"Medication Is Just One Piece of the Whole Puzzle": How Nursing Homes Change Their Use of Antipsychotic Medications.

Antipsychotic medication use for nursing home residents with dementia poses major patient safety challenges. This article investigates health professionals' experiences with decision-making during changes under the National Partnership to Improve Dementia Care in Nursing Homes (National Partnership) and its companion state coalitions. These programs were introduced in 2012 to encourage reductions in antipsychotic use and increased use of nonpharmacological treatments for dementia. Interviews with 40 nursing home physicians and staff in seven states found that reducing antipsychotics is more time and resource-intensive than relying on medication, because it requires a person-centered approach. However, respondents supported reductions in antipsychotic use, and indicated that with sufficient staffing, effective communications, and training, they could create or implement individualized treatments. Their positive attitudes suggest that the National Partnership has been a catalyst in reducing antipsychotic medications, and their perspectives can inform further research, policy and practice in nursing homes toward achieving quality dementia care.

Making Decisions About Stopping Medicines for Well-Controlled Juvenile Idiopathic Arthritis: A Mixed-Methods Study of Patients and Caregivers.

OBJECTIVE: Improved treatments for juvenile idiopathic arthritis (JIA) have increased remission rates. We conducted this study to investigate how patients and caregivers make decisions about stopping medications when JIA is inactive. METHODS: We performed a mixed-methods study of caregivers and patients affected by JIA, recruited through social media and flyers, and selected by purposive sampling. Participants discussed their experiences with JIA, medications, and decision-making through recorded telephone interviews. Of 44 interviewees, 20 were patients (50% ages <18 years), and 24 were caregivers (50% caring for children ages ≤10 years). We evaluated characteristics associated with high levels of reported concerns about JIA or medicines using Fisher's exact testing. RESULTS: Decisions about stopping medicines were informed by competing risks between disease activity and treatment. Participants who expressed more concerns about JIA were more likely to report disease-related complications (P = 0.002) and more motivated to continue treatment. However, participants expressing more concern about medicines were more likely to report treatment-related complications (P = 0.04) and felt more compelled to stop treatment. Additionally, participants considered how JIA or treatments facilitated or interfered with their sense of normalcy and safety, expressed feelings of guilt and regret about previous or potential adverse events, and reflected on uncertainty and unpredictability of future harms. Decision-making was also informed by trust in rheumatologists and other information sources (e.g., family and online support groups). CONCLUSION: When deciding whether to stop medicines whenever JIA is inactive, patients and caregivers weigh competing risks between disease activity and treatment. Based on our results, we suggest specific approaches for clinicians to perform shared decision-making regarding stopping medicines for JIA.

National Partnership to Improve Dementia Care in Nursing Homes Campaign: State and Facility Strategies, Impact, and Antipsychotic Reduction Outcomes.

BACKGROUND AND OBJECTIVES: Antipsychotic medications have been widely used in nursing homes to manage behavioral and psychological symptoms of dementia, despite significantly increased mortality risk. Use grew rapidly during the 2000s, reaching 23.9% of residents by 2011. A national campaign for safer dementia care in U.S. nursing homes was launched in 2012, with public reporting of quality measures, increased regulatory scrutiny, and accompanying state and facility initiatives. By the second quarter of 2019, use had declined by 40.1% to 14.3%. We assessed the impact of state and facility initiatives during the Campaign aimed at encouraging more-judicious prescribing of antipsychotic medications. RESEARCH DESIGN AND METHODS: Our mixed-methods strategy integrated administrative and clinical data analyses with state and facility case studies. RESULTS: Results suggest that substantial change in prescribing is achievable through sustained, data-informed quality improvement initiatives integrating educational and regulatory interventions, supported by public quality reporting. Adequate staffing, particularly of registered nurses, is key to support individualized management of symptoms through nonpharmacological strategies. Case study results suggest that state and facility initiatives during the campaign achieved considerable buy-in for the goal of more conservative prescribing, through a social process of normalization. Reporting and reduction of antipsychotic use was not followed by increases in sedative-hypnotic medication use. Rather, sedative-hypnotic use declined in tandem with antipsychotic reduction, suggesting that increased attention to prescribing patterns led to more cautious use of other risky psychotropic medications. DISCUSSION AND IMPLICATIONS: Quality improvement initiatives to change entrenched but problematic clinical practices face many barriers to success, including provider-level inertia; perceptions that alternatives are not available; and family and staff resistance. Nevertheless, systemic change is possible through concerted, collaborative efforts that touch prescribing practices at multiple points; integrate educational and regulatory influences; activate local and state champions for improvement; foster reputational influences through public reporting and benchmarking; and support a social process of normalization of preferred care processes as a best practice that is in the interest of patients.

Medical staff involvement in nursing homes: development of a conceptual model and research agenda.

Medical staff (physicians, nurse practitioners, physicians' assistants) involvement in nursing homes (NH) is limited by professional guidelines, government policies, regulations, and reimbursements, creating bureaucratic burden. The conceptual NH Medical Staff Involvement Model, based on our mixed-methods research, applies the Donabedian "structure-process-outcomes" framework to the NH, identifying measures for a coordinated research agenda. Quantitative surveys and qualitative interviews conducted with medical directors, administrators and directors of nursing, other experts, residents and family members and Minimum Data Set, the Online Certification and Reporting System and Medicare Part B claims data related to NH structure, process, and outcomes were analyzed. NH control of medical staff, or structure, affects medical staff involvement in care processes and is associated with better outcomes (e.g., symptom management, appropriate transitions, satisfaction). The model identifies measures clarifying the impact of NH medical staff involvement on care processes and resident outcomes and has strong potential to inform regulatory policies.

How valid are the responses to nursing home survey questions? Some issues and concerns.

PURPOSE: Although surveys are usually piloted before fielding, cognitive-based testing of surveys is not standard practice in nursing home (NH) research. Many terms used in the literature do not have standard definitions and may be interpreted differently by researchers, respondents, and policy makers. The purpose of this study was to ensure that survey respondents understood questions as intended, determine whether the Nursing Home Administrator (NHA) or the Director of Nursing (DON) was better able to answer questions on certain topics, and to inform the answer choices provided for questions. METHODS: Using existing survey questions and input from experts, we developed surveys to be administered to DONs and NHAs. Cognitive-based interviews were conducted with 45 participants. We took detailed notes during all interviews, and 2 researchers independently coded these notes for key themes. RESULTS: Many terms and concepts routinely used by NH researchers and policy makers, such as "direct-care workers" and "palliative care," were not uniformly interpreted by those managing NHs. For example, respondents' definitions of direct-care workers ranged from nursing assistants to broader categories of clinical and other staff members, including nurses, activities staff, and social workers. We also found NHAs and DONs, at times, did not possess or have access to information the researchers expected them to. IMPLICATIONS: Our results may help explain discrepant findings across NH studies. They also underscore the necessity of cognitive-based testing for survey development and have important implications for policy decisions.

Not afraid to blame: the neglected role of blame attribution in medical consumerism and some implications for health policy.

A crucial aspect of medical consumerism has been overlooked in past research and policymaking: how consumers decide whom to "blame" for bad outcomes. This study explores how, in a system increasingly dominated by managed care, these attributions affect consumers' attitudes and behavior. Using data from the experiences of people with serious mental illness, hypotheses are tested regarding the origins and consequences of blaming for medical consumerism. Blame was allocated to health plans in a manner similar, but not identical, to the way in which blame was allocated to health care professionals. Both allocations are shaped by enrollment in managed care, with blame allocation affecting consumers' subsequent willingness to talk about adverse events. Policy implications include the need for more finely tuned grievance procedures and better consumer education about managed care practices.