Older adults’ experiences of health seeking in rural areas in low- and middle-income countries: a systematic review of qualitative studies
Bibliographic record
Abstract
The global aged population is expected to reach 2.1 billion by 2050 and ∼40% of them will live in rural areas of low- and middle-income countries (LMICs). This systematic review aims to synthesize the qualitative literature on rural older adults' experiences of health-seeking in LMICs as well as explore the factors that influence their experiences during their health-seeking journeys. We searched Embase, MEDLINE, PsycINFO, and CINAHL to identify studies published from 1 January 2002 to 31 December 2024 (PROSPERO registration ID: Blinded For Review). We used a thematic synthesis approach to analyse included studies. Among the 19 studies with 28 articles and 484 participants included, 16 were rated as high quality, 9 as moderate quality, and 3 as weak quality. We identified four primary analytic domains associated with their experiences in health-seeking journeys: (i) individual-depicting the inner world of rural older adults; (ii) interpersonal-navigating the rural social network; (iii) organizational-navigating the rural health care systems, and; (iv) community and macrosystems-economy, society, and public policy in rural areas. Rural older adults in LMICs have experienced unique and multi-level challenges in seeking care. To overcome these challenges, rural older adults demonstrated resilience and creativity (e.g. utilizing informal institutions), to navigate their health-seeking journey. Future research should aim to better understand the resilience and agency in local older adults' health-seeking experiences and provide constructive solutions to overcome identified barriers to care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".