Discharge planning from urban psychiatric facilities to rural communities using telehealth

Coordinating care is of particular concern in Alaska due to expansive geography, difficulty of travel, and often limited behavioral health care resources. This study explored how individual, organizational, and systemic factors influence clinicians' use of video teleconferencing to conduct "live" discharge plans from urban psychiatric facilities to rural communities. Semi-structured key informant interviews were conducted, in person and by telephone, with urban clinical staff (n = 10), urban administrative staff (n = 6), and rural outpatient staff (n = 14). Two researchers analyzed the transcribed interviews in a recursive manner using a grounded theory methodology. Participants described infrequent, but generally positive experiences with live discharge planning: connecting patients to providers, temporarily joining treatment teams, evaluating patients for appropriate placement, engaging patients in their own care, addressing medication issues, and coordinating with family and village resources. Providers recommended hiring interns or dedicated staff, installing equipment "on unit," or using wireless tablets. Rural participants ascribed a greater value to emergency psychiatric consultations at admissions than coordination at discharge. Continued selective use of live discharge plans is indicated with patient length of stay being an important consideration in determining feasibility. Future implementation should involve dedicated resources and use video teleconferencing to formally enhance other transitional services. Once issues of organizational readiness are addressed, a Knowledge-Attitudes-Behavior framework may be useful for managing providers' underuse. Future research could evaluate rural, village-based intensive case management supported by consultation with the psychiatric hospital via video teleconferencing

Focus Groups to Increase the Cultural Acceptability of a Contingency Management Intervention for American Indian and Alaska Native Communities

Introduction Many American Indian and Alaska Native (AI/AN) people seek evidence-based, cost-effective, and culturally acceptable solutions for treating alcohol use disorders. Contingency management (CM) is a feasible, low-cost approach to treating alcohol use disorders that uses “reinforcers” to promote and support alcohol abstinence. CM has not been evaluated among AI/AN communities. This study explored the cultural acceptability of CM and adapted it for use in diverse AI/AN communities. Methods We conducted a total of nine focus groups in three AI/AN communities: a rural reservation, an urban health clinic, and a large Alaska Native healthcare system. Respondents included adults in recovery, adults with current drinking problems, service providers, and other interested community members (n = 61). Focus group questions centered on the cultural appropriateness of “reinforcers” used to incentivize abstinence and the cultural acceptability of the intervention. Focus groups were audio-recorded, transcribed, and coded independently by two study team members using both a priori and emergent codes. We then analyzed coded data. Results Across all three locations, focus group participants described the importance of providing both culturally specific (e.g., bead work and cultural art work supplies), as well as practical (e.g., gas cards and bus passes) reinforcers. Focus group participants underscored the importance of providing reinforcers for the children and family of intervention participants to assist with reengaging with family and rebuilding trust that may have been damaged during alcohol use. Respondents indicated that they believed CM was in alignment with AI/AN cultural values. There was consensus that Elders or a well-respected community member implementing this intervention would enhance participation. Focus group participants emphasized use of the local AI/AN language, in addition to the inclusion of appropriate cultural symbols and imagery in the delivery of the intervention. Conclusions A CM intervention for alcohol use disorders should be in alignment with existing cultural and community practices such as alcohol abstinence, is more likely to be successful when Elders and community leaders are champions of the intervention, the intervention is compatible with counseling or treatment methodologies, and the intervention provides rewards that are both culturally specific and practical

Views on electronic cigarette use in tobacco screening and cessation in an Alaska Native healthcare setting

Background: American Indian (AI) and Alaska Native (AN) communities confront some of the highest rates of tobacco use and its sequelae. Methods: This formative research project sought to identify the perspectives of 41 stakeholders (community members receiving care within the healthcare system, primary care providers, and tribal healthcare system leaders) surrounding the use of pharmacogenetics toward tobacco cessation treatment in the setting of an AI/AN owned and operated health system in south central Alaska. Results: Interviews were held with 20 adult AI/AN current and former tobacco users, 12 healthcare providers, and 9 tribal leaders. An emergent theme from data analysis was that current tobacco screening and cessation efforts lack information on electronic cigarette (e-cigarette) use. Perceptions of the use of e-cigarettes role in tobacco cessation varied. Conclusion: Preventive screening for tobacco use and clinical cessation counseling should address e-cigarette use. Healthcare provider tobacco cessation messaging should similarly address e-cigarettes

Patterns of Healthcare Use and Mortality After Alzheimer's Disease or Related Dementia Diagnosis Among Alaska Native Patients: Results of a Cluster Analysis in a Tribal Healthcare Setting

Background: Alaska Native and American Indian (AN/AI) people represent a rapidly aging population with disproportionate burdens of Alzheimer's disease and related dementias (ADRD) risk factors. Objective: To characterize healthcare service use patterns and mortality in the years following ADRD diagnosis for patients in an Alaska Native Tribal health system. Methods: The study sample included all AN/AI patients aged 55 or older with an ADRD diagnosis who were seen between 2012-2018 (n = 407). We used cluster analysis to identify distinct patterns of healthcare use for primary care, emergency and urgent care, inpatient hospital stays, and selected specialty care. We compared demographic and clinical factors between clusters and used regression to compare mortality. Results: We identified five clusters of healthcare service use patterns after ADRD diagnosis: 1) people who use a low amount of all services (n = 107), 2) people who use a high amount of all services (n = 60), 3) people who use a high amount of primary and specialty care (n = 105), 4) people who use a high amount of specialty care (n = 65), and 5) people who use a high amount of emergency and urgent care (n = 70). The cluster with the highest use had the greatest proportion of comorbidities and had a 2.3-fold increased risk of mortality compared to the cluster with the lowest healthcare service use. Conclusion: Results indicate that those receiving the most services had the greatest healthcare-related needs and increased mortality. Future research could isolate factors that predict service use following ADRD diagnosis and identify other differential health risks

Formative evaluation to assess communication technology access and health communication preferences of Alaska Native people

Objective:Information technology can improve the quality, safety, and efficiency of healthcare delivery by improving provider and patient access to health information. We conducted a nonrandomized, cross-sectional, self-report survey to determine whether Alaska Native and American Indian (AN/AI) people have access to the health communication technologies available through a patient-centered medical home. Methods: In 2011, we administered a self-report survey in an urban, tribally owned and operated primary care center serving AN/AI adults. Patients in the center’s waiting rooms completed the survey on paper; center staff completed it electronically. Results: Approximately 98% (n = 654) of respondents reported computer access, 97% (n = 650) email access, and 94% (n = 631) mobile phone use. Among mobile phone users, 60% had Internet access through their phones. Rates of computer access (p = .011) and email use (p = .005) were higher among women than men, but we found no significant gender difference in mobile phone access to the Internet or text messaging. Respondents in the oldest age category (65–80 years of age) were significantly less likely to anticipate using the Internet to schedule appointments, refill medications, or communicate with their health care providers (all p < .001). Conclusion:Information on use of health communication technologies enables administrators to deploy these technologies more efficiently to address health concerns in AN/AI communities. Our results will drive future research on health communication for chronic disease screening and health management.

Assessing the Predictive Validity of the Stages of Change Re... : Journal of Addiction Medicine

Objectives: The objective of this study was to examine the predictive validity of the Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES) among Alaska Native and American Indian (ANAI) people with an alcohol use disorder. Methods: The sample was 170 ANAI adults with an alcohol use disorder living in Anchorage, Alaska who were part of a larger alcohol intervention study. The primary outcome of this study was alcohol use as measured by mean urinary ethyl glucuronide (EtG). EtG urine tests were collected at baseline and then up to twice a week for four weeks. We conducted bivariate linear regression analyses to evaluate associations between mean EtG value and each of the three SOCRATES subscales (Recognition, Ambivalence, and Taking Steps) and other covariates such as demographic characteristics, alcohol use history, and chemical dependency service utilization. We then performed multivariable linear regression modeling to examine these associations after adjusting for covariates. Results: After adjusting for covariates, mean EtG values were negatively associated with the Taking Steps (P¼0.017) and Recognition (P¼0.005) subscales of the SOCRATES among ANAI people living in Alaska. We did not find an association between mean EtG values and the Ambivalence subscale (P¼0.129) of the SOCRATES after adjusting for covariates. Conclusions: Higher scores on the Taking Steps and Recognition subscales of the SOCRATES at baseline among ANAI people predicted lower mean EtG values. This study has important implications for communities and clinicians who need tools to assist ANAI clients in initiating behavior changes related to alcohol use