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Prescription for Health was an initiative funded by the Robert Wood Johnson Foundation in collaboration with the Agency for Healthcare Research and Quality. Under this initiative, primary care practice-based research networks (PBRNs) -- groups of ambulatory practices devoted principally to the primary care of patients -- developed, tested, and evaluated innovative strategies to improve the delivery and effectiveness of health behavior change services in primary care practice. The strategies targeted four health risk behaviors: tobacco use, unhealthy diet, lack of physical activity, and risky alcohol use. Prescription for Health was conducted in two rounds. Round one awarded grants to 17 PBRNs to test the feasibility of implementing the strategies, while round two awarded grants to ten PBRNs to measure the strategies' effectiveness and the expenses associated with them. More than a 100 primary care practices from the ten PBRNs participated in the evaluation.

This data collection comprises the data from one of the data collection efforts carried out by the second round: the responses to the Practice Information Form (PIF), a Web-based instrument which captured key organizational attributes of the participating practices. The PIF data were collected at two time points. Baseline data were collected from each practice before the intervention was implemented and follow-up data were collected approximately one year after the start of the intervention.

Information about the practices collected by the PIF include practice type and ownership; characteristics of each clinician and non-clinician staff person; number of vacancies for clinicians and non clinicians; number of exam rooms and volume of office visits; average number of new patients per month; percentages of patients in various age, race, Hispanic origin, and payer categories; and the predominant type of payment arrangement with health plans. In addition, the PIF asked whether a specific health plan controlled over half of the practice's total business; whether the practice had a pay-for-performance program; whether any payers or organizations publicly reported practice level performance information, such as patient satisfaction, chronic care/disease management, and/or preventive service delivery; and whether practices had a formal process for routinely measuring satisfaction among patients, clinicians, and other staff. The PIF also investigated how practices motivated their clinicians and staff; the level of competition among practices in local markets; the use of computers, electronic medical record systems, and patient registries; major changes that affected each practice's ability to make improvements in patient care; factors that prevented practices from translating the results of research into changes in medical practice; and the use of health risk assessment protocols or questionnaires to identify patients who may benefit from counseling or interventions. Questions about the four Prescription for Health behaviors -- physical activity, healthy eating, smoking cessation, and addressing risky drinking -- asked how practices linked patients to outside resources for each of the four behaviors; how practices used evidence-based guidelines and informed patients about recommendations for the behaviors; and which approaches practices used to support patients ready to engage in a behavior change for each of the behaviors.

Placental malaria is associated with maternal illness and anemia, low birth weight, and preterm birth. Mali has one of the highest malaria case incidence rates globally, according to World Health Organization (WHO) reports on malaria. Using a rural to urban longitudinal cohort of women who initially resided on the Bandiagara Escarpment at study enrollment, this observational study addressed the following questions:

1. Was risk for placental malaria higher in Bamako (urban) or on the Bandiagara Escarpment (rural)?
2. What were the maternal risk factors for placental malaria in this cohort?
3. What was the association between number of intermittent preventative treatment in pregnancy with sulfadoxine-pyrimethamine (IPTp-SP) doses, placental malaria, and birth outcomes?
4. What factors predicted how many doses women received?

Placental samples (N = 317) and accompanying demographic data were collected from 249 women living on the Bandiagara Escarpment or in the District of Bamako during the years 2011 to 2019. Samples were evaluated by histology to assess placental malaria infection stage and parasite density. Generalized estimating equations (GEE) for logistic regression were used to model the risk factors for placental malaria infection (yes/no) and to assess the characteristics of women who had no doses or fewer doses of SP versus 3 or more doses of SP during pregnancy. Lastly, GEE was used to model birth outcomes as continuous dependent variables (birth weight, birth length, and placenta weight).