Utilization of primary health care services among Syrian refugee and Lebanese women targeted by the ICRC program in Lebanon: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: The Syrian crisis has put tremendous strain on the Lebanese health system, particularly in the historically underserved border region. The ICRC Primary Health Care program has focused on refugee and host communities in these areas. This study objectives were: 1) to determine whether the ICRC program was reaching the most vulnerable populations; 2) to understand the key perceived health needs in the catchment areas of the ICRC supported facilities; and 3) to identify barriers to utilization of health care services. METHODS: Between July and September 2017 we conducted two cross-sectional studies - one randomized household survey and one clinic-based - in the catchment areas of three ICRC-supported facilities, targeting women of reproductive age and caretakers of children under five. Differences between groups were analysed with t-test or chi-squared test. RESULTS: In the household survey, similar socio-demographic profiles were observed between Syrian refugee women and vulnerable Lebanese hosts. With regard to the study objectives:The most vulnerable populations were those seen in the ICRC-supported facilities.For both populations, the most common reasons for seeking care were non-communicable diseases (40.6%) and sexual and reproductive health issues (28.6%). Yet the people reaching the ICRC supported facilities were more likely to seek care for communicable diseases affecting their children (37.8%), rather than for the most common reasons expressed in the household survey.In the catchment areas, reported gaps included low immunization coverage and low levels of antenatal care and family planning both for Syrian and Lebanese. Dental care also emerged as an issue. Out of pocket expenditures was reported as a critical barrier for utilization of primary health care services for both populations, while the most important barrier for utilization of ICRC-supported services was lack of awareness. CONCLUSIONS: Despite the ICRC reaching the most vulnerable Syrian and Lebanese communities, the population-based survey revealed that important gaps exist in terms of utilization of health care services among women of reproductive age and their children. A stronger outreach component is needed to address lack of awareness. Innovative solutions are also needed to address cost barriers at the levels of both facility and individual user.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".