The role of social geography on Lady Health Workers' mobility and effectiveness in Pakistan
Bibliographic record
Abstract
The Pakistan Lady Health Worker (LHW) program provides door-step reproductive health services in a context where patriarchal norms of seclusion constrain women's access to health care facilities. The program has not achieved optimal functioning, particularly in relation to raising levels of contraceptive use. One reason may be that the LHWs face the same mobility constraints that necessitated their appointment. Past research has documented the influence of gendered norms and extended family (biradari) relationships on rural women's mobility patterns. This study explores whether and how these socio-cultural factors also impact LHWs' home-visit rates. A mixed-method study was conducted across 21 villages in one district of Punjab in 2009-2010. Social mapping exercises with 21 LHWs were used to identify and survey 803 women of reproductive age. The survey data and maps were linked to visually delineate the LHWs' visitation patterns. In-depth interviews were conducted with 21 LHWs and 27 community members. Members of a LHW's biradari had two times higher odds of reporting a visit by their LHW and were twice as likely to be satisfied with their supply of contraceptives. Qualitative data showed that LHWs mobility led to a loss of status of women performing this role. Movement into space occupied by unrelated males was particularly shameful. Caste-based village hierarchies further discouraged visits beyond biradari boundaries. In response to these normative proscriptions, LHWs adopted strategies to reduce the amount of home visiting undertaken and to avoid visits to non-biradari homes. The findings suggest that LHW performance is constrained by both gender and biradari/caste-based hierarchies. Further, since LHWs tended to be poor and low caste, and at the same time preferentially visited co-members of their extended family who are likely to share similar socioeconomic circumstances, the program may be differentially providing health care services to poorer households, albeit through an unintended route.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".