Characteristics of Seven Districts Sample Clauses

Characteristics of Seven Districts. Evaluated for IFA Supply District A District B District C District D District F District G District H IFA Availability (preliminary qual. data)a 0.38 0 0.7 0.5 0.8 0.67 0.67 a Score was calculated based on observed availability during preliminary visits at district, block, sub-center, and village levels During our visits to the district, block, sub-center, and village levels of healthcare service, we were able to ask about and observe whether IFA was available at these facilities. A scoring system was used to summarize what we observed at each location visited in these districts. We created 0 xxxxxx (xxxxxxxx, xxxxx, sub-center, ASHA, AWW, and PW). A point was given if sources at this level had IFA. This was verified through observation or by record (e.g. a point was given if the stock register showed IFA in stock or if IFA was observed during the interview.) Half a point was awarded if the respondent claimed there was IFA though this was not confirmed by registers or observation. For pregnant women, half a point was awarded for women who had IFA but who had been introduced to us by a frontline healthcare worker, as this introduces significant bias that the worker might lead us to a woman who presents a “best case scenario.” This was not a representative sample of the population; however, it did provide us with a summary of how much IFA was available at the different districts (Table 3.1). The 2 districts that had top “scores” in IFA availability were selected after exclusions were made due to lack of cooperation from health officials and large urban populations. The selected districts offered benefits for this qualitative research as well. The districts were varying distances from the capital city of Patna. In addition, there were differences in resource availability and career prestige for healthcare officials in one district versus the other which allowed us to explore potential variation in their perceptions and work habits, which could also affect IFA distribution (conversations with CARE personnel). Our objective was to examine individual and facility-level determinants of IFA receipt and consumption among pregnant women in rural Bihar.
Sample 1
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