Mapping Lifestyle Interventions for Gestational Diabetes Prevention: A Scoping Review.

PURPOSE OF REVIEW: The purpose of this study was to conduct a scoping review to map intervention, sample, and physiologic measurement characteristics of lifestyle interventions for gestational diabetes mellitus (GDM) prevention. RECENT FINDINGS: A total of 19 studies met selection criteria from 405 articles screened (PubMed, Web of Science). No studies were US-based (47% multi-site), and all were delivered in clinical settings. The most targeted nutrition components were low carbohydrate intake (sugar rich foods/added sugars, low glycemic index), low fat intake (mainly low-fat meat, dairy, and saturated fat), and increased fruits and vegetables. Many studies promoted 150 min/week moderate-intensity physical activity. Only two studies provided supervised physical activity sessions. Dietitians and nurses were the most common implementers. Samples were characterized as adults with obesity (mean age 31 yr, BMI 31 kg/m2). Asian populations were predominantly studied. Four studies used theoretical frameworks (75% of which used Social Cognitive Theory). GDM diagnostic criteria set forth by the American Diabetes Association were the most widely used. Insulin sensitivity was commonly assessed via fasting indices. There was a lack of multi-disciplinary, multi-level, and theory-based lifestyle interventions for reducing GDM risk. Addressing these gaps and prioritizing high-risk populations in the US with measurement of traditional and novel biomarkers will advance the field.

Adapting a community pharmacy intervention to improve medication safety.

BACKGROUND: Community pharmacies are an ideal location to address challenges of over-the-counter medication safety, yet many successful interventions are only tested in a few pharmacies without expansion, creating unrealized opportunities to improve patient care on a larger scale. Scaling up to numerous pharmacies can be challenging because each community pharmacy has unique needs and layouts and requires individualized adaptation. OBJECTIVES: This paper reports techniques for (a) adapting a community pharmacy intervention to fit the unique physical layout and patient needs of health system pharmacy sites without increasing staff workload, (b) identifying strategies to gather feedback on adaptations from stakeholders, and (c) developing materials to share with pharmacy champions for them to independently implement and sustain the intervention in their organization. PRACTICE DESCRIPTION: The study team collaborated with Aurora Pharmacy, Inc to develop an intervention designed to increase awareness of safe over-the-counter medication use for older adults. PRACTICE INNOVATION: Senior Safe, a community pharmacy-based intervention, was designed, implemented, and tested using the Exploration, Preparation, Implementation, and Sustainment implementation framework. EVALUATION METHODS: Senior Safe was adapted through pilot testing and a randomized control trial. Feedback was collected from key stakeholders, including pharmacy staff, older adults, and a research advisory group. RESULTS: A finalized version of Senior Safe, as well as an implementation package, was provided to Aurora Pharmacy to integrate into all 63 sites. CONCLUSION: This multiphase study illustrated that refining an intervention is possible and welcomed by pharmacy staff, but it requires time, resources, and funds to create an impactful, sustainable community pharmacy intervention.

Corrected analysis of "the effects of bright light treatment on affective symptoms in people with dementia: a 24-week cluster randomized controlled trial" that accounts for clustering and nesting verifies conclusions.

In this correspondence, we explain the reasoning for invalidity of the analysis choices by Kolberg et al., and provide the results produced using correct statistical procedures for their study design. Reassuringly, we could verify the original conclusions. That is, results of the corrected statistical models are similar to the results of the original analysis. Regardless of the magnitude of difference that corrected statistical methods make, results and conclusions that are derived from invalid methods are unsubstantiated. By verifying the results, we allow the readers to be assured that the published conclusions in the study by Kolberg et al. now rest on a sound evidential basis.

Naturalistic Decision Making in Everyday Self-care Among Older Adults With Heart Failure.

BACKGROUND: Every day, older adults living with heart failure make decisions regarding their health that may ultimately affect their disease trajectory. Experts describe these decisions as instances of naturalistic decision making influenced by the surrounding social and physical environment and involving shifting goals, high stakes, and the involvement of others. OBJECTIVE: This study applied a naturalistic decision-making approach to better understand everyday decision making by older adults with heart failure. METHODS: We present a cross-sectional qualitative field research study using a naturalistic decision-making conceptual model and critical incident technique to study health-related decision making. The study recruited 24 older adults with heart failure and 14 of their accompanying support persons from an ambulatory cardiology center. Critical incident interviews were performed and qualitatively analyzed to understand in depth how individuals made everyday health-related decisions. RESULTS: White, male (66.7%), older adults' decision making accorded with a preliminary conceptual model of naturalistic decision making occurring in phases of monitoring, interpreting, and acting, both independently and in sequence, for various decisions. Analyses also uncovered that there are barriers and strategies affecting the performance of these phases, other actors can play important roles, and health decisions are made in the context of personal priorities, values, and emotions. CONCLUSIONS: Study findings lead to an expanded conceptual model of naturalistic decision making by older adults with heart failure. In turn, the model bears implications for future research and the design of interventions grounded in the realities of everyday decision making.

Human factors/ergonomics work system analysis of patient work: state of the science and future directions.

PURPOSE: To demonstrate the use and value of the Human Factors/Ergonomics-based Systems Engineering Initiative for Patient Safety (SEIPS) family of work system models for studying and improving patient work. DATA SOURCES: We conducted a review of the published empirical literature applying the SEIPS family of work system models for patient work. STUDY SELECTION: Included studies had to apply one of the SEIPS family of work system models to study patient work; be published in a peer-reviewed journal in English and include analysis of data. We identified 16 articles that met our inclusion criteria. DATA EXTRACTION: For each study, we extracted settings and situations in which models were applied; research design; study methods; model(s) used; type and number of study participants; study objective(s); whether the study included an intervention; specific aspects of the model used; knowledge generated about patient work and benefits of using the models. RESULTS OF DATA SYNTHESIS: Our analysis revealed that a majority of studies were conducted in the United States, used qualitative or mixed methods and employed a variety of data collection techniques to study adult patient populations with chronic illness and their informal caregivers and healthcare providers performing patient work in the home and clinical setting. The studies resulted in a variety of useful products, demonstrating several benefits of using the models. CONCLUSION: Our review has demonstrated the value of using the SEIPS family of work systems models to study and improve patient and family contributions to health-related work.

Impact of a pilot community pharmacy system redesign on reducing over-the-counter medication misuse in older adults.

BACKGROUND: No interventions have attempted to decrease misuse of over-the-counter (OTC) medications for adults aged 65 years or older (older adults) by addressing system barriers. An innovative structural pharmacy redesign (the Senior Section) was conceptualized to increase awareness of higher-risk OTC medications. The Senior Section contains a curated selection of OTC medications and is close to the prescription department to facilitate pharmacy staff-patient engagement to reduce misuse. OBJECTIVE: This pilot study examined the Senior Section's effectiveness at influencing OTC medication misuse in older adults. METHODS: A pretest-post-test nonequivalent groups design was used to recruit 87 older adults from 3 pharmacies. Using a hypothetical scenario, the participants selected an OTC medication that was compared with their medication list and health conditions, and their reported use was compared with the product labeling. Misuse outcomes comprised drug-drug, drug-disease, drug-age, and drug-label, with 5 subtypes. Patient characteristics were compiled into a propensity score matching logistic regression model to estimate their effects on the Senior Section's association with misuse at pre- or postimplementation. RESULTS: Patient characteristics were uniform between pre- and postimplementation, and, once entered into a propensity score matching model, drug-label misuse (exceeds daily dosage) statistically significantly lessened over time (z = -2.42, P = 0.015). In addition, the Senior Section reduced drug-label misuse (exceeds single dosage) for both the raw score model (z = -6.38, P = 0.011) and the model in which the patient characteristics propensity score was added (z = -5.82, P = 0.011). Despite these limited statistical effects, misuse was found to decrease after implementation for 7 of 11 comparisons. CONCLUSION: These nascent outcomes begin providing an evidence base to support a well-conceived, pharmacy-based OTC medication-aisle redesign for reducing older adult OTC medication misuse. The Senior Section, when broadly implemented, creates permanent structures and processes to assist older adults to access risk information when selecting safer OTC medications.

Community-Based Service Providers' Experiences With Activities for Persons With Dementia.

Persons with dementia (PWD) benefit from participating in meaningful activities. This study's objective was to learn the characteristics of successful meaningful activities from community-based service providers who work with PWD. Six group interviews were performed with 15 unique professionals from an adult day service or community-based coordinated care program. These were supplemented by 100 hr of researcher immersion through weekly volunteering. Data were analyzed by a team, using qualitative content analysis. Participants reported successful activity content incorporated personalization; continuity and incremental challenges; and social engagement. Successful delivery of activities required managing necessary resources; involving informal (family/friend) caregivers; having a backup plan; monitoring time of day and energy levels; facilitating a domino effect; and ensuring safety. Outcomes of successful activities were experiencing fulfillment and purpose; overcoming challenges; and unexpected triggers. Research and practice recommendations include testing innovative, dynamic, and technology-enabled approaches to providing such activities.

Parental Perceptions of Displayed Patient Data in a PICU: An Example of Unintentional Empowerment.

OBJECTIVES: To explore the perceptions of parents of pediatric patients in a PICU regarding real-time open electronic health record data displayed in patient rooms. DESIGN: Cross-sectional qualitative interview study. SETTING: PICU in a large Midwestern tertiary-care children's hospital. SUBJECTS: Parents of patients in a PICU (n = 33). MEASUREMENTS AND MAIN RESULTS: Qualitative data were collected through in-person semi-structured, individual, and small-group interviews. Data were collected from March 2016 to July 2016, with approval from the study hospital's institutional review board. Data were analyzed using inductive thematic analysis. Results included positive effects of accessing real-time open electronic health record data on family empowerment, situation awareness, potential error detection, understanding of medical data, and facilitating discussions during rounds. Concerns were reported regarding privacy of information as well as potential misinterpretation of displayed data. We identified several ways to improve this collaborative technology to make it more family-centered. CONCLUSIONS: This study suggests that a new health information technology system providing continuous access to open electronic health record data may be an effective way to empower and engage parents in the PICU, but potential drawbacks were also noted. The results also provide insights into the collaborative use of health information technology in the PICU setting.

Systematic review of smartphone-based passive sensing for health and wellbeing.

OBJECTIVE: To review published empirical literature on the use of smartphone-based passive sensing for health and wellbeing. MATERIAL AND METHODS: A systematic review of the English language literature was performed following PRISMA guidelines. Papers indexed in computing, technology, and medical databases were included if they were empirical, focused on health and/or wellbeing, involved the collection of data via smartphones, and described the utilized technology as passive or requiring minimal user interaction. RESULTS: Thirty-five papers were included in the review. Studies were performed around the world, with samples of up to 171 (median n = 15) representing individuals with bipolar disorder, schizophrenia, depression, older adults, and the general population. The majority of studies used the Android operating system and an array of smartphone sensors, most frequently capturing accelerometry, location, audio, and usage data. Captured data were usually sent to a remote server for processing but were shared with participants in only 40% of studies. Reported benefits of passive sensing included accurately detecting changes in status, behavior change through feedback, and increased accountability in participants. Studies reported facing technical, methodological, and privacy challenges. DISCUSSION: Studies in the nascent area of smartphone-based passive sensing for health and wellbeing demonstrate promise and invite continued research and investment. Existing studies suffer from weaknesses in research design, lack of feedback and clinical integration, and inadequate attention to privacy issues. Key recommendations relate to developing passive sensing strategies matching the problem at hand, using personalized interventions, and addressing methodological and privacy challenges. CONCLUSION: As evolving passive sensing technology presents new possibilities for health and wellbeing, additional research must address methodological, clinical integration, and privacy issues. Doing so depends on interdisciplinary collaboration between informatics and clinical experts.

Medication adherence: staying within the boundaries of safety.

An important domain of patient safety is the management of medications in home and community settings by patients and their caregiving network. This study applied human factors/ergonomics theories and methods to data about medication adherence collected from 61 patients with heart failure accompanied by 31 informal caregivers living in the US. Seventy non-adherence events were identified, described, and analysed for performance shaping factors. Half were classified as errors and half as violations. Performance shaping factors included elements of the person or team (e.g. patient limitations), task (e.g. complexity), tools and technologies (e.g. tool quality) and organisational, physical, and social context (e.g. resources, support, social influence). Study findings resulted in a dynamic systems model of medication safety applicable to patient medication adherence and the medication management process. Findings and the resulting model offer implications for future research on medication adherence, medication safety interventions, and resilience in home and community settings. Practitioner Summary: We describe situational and habitual errors and violations in medication use among older patients and their family members. Multiple factors pushed performance towards risk and harm. These factors can be the target for redesign or various forms of support, such as education, changes to the plan of care, and technology design.

The Challenges of Measuring, Improving, and Reporting Quality in Primary Care.

We propose a new set of priorities for quality management in primary care, acknowledging that payers and regulators likely will continue to insist on reporting numerical quality metrics. Primary care practices have been described as complex adaptive systems. Traditional quality improvement processes applied to linear mechanical systems, such as isolated single-disease care, are inappropriate for nonlinear, complex adaptive systems, such as primary care, because of differences in care processes, outcome goals, and the validity of summative quality scorecards. Our priorities for primary care quality management include patient-centered reporting; quality goals not based on rigid targets; metrics that capture avoidance of excessive testing or treatment; attributes of primary care associated with better outcomes and lower costs; less emphasis on patient satisfaction scores; patient-centered outcomes, such as days of avoidable disability; and peer-led qualitative reviews of patterns of care, practice infrastructure, and intrapractice relationships.

The Technology Acceptance Model for Resource-Limited Settings (TAM-RLS): A Novel Framework for Mobile Health Interventions Targeted to Low-Literacy End-Users in Resource-Limited Settings.

Although mobile health (mHealth) technologies have shown promise in improving clinical care in resource-limited settings (RLS), they are infrequently brought to scale. One limitation to the success of many mHealth interventions is inattention to end-user acceptability, which is an important predictor of technology adoption. We conducted in-depth interviews with 43 people living with HIV in rural Uganda who had participated in a clinical trial of a short messaging system (SMS)-based intervention designed to prompt return to clinic after an abnormal laboratory test. Interviews focused on established features of technology acceptance models, including perceived ease of use and perceived usefulness, and included open-ended questions to gain insight into unexplored issues related to the intervention's acceptability. We used conventional (inductive) and direct content analysis to derive categories describing use behaviors and acceptability. Interviews guided development of a proposed conceptual framework, the technology acceptance model for resource-limited settings (TAM-RLS). This framework incorporates both classic technology acceptance model categories as well as novel factors affecting use in this setting. Participants described how SMS message language, phone characteristics, and experience with similar technologies contributed to the system's ease of use. Perceived usefulness was shaped by the perception that the system led to augmented HIV care services and improved access to social support from family and colleagues. Emergent themes specifically related to mHealth acceptance among PLWH in Uganda included (1) the importance of confidentiality, disclosure, and stigma, and (2) the barriers and facilitators downstream from the intervention that impacted achievement of the system's target outcome. The TAM-RLS is a proposed model of mHealth technology acceptance based upon end-user experiences in rural Uganda. Although the proposed model requires validation, the TAM-RLS may serve as a useful tool to guide design and implementation of mHealth interventions.

Categorizing Health Outcomes and Efficacy of mHealth Apps for Persons With Cognitive Impairment: A Systematic Review.

BACKGROUND: Use of mobile health (mHealth) apps is growing at an exponential rate in the United States and around the world. Mild cognitive impairment (MCI), Alzheimer disease, and related dementias are a global health problem. Numerous mHealth interventions exist for this population, yet the effect of these interventions on health has not been systematically described. OBJECTIVE: The aim of this study is to catalog the types of health outcomes used to measure effectiveness of mHealth interventions and assess which mHealth interventions have been shown to improve the health of persons with MCI, Alzheimer disease, and dementia. METHODS: We searched 13 databases, including Ovid MEDLINE, PubMed, EMBASE, the full Cochrane Library, CINAHL, PsycINFO, Ei Compendex, IEEE Xplore, Applied Science & Technology Source, Scopus, Web of Science, ClinicalTrials.gov, and Google Scholar from inception through May 2017 for mHealth studies involving persons with cognitive impairment that were evaluated using at least one quantitative health outcome. Proceedings of the Annual ACM Conferences on Human Factors in Computing Systems, the ACM User Interface Software and Technology Symposium, and the IEEE International Symposium on Wearable Computers were searched in the ACM Digital Library from 2012 to 2016. A hand search of JMIR Publications journals was also completed in July 2017. RESULTS: After removal of duplicates, our initial search returned 3955 records. Of these articles, 24 met final inclusion criteria as studies involving mHealth interventions that measured at least one quantitative health outcome for persons with MCI, Alzheimer disease, and dementia. Common quantitative health outcomes included cognition, function, mood, and quality of life. We found that 21.2% (101/476) of the fully reviewed articles were excluded because of a lack of health outcomes. The health outcomes selected were observed to be inconsistent between studies. For those studies with quantitative health outcomes, more than half (58%) reported postintervention improvements in outcomes. CONCLUSIONS: Results showed that many mHealth app interventions targeting those with cognitive impairment lack quantitative health outcomes as a part of their evaluation process and that there is a lack of consensus as to which outcomes to use. The majority of mHealth app interventions that incorporated health outcomes into their evaluation noted improvements in the health of persons with MCI, Alzheimer disease, and dementia. However, these studies were of low quality, leading to a grade C level of evidence. Clarification of the benefits of mHealth interventions for people with cognitive impairment requires more randomized controlled trials, larger numbers of participants, and trial designs that minimize bias. TRIAL REGISTRATION: PROSPERO Registration: PROSPERO 2016:CRD42016033846; http://www.crd.york.ac.uk/PROSPERO/ display_record.asp?ID=CRD42016033846 (Archived by WebCite at http://www.webcitation.org/6sjjwnv1M).

Macroergonomic factors in the patient work system: examining the context of patients with chronic illness.

Human factors/ergonomics recognises work as embedded in and shaped by levels of social, physical and organisational context. This study investigates the contextual or macroergonomic factors present in the health-related work performed by patients. We performed a secondary content analysis of findings from three studies of the work of chronically ill patients and their informal caregivers. Our resulting consolidated macroergonomic patient work system model identified 17 factors across physical, social and organisational domains and household and community levels. These factors are illustrated with examples from the three studies and discussed as having positive, negative or varying effects on health and health behaviour. We present three brief case studies to illustrate how macroergonomic factors combine across domains and levels to shape performance in expected and unexpected ways. Findings demonstrate not only the importance of context for patients' health-related activities but also specific factors to consider in future research, design and policy efforts. Practitioner Summary: Health-related activities of patients are embedded in and shaped by levels of social, physical and organisational context. This paper combined findings from three studies to specify 17 contextual or macroergonomic factors in home- and community-based work systems of chronically ill patients. These factors have research, design and policy implications.

Nurses' perceptions, acceptance, and use of a novel in-room pediatric ICU technology: testing an expanded technology acceptance model.

BACKGROUND: The value of health information technology (IT) ultimately depends on end users accepting and appropriately using it for patient care. This study examined pediatric intensive care unit nurses' perceptions, acceptance, and use of a novel health IT, the Large Customizable Interactive Monitor. METHODS: An expanded technology acceptance model was tested by applying stepwise linear regression to data from a standardized survey of 167 nurses. RESULTS: Nurses reported low-moderate ratings of the novel IT's ease of use and low to very low ratings of usefulness, social influence, and training. Perceived ease of use, usefulness for patient/family involvement, and usefulness for care delivery were associated with system satisfaction (R2 = 70%). Perceived usefulness for care delivery and patient/family social influence were associated with intention to use the system (R2 = 65%). Satisfaction and intention were associated with actual system use (R2 = 51%). CONCLUSIONS: The findings have implications for research, design, implementation, and policies for nursing informatics, particularly novel nursing IT. Several changes are recommended to improve the design and implementation of the studied IT.

Self-care Barriers Reported by Emergency Department Patients With Acute Heart Failure: A Sociotechnical Systems-Based Approach.

STUDY OBJECTIVE: We pilot tested a sociotechnical systems-based instrument that assesses the prevalence and nature of self-care barriers among patients presenting to the emergency department (ED) with acute heart failure. METHODS: A semistructured instrument for measuring self-reported self-care barriers was developed and administered by ED clinicians and nonclinician researchers to 31 ED patients receiving a diagnosis of acute heart failure. Responses were analyzed with descriptive statistics and qualitative content analysis. Feasibility was assessed by examining participant cooperation rates, instrument completion times, item nonresponse, and data yield. RESULTS: Of 47 distinct self-care barriers assessed, a median of 15 per patient were indicated as "sometimes" or "often" present. Thirty-four specific barriers were reported by more than 25% of patients and 9 were reported by more than 50%. The sources of barriers included the person, self-care tasks, tools and technologies, and organizational, social, and physical contexts. Seven of the top 10 most prevalent barriers were related to patient characteristics; the next 3, to the organizational context (eg, life disruptions). A preliminary feasibility assessment found few item nonresponses or comprehension difficulties, good cooperation, and high data yield from both closed- and open-ended items, but also found opportunities to reduce median administration time and variability. CONCLUSION: An instrument assessing self-care barriers from multiple system sources can be feasibly implemented in the ED. Further research is required to modify the instrument for widespread use and evaluate its implementation across institutions and cultural contexts. Self-care barriers measurement can be one component of broader inquiry into the distributed health-related "work" activity of patients, caregivers, and clinicians.

Data collection challenges in community settings: insights from two field studies of patients with chronic disease.

PURPOSE: Collecting information about health and disease directly from patients can be fruitfully accomplished using contextual approaches, ones that combine more and less structured methods in home and community settings. This paper's purpose was to describe and illustrate a framework of the challenges of contextual data collection. METHODS: A framework is presented based on prior work in community-based participatory research and organizational science, comprised of ten types of challenges across four broader categories. Illustrations of challenges and suggestions for addressing them are drawn from two mixed method, contextual studies of patients with chronic disease in two regions of the USA. RESULTS: The first major category of challenges was concerned with the researcher-participant partnership, for example, the initial lack of mutual trust and understanding between researchers, patients, and family members. The second category concerned patient characteristics such as cognitive limitations and a busy personal schedule that created barriers to successful data collection. The third concerned research logistics and procedures such as recruitment, travel distances, and compensation. The fourth concerned scientific quality and interpretation, including issues of validity, reliability, and combining data from multiple sources. The two illustrative studies faced both common and diverse research challenges and used many different strategies to address them. CONCLUSION: Collecting less structured data from patients and others in the community is potentially very productive but requires the anticipation, avoidance, or negotiation of various challenges. Future work is necessary to better understand these challenges across different methods and settings, as well as to test and identify strategies to address them.

Telecaregiving for Dementia: A Mapping Review of Technological and Nontechnological Interventions.

BACKGROUND AND OBJECTIVES: Informal (or family) caregivers to older adults with Alzheimer's disease or other related dementias (ADRD) could greatly benefit from innovative telecaregiving systems that support caregiving from a distance. The objective of this review is to better understand (a) who is involved in telecaregiving and their experiences; (b) the interventions currently available to support ADRD telecaregiving; and (c) the outcomes measured to assess the effects of ADRD telecaregiving interventions. RESEARCH DESIGN AND METHODS: A mapping review was conducted by systematically searching MEDLINE, CINAHL, Embase, and PsycINFO for all works published in English from 2002 to 2022. References of included publications were searched to identify additional empirical publications for inclusion. RESULTS: Sixty-one publications (describing 48 studies and 5 nonstudy sources) were included in the review. Currently available information on the demographics, experiences, challenges, and benefits of ADRD telecaregivers is summarized. We found that interventions to support telecaregiving could be classified into 7 categories of technological interventions and 3 categories of nontechnological interventions. Empirical studies on ADRD telecaregiving interventions investigated a variety of outcomes, the most prevalent being user experience. DISCUSSION AND IMPLICATIONS: We conclude that (a) the paucity of literature on telecaregiving does not allow for a comprehensive understanding of the needs and day-to-day activities of ADRD telecaregivers; (b) interventions developed to support ADRD telecaregiving may not fully meet the needs of caregivers or care recipients; and (c) there is insufficient rigorous research establishing the effects of telecaregiving interventions on key ADRD-related outcomes.

Home medication inventory method to assess over-the-counter (OTC) medication possession and use: A pilot study on the feasibility of in-person and remote modalities with older adults.

BACKGROUND: There is a need for reproducible methods to measure over-the-counter (OTC) medication possession and use. This is because OTC medications are self-managed, variably monitored by healthcare professionals, and in certain populations such as older adults some OTC medications may introduce risk and cause more harm than benefit. OBJECTIVE: (s): To develop and assess the feasibility of the Home Medication Inventory Method (HMIM), a novel method to measure possession and use of OTC medications. METHODS: We benchmarked, adapted, and standardized prior approaches to medication inventory to develop a method capable of addressing the limitations of existing methods. We then conducted a pilot study of the HMIM among older adults. Eligible participants were aged ≥60 years, reported purchasing or considering purchasing OTC medication, and screened for normal cognition. Interviews were conducted both in person and remotely. When possible, photographs of all OTC medications were obtained with participant consent and completion times were recorded for both in-person and remote modalities. RESULTS: In total 51 participants completed the pilot study. Home medication inventories were conducted in-person (n = 15) and remotely (n = 36). Inventories were completed in a mean (SD) of 20.2 min (12.7), and 96 % of inventories completed within 45 min. A total of 390 OTC medications were possessed by participants, for a mean (SD) of 7.6 (6.3) per participant. No differences in duration of interviews or number of medications reported were identified between in-person and remote modalities. Anticholinergic medications, a class targeted in the pilot as potentially harmful to older adults, were possessed by 31 % of participants, and 14 % of all participants reported use of such a medication within the previous 2 weeks. CONCLUSIONS: Implementing the HMIM using in-person and remote modalities is a feasible and ostensibly reproducible method for collecting OTC medication possession and use information. Larger studies are necessary to further generalize HMIM feasibility and reliability in diverse populations.

Characterizing barriers to closing cross-institutional referral loops: Workflow and information flow analysis.

The specialty referral process consists of primary care clinicians referring patients to specialty consultants. This care transition requires effective care coordination and health information exchange between care teams; however, breakdowns in workflow and information flow impede "closing the referral loop" and delay or prevent referrers from receiving the consultant's "visit notes," particularly in cross-institutional referrals. This study aimed to describe and map the referral process as it occurs in clinics and identify and characterize work system barriers affecting its performance. Referrers and consultants were interviewed about their perceived workflows, barriers, and clinical outcomes to inform a workflow analysis.