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The article presents a study on the feasibility, acceptability and usability of ID-Cap, a novel digital pill system, among people living with dementia and their caregivers. Topics discussed include the functions of ID-Cap, the methods used in the study, and usability factors that could facilitate uptake.

This study's objective was to determine how frontline physicians perceived telehealth for older adults with sensory impairments, cognitive impairments, mobility challenges, or those receiving end-of-life care. We conducted a multiple-methods study of US emergency, geriatric, and primary care physicians. Phase 1 involved semi-structured interviews with 48 physicians on their experiences using telehealth with older adults. In phase 2, we used those qualitative findings to generate a web-based survey administered to 74 physicians. In phase 3, we reintegrated qualitative data to enrich survey results. We identified 3 key findings: (1) 50% of emergency physicians, 33% of geriatricians, and 18% of primary care physicians considered telehealth to be a poor substitute for providing end-of-life care (p =.68); (2) for hearing, vision, and cognitive impairments, 61%, 58%, and 54%, respectively, saw telehealth as a good or fair substitute for providing care (p =.14); and (3) 98% indicated that telehealth was a good or fair substitute for in-person care for those with mobility impairment (p <.001). Preferences and comfort using telehealth with older adults vary by clinical context, patient population, and physician specialty, requiring tailored adaptations. [ABSTRACT FROM AUTHOR]

Background: Over one‐half of older adults are discharged to the community after emergency department (ED) visits, and studies have shown there is increased risk of adverse health outcomes in the immediate post‐discharge period. Understanding the experiences of older adults during ED‐to‐community care transitions has the potential to improve geriatric emergency clinical care and inform intervention development. We therefore sought to assess barriers experienced by older adults during ED‐to‐community care transitions. Methods: We conducted a qualitative analysis of community‐dwelling cognitively intact patients aged 65 years and older receiving care in four diverse EDs from a single U.S. healthcare system. We constructed a conceptual framework a priori to guide the development and iterative revision of a codebook, used purposive sampling, and conducted recorded, semi‐structured interviews using a standardized guide. Two researchers coded the professionally transcribed data using a combined deductive and inductive approach and analyzed transcripts to identify dominant themes and representative quotations. Results: Among 25 participants, 20 (80%) were women and 17 (68%) were white. We identified four barriers during the ED‐to‐community care transition: (1) ED discharge process was abrupt with missing information regarding symptom explanation and performed testing, (2) navigating follow‐up outpatient clinical care was challenging, (3) new physical limitations and fears hinder performance of baseline activities, and (4) major and minor ramifications for caregivers impact an older adult's willingness to request or accept assistance. Conclusions: Older adults identified barriers to successful ED‐to‐community care transitions that can inform the development of novel and effective interventions. [ABSTRACT FROM AUTHOR]

INTRODUCTION: After emergency department (ED) discharge, persons living with cognitive impairment (PLWCI) and their care partners are particularly at risk for adverse outcomes. We sought to identify the barriers experienced by care partners of PLWCI during ED discharge care transitions. METHODS:We conducted a qualitative study of 25 care partners of PLWCIdischarged from four EDs. We used the validated 4AT and care partner-completed AD8 screening tools, respectively, to exclude care partners of older adults with concern for delirium and include care partners of older adults with cognitive impairment. We conducted recorded, semi-structured interviews using a standardized guide, and two team members coded and analyzed all professional transcriptions to identify emerging themes and representative quotations. Results: Care partners' mean age was 56.7 years, 80% were female, and 24% identified as African American. We identified four major barriers regarding ED discharge care transitions among care partners of PLWCI: (1) unique care considerations while in the ED setting impact the perceived success of the care transition, (2) poor communication and lack of care partner engagement was a commonplace during the ED discharge process, (3) care partners experienced challenges and additional responsibilities when aiding during acute illness and recovery phases, and (4) navigating the health care system after an ED encounter was perceived as difficult by care partners. Discussion: Our findings demonstrate critical barriers faced during ED discharge care transitions among care partners of PLWCI. Findings from this work may inform the development of novel care partner-reported outcome measures as well as ED discharge care transition interventions targeting care partners. [ABSTRACT FROM AUTHOR]

Background: There is increasing interest in using verbal autopsy to produce nationally representative populationlevel estimates of causes of death. However, the burden of processing a large quantity of surveys collected with paper and pencil has been a barrier to scaling up verbal autopsy surveillance. Direct electronic data capture has been used in other large-scale surveys and can be used in verbal autopsy as well, to reduce time and cost of going from collected data to actionable information. Methods: We collected verbal autopsy interviews using paper and pencil and using electronic tablets at two sites, and measured the cost and time required to process the surveys for analysis. From these cost and time data, we extrapolated costs associated with conducting large-scale surveillance with verbal autopsy. Results: We found that the median time between data collection and data entry for surveys collected on paper and pencil was approximately 3 months. For surveys collected on electronic tablets, this was less than 2 days. For small-scale surveys, we found that the upfront costs of purchasing electronic tablets was the primary cost and resulted in a higher total cost. For large-scale surveys, the costs associated with data entry exceeded the cost of the tablets, so electronic data capture provides both a quicker and cheaper method of data collection. Conclusions: As countries increase verbal autopsy surveillance, it is important to consider the best way to design sustainable systems for data collection. Electronic data capture has the potential to greatly reduce the time and costs associated with data collection. For long-term, large-scale surveillance required by national vital statistical systems, electronic data capture reduces costs and allows data to be available sooner. [ABSTRACT FROM AUTHOR]

Background: More countries are using verbal autopsy as a part of routine mortality surveillance. The length of time required to complete a verbal autopsy interview is a key logistical consideration for planning large-scale surveillance. Methods: We use the PHMRC shortened questionnaire to conduct verbal autopsy interviews at three sites and collect data on the length of time required to complete the interview. This instrument uses a novel checklist of keywords to capture relevant information from the open response. The open response section is timed separately from the section consisting of closed questions. Results: We found the median time to complete the entire interview was approximately 25 minutes and did not vary substantially by age-specific module. The median time for the open response section was approximately 4 minutes and 60% of interviewees mentioned at least one keyword within the open response section. Conclusions: The length of time required to complete the interview was short enough for large-scale routine use. The open-response section did not add a substantial amount of time and provided useful information which can be used to increase the accuracy of the predictions of the cause of death. The novel checklist approach further reduces the burden of transcribing and translating a large amount of free text. This makes the PHMRC instrument ideal for national mortality surveillance. [ABSTRACT FROM AUTHOR]

Traditionally, verbal autopsies (VA) are collected on paper-based questionnaires and reviewed by physicians for cause of death assignment, it is resource intensive and time consuming. The Population Health Metrics Research Consortium VA questionnaires was made available on an Android-based application and cause of death was derived using the Tariff method. Over one year, all adult deaths occurring in 48 villages in 4 counties were identified and a VA interview was conducted using the smartphone VA application. A total of 507 adult deaths were recorded and VA interviews were conducted. Cardiovascular disease was the leading cause of death (35.3%) followed by injury (14.6%) and neoplasms (13.5%). The total cost of the pilot study was USD28 835 (USD0.42 per capita). The interviewers found use of smartphones to conduct interviews to be easier. The study showed that using a smartphone application for VA interviews was feasible for implementation in rural China. [ABSTRACT FROM AUTHOR]

Background: Verbal autopsy is gaining increasing acceptance as a method for determining the underlying cause of death when the cause of death given on death certificates is unavailable or unreliable, and there are now a number of alternative approaches for mapping from verbal autopsy interviews to the underlying cause of death. For public health applications, the population-level aggregates of the underlying causes are of primary interest, expressed as the cause-specific mortality fractions (CSMFs) for a mutually exclusive, collectively exhaustive cause list. Until now, CSMF Accuracy is the primary metric that has been used for measuring the quality of CSMF estimation methods. Although it allows for relative comparisons of alternative methods, CSMF Accuracy provides misleading numbers in absolute terms, because even random allocation of underlying causes yields relatively high CSMF accuracy. Therefore, the objective of this study was to develop and test a measure of CSMF that corrects this problem. Methods: We developed a baseline approach of random allocation and measured its performance analytically and through Monte Carlo simulation. We used this to develop a new metric of population-level estimation accuracy, the Chance Corrected CSMF Accuracy (CCCSMF Accuracy), which has value near zero for random guessing, and negative quality values for estimation methods that are worse than random at the population level. Results: The CCCSMF Accuracy formula was found to be CCSMF Accuracy = (CSMF Accuracy - 0.632) / (1 - 0.632), which indicates that, at the population-level, some existing and commonly used VA methods perform worse than random guessing. Conclusions: CCCSMF Accuracy should be used instead of CSMF Accuracy when assessing VA estimation methods because it provides a more easily interpreted measure of the quality of population-level estimates. [ABSTRACT FROM AUTHOR]