansMaleMiddle AgedPresenteeismSurveys and QuestionnairesHEALTH ECONOMICSRHEUMATOLOGYSurveys and Questionnaires

Identifiers

PMID39819935
PMCPMC11751939

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.