BACKGROUND Disparities in healthcare access and delivery, caused by transportation and health workforce difficulties, negatively impact individuals living in rural areas. These challenges are especially prominent in older adults. DESIGN We systematically evaluated the feasibility, acceptability, and effectiveness in providing telemedicine (TMed), searching the English‐language literature for studies (January 2012 to July 2018) in the following databases: Medline (PubMed); Cochrane Library (Wiley); Web of Science; CINAHL; EMBASE (Ovid); and PsycINFO (EBSCO). PARTICIPANTS Older adults (mean age = 65 years or older, and none were younger than 60 years). INTERVENTIONS Interventions consisted of live, synchronous, two‐way videoconferencing communication in nonhospital settings. All medical interventions were included. MEASUREMENTS Quality assessment, using the Cochrane Collaboration's Risk‐of‐Bias Tool, was applied on all included articles, including a qualitative summary of all articles. RESULTS Of 6616 citations, we reviewed the full text of 1173 articles, excluding 1047 that did not meet criteria. Of the 17 randomized controlled trials, the United States was the country with the most trials (6 [35%]), with cohort sizes ranging from 3 to 844 (median = 35) participants. Risk of bias among included studies varied from low to high. Our qualitative analysis suggests that TMed can improve health outcomes in older adults and that it could be used in this population. CONCLUSIONS TMed is feasible and acceptable in delivering care to older adults. Research should focus on well‐designed randomized trials to overcome the high degree of bias observed in our synthesis. Clinicians should consider using TMed in routine practice to overcome barriers of distance and access to care. J Am Geriatr Soc 67:1737–1749, 2019

To assess the feasibility, acceptability, and preliminary effectiveness of a peer-delivered and technology supported integrated medical and psychiatric self-management intervention for older adults with serious mental illness. Ten older adults with serious mental illness (i.e., schizophrenia, schizoaffective disorder, bipolar disorder, or major depressive disorder) and medical comorbidity (i.e., cardiovascular disease, obesity, diabetes, chronic obstructive pulmonary disease, hypertension, and/or high cholesterol) aged 60 years and older received the PeerTECH intervention in their homes. Three certified peer specialists were trained to deliver PeerTECH. Data were collected at baseline, one-month, and three-month. The pilot study demonstrated that a three-month, peer-delivered and technology-supported integrated medical and psychiatric self-management intervention ("PeerTECH") was experienced by peer specialists and participants as feasible and acceptable. PeerTECH was associated with statistically significant improvements in psychiatric self-management. In addition, pre/post, non-statistically significant improvements were observed in self-efficacy for managing chronic health conditions, hope, quality of life, medical self-management skills, and empowerment. This pre/post pilot study demonstrated it is possible to train peers to use technology to deliver an integrated psychiatric and medical self-management intervention in a home-based setting to older adults with serious mental illness with fidelity. These findings provide preliminary evidence that a peer-delivered and technology-supported intervention designed to improve medical and psychiatric self-management is feasible, acceptable, and is potentially associated with improvements in psychiatric self-management, self-efficacy for managing chronic health conditions, hope, quality of life, medical self-management skills, and empowerment with older adults with serious mental illness and chronic health conditions.

Background Preventing falls and fall-related injuries among older adults is a public health priority. The Stopping Elderly Accidents, Deaths, and Injuries (STEADI) tool was developed to promote fall risk screening and encourage coordination between clinical and community-based fall prevention resources; however, little is known about the tool’s predictive validity or adaptability to survey data. Methods Data from five annual rounds (2011–2015) of the National Health and Aging Trends Study (NHATS), a representative cohort of adults age 65 and older in the US. Analytic sample respondents (n=7,392) were categorized at baseline as having low, moderate, or high fall risk according to the STEADI algorithm adapted for use with NHATS data. Logistic mixed-effects regression was used to estimate the association between baseline fall risk and subsequent falls and mortality. Analyses incorporated complex sampling and weighting elements to permit inferences at a national level. Results Participants classified as having moderate and high fall risk had 2.62 (95% CI: 2.29, 2.99) and 4.76 (95% CI: 3.51, 6.47) times greater odds of falling during follow-up compared to those with low risk, respectively, controlling for sociodemographic and health related risk factors for falls. High fall risk was also associated with greater likelihood of falling multiple times annually but not with greater risk of mortality. Conclusion The adapted STEADI clinical fall risk screening tool is a valid measure for predicting future fall risk using survey cohort data. Further efforts to standardize screening for fall risk and to coordinate between clinical and community-based fall prevention initiatives are warranted.

The excess risk of early mortality, medical comorbidity, early institutionalization, and high costs among older adults with serious mental illness necessitates development and dissemination of effective and sustainable integrated care models that simultaneously address mental and physical health needs. This overview highlights current, evidence-based integrated care models, which predominantly adopt the following approaches: (1) psychosocial skills training, (2) integrated illness self-management, and (3) collaborative care and behavioral health homes. Finally, innovative models that build on these approaches by incorporating novel uses of telehealth, mobile health technology and peer support, and strategies from developing economies are discussed.