ArticleJournal of multidisciplinary healthcare2026
Voices from Primary Care: A Needs Assessment Among Multidisciplinary Primary-Care Teams for a Health Promotion Model-Based E-Counseling Platform to Support Fall Prevention Among Older Adults in Indonesia.
Article in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Falls are a leading cause of injury and disability among community-dwelling older adults, with a disproportionate burden in low- and middle-income countries (LMICs). In Indonesia, primary-care centres (puskesmas) and their multidisciplinary teams are the principal platform for older-adult care, yet most lack a structured fall-prevention protocol. Digital e-counseling could extend primary care, but its design in LMICs rarely begins with a bottom-up assessment of primary-care workforce needs. Purpose: To explore multidisciplinary primary-care programme holders' perspectives on fall risk, structural barriers, current digital practices, and requirements for an e-counseling platform grounded in Pender's Health Promotion Model (HPM), a framework linking perceived benefits, barriers, self-efficacy, interpersonal and situational influences, and commitment to action. Patients and Methods: A qualitative descriptive design was used. Thirteen elderly-health programme holders from all 13 puskesmas in Cimahi City, West Java (nursing, medicine, public health, midwifery, nutrition), participated in two focus group discussions (FGDs; six and seven participants, with disciplines mixed across both groups). Sessions were audio-recorded, transcribed verbatim, and analysed using Braun and Clarke's reflexive thematic analysis with deductive mapping to HPM constructs. Trustworthiness was supported by independent dual coding, member-checking, an audit trail, and reflexive memos. Results: Four themes were generated: multifactorial fall causation; structural barriers (no fall-specific protocol in any centre, workforce shortages, large catchments, limited family engagement, and mobile-data costs); an existing WhatsApp-based digital substrate; and explicit e-counseling design needs (risk screening, multimedia education, asynchronous Q&A, tiered cadre-mediated access, reminders, home-safety checklist). Findings mapped onto perceived susceptibility and severity, perceived benefits and barriers, perceived self-efficacy, interpersonal and situational influence, and commitment-to-action plan. Conclusion: Indonesian primary-care multidisciplinary teams articulate a system-level case for an HPM-based e-counseling platform that augments face-to-face care, integrates with WhatsApp, and includes cadre- and family-mediated channels, offering preliminary, context-specific insight for LMIC primary care.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.