Understanding women’s, caregivers’, and providers’ experiences with home-based records: A systematic review of qualitative studies
Bibliographic record
Abstract
Mothers, caregivers, and healthcare providers in 163 countries have used paper and electronic home-based records (HBRs) to facilitate primary care visit. These standardized records have the potential to empower women, improve the quality of care for mothers and children and reduce health inequities. This review examines experiences of women, caregivers and providers with home-based records for maternal and child health and seeks to explore the feasibility, acceptability, affordability and equity of these interventions. We systematically searched MEDLINE, MEDLINE In-Process, MEDLINE Ahead of Print, Embase, CINAHL, ERIC, and PsycINFO for articles that were published between January 1992 and December 2017. We used the CASP checklist to assess study quality, a framework analysis to support synthesis, and GRADE-CERQual to assess the confidence in the key findings. Of 7,904 citations, 19 studies met our inclusion criteria. In these studies, mothers, caregivers and children shared HBR experiences in relation to maternal and child health which facilitated the monitoring of immunisations and child growth and development. Participants' reports of HBRs acting as a point of commonality between patient and provider offer an explanation for their perceptions of improved communication and patient-centered care, and enhanced engagement and empowerment during pregnancy and childcare. Healthcare providers and nurses reported that the home-based record increased their feeling of connection with their patients. Although there were concerns around electronic records and confidentiality, there were no specific concerns reported for paper records. Mothers and other caregivers see home based records as having a pivotal role in facilitating primary care visits and enhancing healthcare for their families. The records' potential could be limited by users concerns over confidentiality of electronic home-based records, or shortcomings in their design. Health systems should seize the opportunity HBRs provide in empowering women, especially in the contexts of lower literacy levels and weak health care delivery systems.
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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 | 0.059 | 0.118 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.013 | 0.018 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".