Associations, Opensecrets.org, and DIRLINE was supplemented by data provided by internal experts. After applying inclusion and exclusion criteria, the research team arrived at a final list of 98 organizations with documented policy recommendations. 2. The sources of documented policy recommendations included publicly available documents included in downloadable files, webpages, and other written statements made by the organizations. Saved files were classified by organization and received a document number. A total of more than 400 documents were placed in a data repository and profiled with basic descriptive statistics. 3. Policy recommendations were extracted from documents by coders and entered individually into Excel spreadsheets, which were later exported into IBM SPSS 21 for statistical analysis. To be included, policy recommendations had to be actionable, relevant to an older adult population, and health-related. This yielded more than 600 recommendations that were sorted into different policy categories and subcategories by three independent coders. Recommendations were then matched with studies identified in the scoping study. Developing Policy Categories Because most biomedical and health services studies are not typically conducted with the policy process in mind, it was necessary to develop broad policy categories in order to sort and match research studies and policy positions. By developing a method to assign biomedical articles and policy recommendations to the same categories of health policy, it is possible to identify areas where policy demand is high and the evidence base is broad. For this study, broadly applicable categories were developed as follows: 1. Researchers used existing research literature to identify 42 potential major topic categories. 2. An expert panel of 3 researchers then iteratively condensed this list of categories to 10 major topics. 3. Within each of the 10 major topics, this procedure was repeated to generate 75 subcategories, which are presented as focus areas in the analysis. 4. On the basis of the scoping study and policy scan the research team developed the set of focus areas detailed in Appendix B. Addressing the Health Needs of an Aging America | 34 Addressing the Health Needs of an Aging America | 35 Section 1. Health Information Technology Description: Information technology is taking on a larger role in healthcare both in healthcare facilities and in the homes or patients and caregivers. Policies around HIT include funding for IT capital investment, such as the HITECH Act, reimbursement for services via telehealth by government payers, and inclusion of IT strategy, particularly EHRs, within demonstration programs, such as the Patient Centered Medical Home (PCMH). Decision support • American Hospital Association: AHA must advocate for a significant national investment in developing methods to quickly and effectively translate standards and guidelines and changes as they emerge into the decision support tools embedded in the electronic health record (EHR). • J. Avery, S. Rodgers, J. A. Cantrill, et al. (2012). A pharmacist-led information technology intervention for medication errors (PINCER): a multicentre, cluster randomised, controlled trial and cost-effectiveness analysis. Lancet, 379(9823), 1310-9 • B. Clyne, M. C. Bradley, C. Hughes, et al. (2012). Electronic prescribing and other forms of technology to reduce inappropriate medication use and polypharmacy in older people: a review of current evidence. Clinics in geriatric medicine, 28(2), 301-22 • M. N. Walsh, N. M. Albert, A. B. Curtis, et al. (2012). Lack of association between electronic health record systems and improvement in use of evidence-based heart failure therapies in outpatient cardiology practices. Clinical cardiology, 35(3), 187-96 • J. Kryworuchko, E. Hill, M. A. Murray, et al. (2013). Interventions for shared decisionmaking about life support in the intensive care unit: a systematic review. Worldviews on evidence-based nursing / Sigma Theta Tau International, Honor Society of Nursing, 10(1), 3-16 Electronic health records Development incentives for post-acute settings • Association of Jewish Aging Services of North America (AJAS): FMAP provisions