Background The United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) provides primary-health-care services to more than 5 million Palestinian refugees in five operational fields (Jordan, Syria, Lebanon, West Bank, and Gaza) through 144 health centres. UNRWA developed its electronic health records (e-Health) system to improve monitoring and facilitation of health services provided to Palestinian refugees. By the end of 2017, the system had been deployed in 129 health centres, included the health files of 3 million patients, and managed more than 8 million visits per year. We assessed whether preventive-health-care services had improved following implementation of the system. Methods This observational study used three key performance indicators to assess preventive-health-care services reported in UNRWA's annual reports in 2012-17: the percentage of targeted people aged 40 years and older screened for diabetes; the percentage of pregnant women with a livebirth who attended at least four antenatal visits; and the prevalence of growth problems (underweight, stunting, wasting, and overweight or obesity) in children younger than 5 years. Simple descriptive analysis was conducted with Microsoft Excel 2010. Ethical approval was obtained from the

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ABSTRACT. Antimicrobial resistance (AMR) is a public health emergency. There is insufficient information on AMR in the context of humanitarian settings. An understanding of behavioral and institutional-level factors can strengthen antimicrobial stewardship. This study used a semistructured questionnaire to assess both knowledge, attitudes, and practices (KAP) on antimicrobial use, resistance and stewardship, and options to improving prescribing, among prescribers at the Primary Healthcare facilities of the United Nations’ Relief and Works Agency Jordan field office. Responses to the KAP questions were evaluated using the Capability, Opportunity, Motivation, Behavior (COM-B) framework and Bloom’s cutoffs. For each framework component, Bloom’s cutoffs and interpretations were as follows: ≥ 80%, “good”; 60–79%, “moderate”; and < 60%, “poor.” Fourteen options to improve prescribing were each assessed using 5-point Likert scales from very unhelpful to very helpful, aggregated by helpful and very helpful and ranked as follows: > 90%, best/most acceptable; > 80–90%, acceptable; and 70–80% as maybe acceptable/good. The questionnaire response rate was 59% (37/63) with a completion rate of 92% (34/37). Aggregate scores for real knowledge on AMR was 97%; opportunity to improve prescribing 88%; and motivation 16%—participants did not believe that there was a connection between their prescribing and AMR or that they had a key role in helping control AMR. Good options (74% aggregate score) to improving prescribing were the availability of guidelines and resistance data. There was good knowledge of AMR and good opportunities, but poor motivation for rational prescribing or behavioral change. There is a clinical need for AMR data to promote rational antibiotic prescribing.