Comorbidity Patterns in Older Patients Undergoing Hip Fracture Surgery: A Comorbidity Network Analysis Study.

Comorbidity network analysis (CNA) is a technique in which mathematical graphs encode correlations (edges) among diseases (nodes) inferred from the disease co-occurrence data of a patient group. The present study applied this network-based approach to identifying comorbidity patterns in older patients undergoing hip fracture surgery. This was a retrospective observational cohort study using electronic health records (EHR). EHR data were extracted from the one University Health System in the southeast United States. The cohort included patients aged 65 and above who had a first-time low-energy traumatic hip fracture treated surgically between October 1, 2015 and December 31, 2018 (n = 1,171). Comorbidity includes 17 diagnoses classified by the Charlson Comorbidity Index. The CNA investigated the comorbid associations among 17 diagnoses. The association strength was quantified using the observed-to-expected ratio (OER). Several network centrality measures were used to examine the importance of nodes, namely degree, strength, closeness, and betweenness centrality. A cluster detection algorithm was employed to determine specific clusters of comorbidities. Twelve diseases were significantly interconnected in the network (OER > 1, p-value < .05). The most robust associations were between metastatic carcinoma and mild liver disease, myocardial infarction and congestive heart failure, and hemi/paraplegia and cerebrovascular disease (OER > 2.5). Cerebrovascular disease, congestive heart failure, and myocardial infarction were identified as the central diseases that co-occurred with numerous other diseases. Two distinct clusters were noted, and the largest cluster comprised 10 diseases, primarily encompassing cardiometabolic and cognitive disorders. The results highlight specific patient comorbidities that could be used to guide clinical assessment, management, and targeted interventions that improve hip fracture outcomes in this patient group.

Nursing Home PRevention of Injury in DEmentia (NH PRIDE): A pilot study of a remote injury prevention service for NH residents.

BACKGROUND: Medication optimization, including prescription of osteoporosis medications and deprescribing medications associated with falls, may reduce injurious falls. Our objective was to describe a remote, injury prevention service (NH PRIDE) designed to optimize medication use in nursing homes (NHs), and to describe its implementation outcomes in a pilot study. METHODS: This was a non-randomized trial (pilot study) including NH staff and residents from five facilities. Long-stay residents at high-risk for injurious falls were identified using a validated risk calculator and staff referral. A remote team reviewed the electronic health record (EHR) and provided recommendations as Injury Prevention Plans (IPP). A research nurse served as a care coordinator focused on resident engagement and shared decision-making. Outcomes included implementation measures, as identified in the EHR, and surveys and interviews with staff. RESULTS: Across five facilities, 274 residents were screened for eligibility, and 46 residents (16.8%) were enrolled. Most residents were female (73.9%) and had dementia (63.0%). An IPP was completed for 45 residents (97.8%). The nurse made a total of 93 deprescribing recommendations in 36 residents (80% of residents had one or more deprescribing recommendation; mean 2.2 recommendations/resident). Twenty of 45 residents (44.4%) had a recommendation for osteoporosis treatment. Among residents with recommendations, 21/36 (58.3%) had one or more deprescribing orders written and 6/20 (30.0%) had an osteoporosis medication prescribed. At 4 months, most medication changes persisted. Adverse side effects were rare. Staff members identified several areas for program refinement, including aligning recommendations with provider workflow and engaging consultant psychiatrists. CONCLUSIONS: A remote injury prevention service is safe and feasible to enhance deprescribing and osteoporosis treatment in long-stay NH residents at risk for injury. Additional investigation is needed to determine if this model could reduce injurious falls when deployed across NH chains.

Impact of Dementia on Incidence and Severity of Postoperative Pulmonary Complications Following Hip Fracture Surgery Among Older Patients.

Postoperative pulmonary complications (PPCs) are the leading cause of death following hip fracture surgery. Dementia has been identified as a PPC risk factor that complicates the clinical course. By leveraging electronic health records, this retrospective observational study evaluated the impact of dementia on the incidence and severity of PPCs, hospital length of stay, and postoperative 30-day mortality among 875 older patients (≥65 years) who underwent hip fracture surgery between October 1, 2015 and December 31, 2018 at a health system in the southeastern United States. Inverse probability of treatment weighting using propensity scores was utilized to balance confounders between patients with and without dementia to isolate the impact of dementia on PPCs. Regression analyses revealed that dementia did not have a statistically significant impact on the incidence and severity of PPCs or postoperative 30-day mortality. However, dementia significantly extended the hospital length of stay by an average of 1.37 days.

Perspectives on Deprescribing in long-term care: qualitative findings from nurses, aides, residents, and proxies.

BACKGROUND: Deprescribing initiatives in the long-term care (LTC) setting are often unsuccessful or not sustained. Prior research has considered how physicians and pharmacists feel about deprescribing, yet little is known about the perspectives of frontline nursing staff and residents. Our aim was to elicit perspectives from LTC nursing staff, patients, and proxies regarding their experiences and preferences for deprescribing in order to inform future deprescribing efforts in LTC. METHODS: This study was a qualitative analysis of interviews with nurses, nurse aides, a nurse practitioner, residents, and proxies (family member and/or responsible party) from three LTC facilities. The research team used semi-structured interviews. Guides were designed to inform an injury prevention intervention. Interviews were recorded and transcribed. A qualitative framework analysis was used to summarize themes related to deprescribing. The full study team reviewed the summary to identify actionable, clinical implications. RESULTS: Twenty-six interviews with 28 participants were completed, including 11 nurse aides, three residents, seven proxies, one nurse practitioner, and six nurses. Three themes emerged that were consistent across facilities: 1) build trust with team members, including residents and proxies; 2) identify motivating factors that lead to resident, proxy, nurse practitioner, and staff acceptance of deprescribing; 3) standardize supportive processes to encourage deprescribing. These themes suggest several actionable steps to improve deprescribing initiatives including: 1) tell stories about successful deprescribing, 2) provide deprescribing education to frontline staff, 3) align medication risk/benefit discussions with what matters most to the resident, 4) standardize deprescribing monitoring protocols, 5) standardize interprofessional team huddles and care plan meetings to include deprescribing conversations, and 6) strengthen non-pharmacologic treatment programs. CONCLUSIONS: By interviewing LTC stakeholders, we identified three important themes regarding successful deprescribing: Trust, Motivating Factors, and Supportive Processes. These themes may translate into actionable steps for clinicians and researchers to improve and sustain person-centered deprescribing initiatives. TRIAL REGISTRATION: NCT04242186.

Impact of Dementia on Long-Term Hip Fracture Surgery Outcomes: An Electronic Health Record Analysis.

OBJECTIVE: Older adults with dementia are at higher risk for sustaining hip fracture and their long-term health outcomes after surgery are usually worse than those without dementia. Widespread adoption of electronic health records (EHRs) may allow hospitals to better monitor long-term health outcomes in patients with dementia after hospitalization. This study aimed to (1) estimate how dementia influences discharge location, mortality, and readmission 180 days and 1 year after hip fracture surgery in older adults, and (2) demonstrate the feasibility of using selection-bias reduced EHR data for research and long-term health outcomes monitoring. DESIGN: Retrospective observational cohort study using EHRs. SETTING AND PARTICIPANTS: A cohort of 1171 patients over age 65 years who had an initial hip fracture surgery between October 2015 and December 2018 was extracted from EHRs of one health system; 376 of these patients had dementia. METHODS: Logistic regression was applied to estimate influences of dementia on discharge disposition and Cox proportional hazards model for mortality. The Fine and Gray regression model was used to analyze readmission, accounting for the competing risk of death. To reduce selection bias in EHRs, inverse probability of treatment weighting using propensity scores was implemented before modeling. RESULTS: Dementia had significant impacts on all outcomes: being discharged to facilities [odds ratio (OR) = 2.11, 95% confidence interval (CI) 1.19-3.74], 180-day mortality [hazard ratio (HR) = 1.69, 95% CI 1.20-2.38], 1-year mortality (HR = 1.78, 95% CI 1.33-2.38), 180-day readmission (HR = 1.62, 95% CI 1.39-1.89), and 1 year readmission (HR = 1.39, 95% CI 1.21-1.58). CONCLUSIONS AND IMPLICATIONS: Dementia was a significant risk factor for worse long-term outcomes. The inverse probability of treatment weighting approach can be used to reduce selection bias in EHR data for research and monitoring long-term health outcomes in the target population. Such monitoring could foster collaborations with post-acute and long-term health care services to improve recovery outcomes in patients with dementia after hip fracture surgery.

Veterans Health Administration Models of Community-Based Long-Term Care: State of the Science.

The complex care needs of older adults arising at the intersection of age-related illnesses, military service, and social barriers have presented challenges to the US Department of Veterans Affairs (VA) for decades. In response, the VA has invested in centers that integrate research, education, and clinical innovation, using approaches aligned with a learning health care system, to create, evaluate, and implement new care models. This article presents an integrative review of 6 community care models developed within the VA to manage multimorbidity, complex social needs, and avoid institutional care, examining how these models address complex care needs among older adults. The models reviewed include Home Based Primary Care, Medical Foster Home, the VA Caregiver Support Program, the Resources Enhancing Alzheimer's Caregiver Health (REACH)-VA program, the Caregivers of Older Adults Cared for at Home (COACH) program, and Veteran Directed Care. Core components and evaluation outcomes for each model are summarized, along with implications for more widespread implementation and research. Each model promotes coordinated care, integrates behavioral health, and leverages interprofessional expertise. All models are cost-neutral or incur only modest cost increases to improve outcomes. Broader implementation will require interprofessional workforce development, payment model realignment, and infrastructure to evaluate outcomes in new settings. The VA provides a blueprint for infrastructure that could be adapted to other domestic and international settings. Care models successfully implemented within the VA's single-payer system hold promise to address persistent dilemmas in long-term care, such as management of multimorbidity and social drivers of health, integration and support of family caregivers, and mental health integration. These models also demonstrate the value of incorporating care approaches that have been developed or tested outside the United States and argue for greater cross-fertilization of ideas from different health systems.

Improving shared decision-making for osteoporosis pharmacologic therapy in nursing homes: a qualitative analysis.

Decisions on whether to use pharmacologic osteoporosis therapy in skilled nursing facility residents are complex and require shared decision-making. Residents, proxies, and staff desire individualized fracture risk estimates that consider advanced age, dementia, and mobility. They want options for reducing administration burden, monitoring instructions, and periodic reassessment of risk vs. benefit. PURPOSE: Decisions about pharmacologic osteoporosis treatment in nursing home (NH) residents with advanced age and multimorbidity are complex and should occur using shared decision-making. Our objective was to identify processes and tools to improve shared decision-making about pharmacologic osteoporosis treatment in NHs. METHODS: Qualitative analysis of data collected in three NHs from residents at high fracture risk, their proxies, nursing assistants, nurses, and one nurse practitioner (n = 28). Interviews explored participants' stories, attitudes, and experiences with oral osteoporosis medication management. Framework analysis was used to identify barriers to shared decision-making regarding osteoporosis treatment in this setting. RESULTS: Participants wanted individualized fracture risk estimates that consider immobility, advanced age, and comorbid dementia. Residents and proxies expected nursing staff to be involved in the decision-making; nursing staff wished to be informed on the relative risks vs. benefits of medications and given monitoring instructions. Two important competing demands to address during the shared decision-making process were burdensome administration requirements and polypharmacy. Participants wanted to reassess pharmacologic treatment appropriateness over time as clinical status or goals of care change. CONCLUSIONS: Shared decision-making using strategies and tools identified in this analysis may move osteoporosis pharmacologic treatment in NHs and for other older adults with multimorbidity from inappropriate inertia to appropriate prescribing or appropriate inaction.

Using Technology to Measure Older Adults' Social Networks for Health and Well-Being: A Scoping Review.

BACKGROUND AND OBJECTIVES: Social networks affect the health and well-being of older adults. Advancements in technology (e.g., digital devices and mHealth) enrich our ability to collect social networks and health data. The purpose of this scoping review was to identify and map the use of technology in measuring older adults' social networks for health and social care. RESEARCH DESIGN AND METHODS: The Joanna Briggs Institute methodology was followed. PubMed (MEDLINE), Sociological Abstracts, SocINDEX, CINAHL, and Web of Science were searched for relevant articles. Conference abstracts and proceedings were searched via Conference Papers Index, the American Sociological Society, and The Gerontological Society of America. Studies published in English from January 2004 to March 2020 that aimed to improve health or social care for older adults and used technology to measure social networks were included. Data were extracted by 2 independent reviewers using an a priori extraction tool. RESULTS: The majority of the 18 reviewed studies were pilot or simulation research conducted in Europe that focused on older adults living in the community. The various types of technologies used can be categorized as environment-based, person-based, and data-based. DISCUSSION AND IMPLICATIONS: Technology facilitates objective and longitudinal data collection on the social interactions and activities of older adults. The use of technology to measure older adults' social networks, however, is primarily in an exploratory phase. Multidisciplinary collaborations are needed to overcome operational, analytical, and implementation challenges. Future studies should leverage technologies for addressing social isolation and care for older adults, especially during the coronavirus disease 2019 pandemic.

Effect of Race/ethnicity, Insurance Status, and Area Deprivation on Hip Fracture Outcomes Among Older Adults in the United States.

This retrospective cohort study used electronic health records to explore the effect of race/ethnicity, insurance status, and area deprivation on post-discharge outcomes in older patients undergoing hip fracture surgery between 2015 and 2018 (N = 1,150). Inverse probability of treatment weight-adjusted regression analysis was used to identify the effects of the predictors on outcomes. White patients had higher 90- and 365-day readmission risks than Black patients and higher all-period readmissions than the Other racial/ethnic (Hispanic, Asian, American Indian, and Multicultural) group (p < .000). Black patients had a higher risk of 30- and 90-day readmission than the Other racial/ethnic group (p < .000). Readmission risk across 1-year follow-up was generally higher among patients from less deprived areas than more deprived areas (p < .05). The 90- and 365-day mortality risk was lower for patients from less deprived areas (vs. more deprived areas) and patients with Medicare Advantage (vs. Medicare), respectively (p < .05). Our findings can guide efforts to identify patients for additional post-discharge support. Nevertheless, the findings regarding readmission risks contrast with previous knowledge and thus require more validation studies.

Strengthening Resident, Proxy, and Staff Engagement in Injury Prevention in Skilled Nursing Facilities.

BACKGROUND AND OBJECTIVES: Engaging residents, their proxies, and skilled nursing facility (SNF) staff through effective communication has potential for improving fall-related injury prevention. The purpose of this study was to understand how multiple stakeholders develop and communicate fall-related injury prevention plans to enhance sustained implementation. RESEARCH DESIGN AND METHODS: Descriptive qualitative study using framework analysis applied to open-ended semistructured interviews (n = 28) regarding experiences of communication regarding fall-related injury prevention, guided by the Patient and Family Engaged Care framework. Participants included residents at high risk of injury and their proxies, nursing assistants, nurses, and a nurse practitioner from 3 SNFs in the Eastern United States (Massachusetts and North Carolina). RESULTS: Interdisciplinary teams were viewed as essential for injury prevention. However, the roles of the interdisciplinary team members were sometimes unclear. Communication structures were often hierarchical, which reduced engagement of nursing assistants and frustrated proxies. Practices that enhanced engagement included knowing the residents, active listening skills, and use of strategies for respecting autonomy. Engagement was inhibited by time constraints, lack of proactive communication among staff, and by challenges eliciting the perspectives of residents with dementia. Resident barriers included desire for autonomy, strong preferences, and language differences. DISCUSSION AND IMPLICATIONS: Strengthening team meeting processes and cultivating open communication and collaboration could facilitate staff, resident, and proxy engagement in injury prevention planning and implementation. Skill building and targeting resources to improve communication can address barriers related to staff practices, resident characteristics, and time constraints.