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Record W2189728448 · doi:10.7448/ias.18.1.20311

Feasibility and acceptability of mobile phone short message service as a support for patients receiving antiretroviral therapy in rural Uganda: a cross‐sectional study

2015· article· en· W2189728448 on OpenAlexafffund
Jiho Kim, Wendy Zhang, Maureen Nyonyitono, Lillian Lourenço, Mastula Nanfuka, Stephen Okoboi, Josephine Birungi, Richard Lester, Pontiano Kaleebu, Paula Munderi, David Moore

Bibliographic record

VenueJournal of the International AIDS Society · 2015
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia HospitalAIDS Vancouver
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsMedicineMobile phoneShort Message ServiceLogistic regressionCross-sectional studyLiteracyDemographyRural areaHealth literacyFamily medicineEnvironmental healthHealth careInternal medicineTelecommunicationsPsychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Mobile phone technologies have been promoted to improve adherence to antiretroviral therapy (ART). We studied the receptiveness of patients in a rural Ugandan setting to the use of short messaging service (SMS) communication for such purposes. METHODS: We performed a cross-sectional analysis measuring mobile phone ownership and literacy amongst patients of The AIDS Support Organisation (TASO) in Jinja, Uganda. We performed bivariate and multivariate logistic regression analyses to examine associations between explanatory variables and a composite outcome of being literate and having a mobile phone. RESULTS: From June 2012 to August 2013, we enrolled 895 participants, of whom 684 (76%) were female. The median age was 44 years. A total of 576 (63%) were both literate and mobile phone users. Of these, 91% (527/ 576) responded favourably to the potential use of SMS for health communication, while only 38.9% (124/319) of others were favourable to the idea (p<0.001). A lower proportion of literate mobile phone users reported optimal adherence to ART (86.4% vs. 90.6%; p=0.007). Male participants (AOR=2.81; 95% CI 1.83-4.30), sub-optimal adherence (AOR=1.76; 95% CI 1.12-2.77), those with waged or salaried employment (AOR=2.35; 95% CI 1.23-4.49), crafts/trade work (AOR=2.38; 95% CI 1.11-5.12), or involved in petty trade (AOR=1.85; 95% CI 1.09-3.13) (in comparison to those with no income) were more likely to report mobile phone ownership and literacy. CONCLUSIONS: In a rural Ugandan setting, we found that over 60% of patients could potentially benefit from a mobile phone-based ART adherence support. However, support for such an intervention was lower for other patients.

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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.070
GPT teacher head0.448
Teacher spread0.378 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2015
Admission routes2
Has abstractyes

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