Can Implementing Person-Centered Care Tools Reduce Complaints? Evidence from the Implementation of PELI in Ohio Nursing Homes.

Nursing homes receive complaints when actual care provided to residents misaligns with desired care, suggesting that person-centered care (PCC) and honoring resident preferences in care delivery may help prevent complaints from arising. We explore whether nursing home implementation of a PCC tool, the Preferences for Everyday Living Inventory (PELI), is related to measures of complaints. Publicly available data on Ohio nursing homes was used to examine 1,339 nursing home-year observations. Regression techniques were used to evaluate the relationship between the extent of PELI implementation and four complaint outcomes: any complaint, number of complaints, any substantiated complaint, and number of substantiated complaints. Nursing homes with complete PELI implementation were less likely to have any complaints by 4.7% points (P < .05) and any substantiated complaints by 11.5% points (P < .001) as compared to partial PELI implementers. When complete PELI implementers did have complaints, they were fewer than partial PELI implementers. Complete PELI implementers were not immune from receiving complaints; however, the complaints they did receive were fewer in number and less likely to be substantiated as compared to communities who only partially implemented a PCC tool.

Validation of the Chinese version of the resident satisfaction in long-term care facilities.

BACKGROUND: Accurate measurements of resident satisfaction in long-term care settings can provide administrators with valuable information to improve the quality of care. However, such assessment has been insufficient in long-term care facilities of China due to limited validated measuring instruments. We aim to translate and validate a Chinese version of the resident satisfaction assessment based upon the Ohio Long-term Care Resident Satisfaction Survey (OLCRSS). METHOD: An external specialist team assessed the translated items of OLCRSS and provided content validation scores (CVI). Criterion-related validity was determined by measuring the correlation between the Chinese version OLCRSS, a global satisfaction, a quality-of-life questionnaire, and a depression measurement. The reliability was assessed by Cronbach alpha and intra-class correlation coefficients. We conducted an exploratory factor analysis to examine the structure of the Chinese version OLCRSS. A total of 172 older adults recruited from Shanghai, China, participated in this study. RESULTS: The Chinese version OLCRSS demonstrated excellent validity, with the CVI = 1.0, ICC = .96, p < .001, and a Cronbach alpha = .96. The Chinese version OLCRSS was significantly correlated with quality of life (r=.267 p < 0.01), with the global satisfaction (r=.309, p < 0.01), and had negative correlation with depressive symptoms (r = -.044, P = .498). The exploratory factor analysis implied a slightly different structural relationship between items. Possible explanations were discussed in the discussion section. CONCLUSIONS: The Chinese version OLCRSS is a valid and potentially useful instrument for assessing resident satisfaction in long-term care facilities among the older Chinese population and Chinese contexts.

Facility and Family Communication during the COVID-19 Visit Restriction: Early Perspectives of Family Members.

During the COVID-19 pandemic, family concerns regarding residents in long-term care facilities (LTCFs) increased due to a high proportion of COVID cases and deaths among residents and restrictions that made it impossible to visit. These changes created numerous challenges for facilities communicating with families, and between families and residents. However, little is known about how these facilities addressed these communication challenges and how those communication strategies were related to family perceptions about the facility. We implemented an online survey of family members or friends of residents in LTCFs from April 28 to June 19, 2020, using convenience sampling. A total of 174 responses nationwide reported the types of communications used, frequency of communication and alternative visits, and whether respondents had peace of mind, would recommend the facility, or were considering removing the resident from the facility. The results of our hierarchical logistic regression showed that respondents felt greater peace of mind when there were multiple communication channels to contact the resident. Also, respondents had more negative perceptions of a facility when they were not informed about confirmed COVID cases. Our findings suggest multiple communication channels and transparency about COVID status were effective in keeping positive family perceptions about the facility.

Associations between Complaints and Organizational Characteristics among Ohio Nursing Homes.

OBJECTIVES: In recent years, Ohio nursing homes (NHs) have received an increasing number of complaints. The current study aims to gain a better understanding of the relationship between NH organizational characteristics and the number of complaints. DESIGN: Secondary data analysis was used. SETTING AND PARTICIPANTS: Four data sources on Ohio NHs were merged. Ohio NH complaints data reported in 2018 and 2019 was linked with the 2017 Ohio Biennial Survey of Long-Term Care Facilities, 2017 Ohio Nursing Home Resident Satisfaction Survey, and 2018 Ohio Nursing Home Family Satisfaction Survey. METHODS: Descriptive analysis, bivariate tests (ie, analysis of variance and χ2 test), and multinomial logistic regression analyses were conducted. RESULTS: Findings included that urban location, NH administrator (NHA) and director of nursing (DON) turnover in the previous 3 years, NH size, occupancy rate, certified nursing assistant (CNA) retention, and overall family satisfaction were significantly associated with total complaints. NHA and DON turnover, NH size, CNA retention, and overall family satisfaction were found to be significantly associated with substantiated complaints. CONCLUSIONS AND IMPLICATIONS: The importance of leadership (ie, NHA and DON) turnover, CNA retention, and family satisfaction indicates that specifically targeted efforts to improve in these areas can have a positive impact on NH quality.

Exploring the Relationship Between Extent of Person-Centered Care Implementation and Staffing Levels in Ohio Nursing Homes.

Background: The Preferences for Everyday Living Inventory (PELI) is a person-centered care (PCC) tool that uncovers/honors older adults' important preferences. PCC implementation in nursing homes (NHs) often requires additional resources, such as staff time. We explored if PELI implementation is associated with NH staffing levels. Methods: Using NH-year as the unit of observation (n = 1307), 2015 and 2017 data from Ohio NHs was used to examine the relationship between complete versus partial PELI implementation and staffing levels, measured in hours per resident day, for various positions and total nursing staff. Results: Complete PELI implementation was associated with higher nursing staff levels in both for-profits and not-for-profits; however, total nursing staff levels in not-for-profits were higher than for-profits (0.16 vs. 0.09 hours per resident day). The specific nursing staff associated with PELI implementation varied by ownership. Discussion: For NHs to fully implement PCC, a multifaceted approach to improve staffing is needed.

Sustaining Area Agency on Aging Services During a Pandemic: Innovation Through Community-Based Partnerships.

BACKGROUND AND OBJECTIVES: Area Agencies on Aging (AAAs) have funded, coordinated, and provided services since the 1960s, evolving in response to changes in policy, funding, and the political arena. Many of their usual service delivery programs and processes were severely disrupted with the onset of the coronavirus disease 2019 pandemic. Increasing evidence suggests the importance of partnerships in AAA's capacity to adapt services; however, specific examples of adaptations have been limited. We sought to understand how partnerships may have supported adaptation during the pandemic, from the perspectives of both AAAs and their partners. RESEARCH DESIGN AND METHODS: We conducted a secondary analysis of qualitative data from an explanatory sequential mixed-methods parent study. Data were collected from 12 AAAs diverse in terms of geographic region, governance structure and size, as well as a range of partner organizations. We completed 105 in-depth interviews from July 2020 to April 2021. A 5-member multidisciplinary team coded the data using a constant comparative method of analysis, supported by ATLAS.ti Scientific Software. RESULTS: AAAs and their partners described strategies and provided examples of ways to rapidly transform service delivery including reducing isolation, alleviating food insecurity, adapting program design and delivery, and leveraging partnerships and repurposing resources. DISCUSSION AND IMPLICATIONS: AAAs and partner organizations are uniquely positioned to innovate during times of disruption. Findings may enhance AAA and partner portfolios of evidence-based and evidence-supported programs.

Impact of Implementing the Preferences for Everyday Living Inventory on Nursing Home Survey Deficiencies.

OBJECTIVES: The purpose of this study is to expand on previous work testing the relationship between person-centered care (PCC) and quality outcomes in the nursing home (NH) setting. We explore if the Preferences for Everyday Living Inventory (PELI) implementation is a predictor of NH quality, as defined by deficiencies. DESIGN: Secondary data analysis of repeated cross-sections. SETTING AND PARTICIPANTS: Data from 6 sources on Ohio NHs were merged to examine 1300 NH-year observations. METHODS: Logistic regression techniques were used to evaluate the relationship between PELI implementation and 3 survey deficiency outcomes: whether the NH had a 4- or 5- deficiency star rating, deficiency score, and whether the NH had a deficiency score of 0. RESULTS: NHs with complete PELI implementation increased the probability of having a 4- or 5- deficiency star rating by 6 percentage points (P = .039). Results also show complete PELI implementation is related to lower deficiency scores and an increased probability of having a deficiency score of 0, but only a 0 deficiency score was marginally significant. CONCLUSIONS AND IMPLICATIONS: The findings indicate PCC stands to improve quality outcomes; however, benefits take time to show. Future research should seek to help improve NHs level of commitment to PCC and buy-in from policymakers.

Organizational and Resident Characteristics of Nursing Homes Associated With Partial and Complete Implementation of the Preferences for Everyday Living Inventory.

Background and Objectives: Person-centered care practices are essential to providing high-quality care for nursing home (NH) residents. A key component of implementing person-centered care is the assessment and fulfillment of residents' preferences. However, few NHs consistently assess and implement residents' preferences into care. From 2015 to 2019, the Ohio Department of Medicaid added the Preference for Everyday Living Inventory (PELI), a scientifically validated tool to assess residents' preferences, as a quality indicator to improve the person centeredness of Ohio's NHs. In this study, we sought to identify the associations between resident and organizational characteristics and PELI implementation in Ohio NHs. Research Design and Methods: We constructed an NH-level database that merged data from the Ohio Biennial Survey of Long-Term Care Facilities, Ohio Medicaid Cost Reports, the Certification and Survey Provider Enhanced Reports data, the WWAMI Rural Health Research Center, and the Minimum Data Set. Freestanding NHs were included if they were owned by a for-profit or not-for-profit organization, and had data collected in 1 of 2 years (n = 1,320; year 2015, n = 814; year 2017, n = 506). Descriptive statistics and multiple logistic regression were used to understand the relationships between resident demographics, NH organizational characteristics, and partial versus complete PELI implementation. Results: Most NHs (71.2%) reported complete implementation of the PELI over 2 years with implementation increasing over time. There was a relationship between complete PELI implementation and for-profit status, higher number of beds, higher Medicare funding, higher certified nursing assistants and activity staff hours, and urban location. Discussion and Implications: This work has important implications for the implementation of person-centered care interventions in NHs and our understanding of what NH characteristics are related to successful implementation. The next steps should include a continued, detailed assessment of PELI implementation and an exploration of the potential impact of PELI implementation on residents, staff, and organizational outcomes.

Worker injuries and safety equipment in Ohio nursing homes.

A survey of Ohio nursing homes was conducted in 2007 to examine whether injury rates were related to facility characteristics and availability of safety equipment. The median rate of injury in the 898 facilities was 5.7 injuries per 100 workers per year. Although 95% of the facilities had written resident lift-ing policies, only 22% of these were zero-lift policies. Gait transfer belts(99%) and portable total-lift hoists(96%) were common, whereas ceiling-mounted total-lift hoists were rarely reported (7%). In a multivariable analysis, injury rate ratios increased with the proportion of residents using wheel-chairs and were lower in smaller facilities. Facilities without a lifting policy had a higher estimated injury rate than facilities without such a policy; however, none of the safety equipment was associated with significant changes in injury rates. More information, such as frequency of use and access to ver-sus availability of equipment, may be needed to better understand the im-pact of safety equipment on nursing home worker injury rates.

How Do Area Agencies on Aging Build Partnerships With Health Care Organizations?

BACKGROUND AND OBJECTIVES: Partnerships between health care and social service organizations may contribute to lower health care use and spending. Such partnerships are increasing, including Area Agencies on Aging (AAAs) working and contracting with health care organizations. Nevertheless, knowledge about how AAAs establish and manage successful collaborations is limited. We sought to understand how AAAs establish and manage partnerships with health care organizations. RESEARCH DESIGN AND METHODS: We conducted an explanatory sequential mixed-methods study using a positive deviance approach. We used national-level data to identify AAAs with multiple health care partners serving areas with low utilization of nursing homes by residents with low-care needs (n = 9) and AAAs with few health care partners and high utilization for comparison (n = 3). We conducted in-depth interviews with key informants from these 12 AAAs and their partner organizations (total n = 130). A 5-person multidisciplinary team used the constant comparative method of analysis, supported by Atlas.ti software. RESULTS: Highly partnered AAAs were characterized by 3 distinctive features of organizational culture: (a) attention to external environments, (b) openness to innovation and change, and (c) risk-taking to learn, improve, and grow. AAAs and partners describe a broad set of organizational strategies and partnership development tactics, depending on their local contexts. These features were underdeveloped in AAAs with few health care partnerships. DISCUSSION AND IMPLICATIONS: While federal and state policies can create more favorable environments for AAA-health care partnerships, AAAs can also work internally to foster an organizational culture that allows them to thrive in dynamic and challenging environments.

Exploring the Criterion Validity of Pragmatic Person-Centered Care/Culture Change Measures.

BACKGROUND: Nursing homes (NHs) are required to provide person-centered care, efforts often folded into broader culture change initiatives. Despite the known benefits of culture change, it is difficult to measure. This study aims to assess the criterion validity of the Preferences for Everyday Living Inventory (PELI) Implementation Indicator with other culture change measures. METHODS: Using data from Ohio-based NHs (n = 771), logistic regression techniques demonstrated the relationship between the PELI Implementation Indicator and two validated culture change measures, the Resident Preferences for Care (RPC) and Certified Nursing Assistant (CNA) Empowerment scales. RESULTS: There was a significant relationship between the two scales and complete PELI implementation holding all other variables constant. The RPC and CNA Empowerment scales were significantly associated with complete PELI implementation. DISCUSSION: Findings suggest that the PELI Implementation Indicator can be used as a pragmatic indicator of a community's adoption of person-centered care and culture change.

A Process Evaluation of Developing Older Adult Research Advisory Boards in Long-term Care Settings.

BACKGROUND: Enhancing the capacity of researchers, providers and older adults to collaborate in research is critical for promoting relevant, useful research findings. OBJECTIVES: The Sages in Every Setting project aimed to disseminate a flexible model for developing research advisory boards (RABs) comprised of older adults receiving long-term services and supports (LTSS) via partnerships between academic researchers and LTSS providers. METHODS: Process evaluation assessed the feasibility of using resources to develop RABs. Partners sought regular feedback from facilitators and RAB members, which was shared with the evaluator. The evaluator conducted regular debriefings with academic partners and observed some RAB meetings. LESSONS LEARNED: The development of RABs was impacted by pre-existing collaborations, characteristics of providers, flexible use of the resources, facilitator capacity, member capacity, and researcher capacity. CONCLUSIONS: Developing RABs was feasible. Long-term partnerships between research institutions and LTSS providers that serve diverse populations could improve successful dissemination of this model.

Organizational Factors Associated With Retention of Direct Care Workers: A Comparison of Nursing Homes and Assisted Living Facilities.

BACKGROUND AND OBJECTIVES: Low retention of direct care workers (DCWs), either certified nursing assistants in nursing homes (NHs) or personal care assistants in assisted living (AL), continues to be an unresolved problem. While numerous studies have examined predictors of DCW retention in NHs, little attention has been paid to differences between settings of long-term care. This study compares the predictors of DCW retention rates across both settings. RESEARCH DESIGN AND METHODS: The 2017 Ohio Biennial Survey of Long-Term Care Facilities provides facility-level information from NHs and ALs (NHs = 739; ALs = 465). We compare the factors that predict retention rates of DCWs utilizing regression analysis. The factors are structural, financial, resident conditions, staffing, and management characteristics, as well as retention strategies. RESULTS: Average DCW retention rates were 66% and 61% in ALs and NHs, respectively. Not-for-profit status was significantly associated with higher retention rates across settings. While the percent of residents with dementia and less administrator turnover were associated with significantly higher DCW retention in NHs, these were not significant for ALs. However, in the AL context, a higher county unemployment rate and DCWs' participation in resident care planning meetings were positively related to DCW retention after controlling for all other covariates, while DCW cross-training was negatively associated. DISCUSSION AND IMPLICATIONS: Retention strategies for DCWs may need to differ by setting, as a result of differing working environments, resources, and regulations.

Resident Preferences and CNA Empowerment: Testing Validity and Reliability of a Culture Change Survey Tool.

Culture change (CC) is an innovation to improve nursing home resident quality of life. Inconsistencies in how CC is measured make the interpretation of findings inconclusive. The purpose of this study is to determine the underlying factors of CC among Ohio nursing homes to extract the core essence of CC. Data from the 2015 Ohio Biennial Survey of Long-Term Care Facilities with n = 721 nursing homes answering a CC module comprising of 21 questions are included in an exploratory factor analysis (EFA). EFA results identified two underlying factors of CC that are extracted using principal factor method. These factors include items related to resident preferences for care (RPC) and certified nursing assistant (CNA) empowerment. This study presents two valid and reliable scales to advance the measurement of CC. These scales can be used to explore both RPC and CNA empowerment components as predictors or outcomes.

Progress and Policy Opportunities in Family Caregiver Assessment: Results From a National Survey.

Family caregivers play an essential role in long-term services and supports (LTSS). Despite numerous calls for robust caregiver assessment policies to determine needs and treat them as partners in care planning, there has been limited information about whether or how states assess caregiver needs and strengths, or use caregiver information. Using cross-sectional survey data from the 2015 Process Evaluation of the Older Americans Act National Family Caregiver Support Program (NFCSP), this study analyzes caregiver assessment policies and practices in 54 State Units on Aging, 619 Area Agencies on Aging, and 642 local service providers. It examines whether and for what purposes caregiver assessments are used, what domains are included, and how well current policies conform to recommended practice. It also recommends that policy makers who influence NFCSP and other LTSS programs develop caregiver assessment practices using a multidimensional framework including more caregiver-focused domains and utilizing assessment data to measure program outcomes.

A review and characterization of the MDS process in nursing homes.

The Minimum Data Set (MDS) is a tool used by nursing homes for resident assessment and care planning, indicating facility quality and the extent of residents' care needs. The process by which the MDS is completed by facilities has not been empirically studied. Understanding common strategies and practices for completing the MDS helps further comprehend the validity of the MDS and its relevance for focusing on residents and implementing clinical nursing interventions. This article reports on the responses to a survey questionnaire addressing this process by a sample of nursing homes in Ohio. The MDS assessment was found to be an intensive activity requiring the commitment of multiple staff members. Most facilities employed at least one full-time coordinator for this task. The importance of training was noted by a number of facilities, and the Resident Assessment Instrument manual was highlighted as one of the most valued resources for completing this assessment.

The Residential Long-Term Care Role in Health Care Transitions.

The objective of the current study is to describe the activities long-term care facilities are undertaking to reduce hospital admissions and readmissions by working to improve health care transitions. The data were collected via an online survey from 888 nursing facilities (NFs) and 527 residential care facilities (RCFs) that completed the care integration module of the Ohio Biennial Survey of Long-Term Care. Questions focused on partnerships, current work, type of care model, and perceived barriers to reducing hospital readmissions. More than nine in 10 (93.1%) of NFs and 63.6% of RCFs reported being engaged in a program to reduce hospital admissions/readmissions. Evidence-based care models were utilized by two thirds of NFs and one third of RCFs. Financial barriers were the most frequently cited challenges faced by facilities. Long-term care settings are increasingly becoming transitional care stops for short-term stay residents. Ensuring that facilities are well versed in current transition research and practice is critical to improve system outcomes.

Cross-Sectoral Partnerships By Area Agencies On Aging: Associations With Health Care Use And Spending.

Area Agencies on Aging (AAAs)-which coordinate social services for older adults in communities across the US-regularly address social determinants of health, sometimes in partnership with other social services and health care organizations. Using data from a 2013 national survey of these agencies, we examined whether their partnership activities were associated with 2014 levels of avoidable health care use and spending for older adults in counties served by each AAA. Multivariate regression models adjusted for agency characteristics, county demographic characteristics, and health care supply factors. We found that counties whose AAAs maintained informal partnerships with a broad range of organizations in health care and other sectors had significantly lower hospital readmission rates, compared to counties whose AAAs had informal partnerships with fewer types of organizations. Counties whose AAAs had programs to divert older adults from nursing home placement had significantly lower avoidable nursing home use, compared to counties whose AAAs lacked such programs. Our findings suggest that AAAs may be a promising source of leadership for cross-sectoral partnerships that effectively address both social and medical determinants of health for older adults, who account for a substantial share of overall health care spending.

Delivering Person-Centered Care: Important Preferences for Recipients of Long-term Services and Supports.

OBJECTIVES: Although assessing individual consumer preferences are an important first step in providing person-centered care, the purpose of this study was to identify the top 10 shared preferences that are important to a majority of consumers receiving long-term services and supports. DESIGN: A cross-sectional survey design was used. SETTING AND PARTICIPANTS: Preference assessment interviews were conducted with 255 nursing home (NH) residents and 528 older adults receiving home and community-based services (HCBS). MEASUREMENTS: The Preferences for Everyday Living Inventory (PELI) was used to collect consumer preference information. Two versions of the PELI were used-the PELI-NH for NH residents and the PELI-HC for clients receiving HCBS and analysis focused on 41 shared items between the 2 versions. All respondents answered PELI questions independently and rated the importance of psychosocial preference items on a scale from not at all to a lot/very important. RESULTS: Ten preferences were shared as being important or very important by NH residents and older adults receiving HCBS. Most notably, more than 90% of respondents in each group rated "having regular contact with family" as an important priority. Having privacy, choices about what to eat, when to bathe, and activity options also were important preferences for a majority (77%-93%) in both settings. CONCLUSION: Providers seeking to incorporate preference-based care can utilize study results as a foundation to incorporating important preferences into the care delivery process at the organizational level across care settings. For example, assessing all consumers on this core set of 10 shared preferences can assist with relationship building, transitions in care, and quality improvement. However, preferences with aggregate low-rated levels of importance in this study should not be discredited or eliminated. It is important for providers to understand the unique preference inventory of each older adult, which can then be targeted toward meeting goals for preference fulfillment. This can aid in bringing preferences into practice to improve the quality of care and quality of life to best meet the psychosocial needs of each person.

The Nursing Home Five Star Rating: How Does It Compare to Resident and Family Views of Care?

PURPOSE OF THE STUDY: In 2008, the Centers for Medicare and Medicaid Services (CMS) implemented a five-star rating system of nursing homes in the United States. These star ratings have been widely publicized both by CMS and the national and state media. Although the components of the star rating system take into account various dimensions of quality, satisfaction of nursing home residents and their families is not taken into consideration. DESIGN AND METHODS: The current study compares the CMS star rating system to nursing home satisfaction data reported by residents and their families in Ohio. RESULTS: Findings indicate that the star rating system does not adequately reflect consumer satisfaction. IMPLICATIONS: We recommend that the star system be refined to include a consumer component.