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Record W2575341316 · doi:10.1136/bmjinnov-2015-000102

Management challenges in mHealth: failures of a mobile community health worker surveillance programme in rural Nepal

2017· article· en· W2575341316 on OpenAlex
David J. Meyers, Malina Filkins, Alex Harsha Bangura, Ranju Sharma, Ashma Baruwal, Sami Pande, Scott Halliday, Dan Schwarz, Ryan Schwarz, Duncan Maru

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBMJ Innovations · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
FundersGrand Challenges CanadaThrasher Research Fund
KeywordsmHealthMobile phoneBusinessMobile technologyCommunity health workersHealth careProductivityProcess (computing)Public relationsKnowledge managementEconomic growthProcess managementMedicineComputer scienceMobile computingEnvironmental healthPolitical scienceTelecommunicationsHealth services

Abstract

fetched live from OpenAlex

Community health workers form the backbone of healthcare systems globally. The rapid expansion of mobile communications systems represents an opportunity to improve the productivity of community health workers in rural areas. Here, we describe a programme in rural Nepal that aimed to implement a mobile phone system for collecting health surveillance data, yet did not reach its fullest potential due to several programme management challenges during the implementation of the surveillance programme. Despite early successes with the mobile phone system itself, the programme ultimately failed due to leadership transitions, poor process design and a lack of consistent vision of how to operationalise the data. This field report provides important insights into the design, maintenance and pitfalls of similar community-based mobile health initiatives and technology innovation projects in general.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.181
GPT teacher head0.495
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it