Relationship between staff and quality of care in care homes: StaRQ mixed methods study.

Background: Quality of life and care varies between and within the care homes in which almost half a million older people live and over half a million direct care staff (registered nurses and care assistants) work. The reasons are complex, understudied and sometimes oversimplified, but staff and their work are a significant influence. Objective(s): To explore variations in the care home nursing and support workforce; how resident and relatives' needs in care homes are linked to care home staffing; how different staffing models impact on care quality, outcomes and costs; how workforce numbers, skill mix and stability meet residents' needs; the contributions of the care home workforce to enhancing quality of care; staff relationships as a platform for implementation by providers. Design: Mixed-method (QUAL-QUANT) parallel design with five work packages. WP1 - two evidence syntheses (one realist); WP2 - cross-sectional survey of routine staffing and rated quality from care home regulator; WP3 - analysis of longitudinal data from a corporate provider of staffing characteristics and quality indicators, including safety; WP4 - secondary analysis of care home regulator reports; WP5 - social network analysis of networks likely to influence quality innovation. We expressed our synthesised findings as a logic model. Setting: English care homes, with and without nursing, with various ownership structures, size and location, with varying quality ratings. Participants: Managers, residents, families and care home staff. Findings: Staffing's contribution to quality and personalised care requires: managerial and staff stability and consistency; sufficient staff to develop 'familial' relationships between staff and residents, and staff-staff reciprocity, 'knowing' residents, and skills and competence training beyond induction; supported, well-led staff seeing modelled behaviours from supervisors; autonomy to act. Outcome measures that capture the relationship between staffing and quality include: the extent to which resident needs and preferences are met and culturally appropriate; resident and family satisfaction; extent of residents living with purpose; safe care (including clinical outcomes); staff well-being and job satisfaction were important, but underacknowledged. Limitations: Many of our findings stem from self-reported and routine data with known biases - such as under reporting of adverse incidents; our analysis may reflect these biases. COVID-19 required adapting our original protocol to make it feasible. Consequently, the effects of the pandemic are reflected in our research methods and findings. Our findings are based on data from a single care home operator and so may not be generalised to the wider population of care homes. Conclusions: Innovative and multiple methods and theory can successfully highlight the nuanced relationship between staffing and quality in care homes. Modifiable characteristics such as visible philosophies of care and high-quality training, reinforced by behavioural and relational role modelling by leaders can make the difference when sufficient amounts of consistent staff are employed. Greater staffing capacity alone is unlikely to enhance quality in a cost-effective manner. Social network analysis can help identify the right people to aid adoption and spread of quality and innovation. Future research should focus on richer, iterative, evaluative testing and development of our logic model using theoretically and empirically defensible - rather than available - inputs and outcomes. Study registration: This study is registered as PROSPERO CRD42021241066 and Research Registry registration: 1062. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 15/144/29) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 8. See the NIHR Funding and Awards website for further award information.

This study was about the relationship between staffing and quality in care homes. Almost half a million older people live in care homes in England. Why quality of care and quality of life for residents vary so much between and within homes is unknown, but staff and the ways they work are likely to be important. Researching staffing and quality is difficult: quality means different things to different people and a lot of things shape how quality feels to residents, families and staff. In the past, researchers have oversimplified the problem to study it and may have missed important influences. We took a more complex view. In five interlinked work packages, we collected and analysed: (1) research journal articles; (2) national data from different care homes; (3) data from a large care organisation to look at what it is about staffing that influences quality; (4) reports and ratings of homes from the Care Quality Commission; and (5) we looked at the networks between staff in homes that shape how quality improvement techniques might spread. We used theories about how our findings might be linked to plan for this data collection and analysis. The results were combined into something called a 'logic model' ­ a diagram and explanation that make it easier for managers, researchers and people interested in care homes to see how staffing influences quality. Staffing considerations that might improve quality include: not swapping managers too much; having sufficient and consistent staff for family-like relationships in homes and putting residents' needs first; supporting staff and giving them freedom to act; and key staff leading by example. Research examining care home quality should capture those aspects that mean the most to residents, their families and staff.

Activity provider-facilitated patient and public involvement with care home residents.

BACKGROUND: In care home research, residents are rarely included in patient and public involvement and engagement (PPIE) despite their lived experiences of day-to-day care. This paper reports on a novel approach to PPIE, developed in response to Covid-19, and utilised in a large UK-based study focused on care homes. PPIE sessions were facilitated on behalf of the research team by Activity Providers (APs) already working within the care homes. This paper provides an account of how PPIE with care home residents can be achieved. METHODS: An exploratory design was used to see if it was possible to support "in-house" PPIE, with researchers working at a distance in partnership with care home staff. The National Activity Providers Association recruited five APs working in care homes. A series of optional discussion or activity sessions were developed by the research team in partnership with APs, tailored to reflect the research topics of interest and to make sessions accessible to residents with differing needs. RESULTS: APs facilitated four rounds of PPIE with up to 56 residents per topic, including individuals living with cognitive and communication impairments. Topics discussed included residents' views on data use, measuring quality of life and the prioritisation of care-related data for study collection. Feedback from the residents was observed to have unexpected and positive changes to participating care homes' practice. APs valued participation and working with researchers. They identified acquisition of new skills and insights into residents' thoughts and preferences as direct benefits. Challenges included time pressures on APs and managing emotive feedback. APs were able to approach residents at times convenient to them and in ways that best suited their individual needs. PPIE with residents provided different perspectives, particularly with respect to the importance of different types of data, and constructive challenge about some of the research team's assumptions. CONCLUSIONS: PPIE with APs as research partners is a promising approach to working in an inclusive and participatory way with care home residents. The voices of older care home residents, including those living with cognitive or communicative impairments, are important for the successful and meaningful completion of research.

In recent years there has been increasing interest in research relating to care homes. It is relatively rare that care home residents are given the chance to influence this research; often, family members or care home staff are asked to speak on their behalf. Research can influence residents' future care, and it is important to find ways of involving residents in research that are meaningful and enjoyable. This research paper discusses a new approach to involving care home residents in research. It begins by recounting how the approach came about, then covers how well it has worked so far, finally reflecting on the benefits and challenges of working in a new way. The researchers originally planned to go into care homes themselves to speak to residents, but with the onset of the Covid-19 pandemic this was no longer possible. Instead, Activity Providers already working in care homes were recruited via the National Activity Providers Association (NAPA) to help. They used activities and discussion prompts developed with the research team to speak to residents about the study. The research team hoped to make getting involved in research meaningful and interesting for residents. The team also wanted to make sure that as many people as possible living with conditions like dementia could get involved too. Comments and suggestions from residents were fed back to the research team to help them make decisions about how the research should be done.

Outcome measures from international older adult care home intervention research: a scoping review.

BACKGROUND: Care homes are increasingly important settings for intervention research to enhance evidence-informed care. For such research to demonstrate effectiveness, it is essential that measures are appropriate for the population, setting and practice contexts. OBJECTIVE: To identify care home intervention studies and describe the resident outcome measures used. DESIGN: Scoping review. METHODS: We reviewed international care home research published from 2015 to August 2022. We searched MEDLINE, EMBASE, CINAHL and ASSIA. We included any intervention study conducted in a care home, reporting resident outcomes. We extracted resident outcome measures, organised these using the domains of an adapted framework and described their use. RESULTS: From 7,330 records screened, we included 396 datasets reported in 436 publications. These included 12,167 care homes and 836,842 residents, with an average of 80 residents per study. The studies evaluated 859 unique resident outcomes 2,030 times using 732 outcome measures. Outcomes were evaluated between 1 and 112 times, with 75.1% of outcomes evaluated only once. Outcome measures were used 1-120 times, with 68.4% of measures used only once. Only 14 measures were used ≥20 times. Functional status, mood & behaviour and medications were the commonest outcome domains assessed. More than half of outcomes were assessed using scales, with a fifth using existing records or administrative data. CONCLUSIONS: There is significant heterogeneity in the choice and assessment of outcomes for intervention research in care homes. There is an urgent need to develop a consensus on useful and sensitive tools for care homes, working with residents, families and friends and staff.

Piloting of a minimum data set for older people living in care homes in England: protocol for a longitudinal, mixed-methods study.

INTRODUCTION: Health and care data are routinely collected about care home residents in England, yet there is no way to collate these data to inform benchmarking and improvement. The Developing research resources And minimum data set for Care Homes' Adoption and use study has developed a prototype minimum data set (MDS) for piloting. METHODS AND ANALYSIS: A mixed-methods longitudinal pilot study will be conducted in 60 care homes (approximately 960 residents) in 3 regions of England, using resident data from cloud-based digital care home records at two-time points. These will be linked to resident and care home level data held within routine National Health Service and social care data sets. Two rounds of focus groups with care home staff (n=8-10 per region) and additional interviews with external stakeholders (n=3 per region) will explore implementation and the perceived utility of the MDS. Data will be assessed for completeness and timeliness of completion. Descriptive statistics, including percentage floor and ceiling effects, will establish data quality. For validated scales, construct validity will be assessed by hypothesis testing and exploratory factor analysis will establish structural validity. Internal consistency will be established using Cronbach's alpha. Longitudinal analysis of the pilot data will demonstrate the value of the MDS to each region. Qualitative data will be analysed inductively using thematic analysis to understand the complexities of implementing an MDS in care homes for older people. ETHICS AND DISSEMINATION: The study has received ethical approval from the London Queen's Square Research Ethics Committee (22/LO/0250). Informed consent is required for participation. Findings will be disseminated to: academics working on data use and integration in social care, care sector organisations, policy makers and commissioners. Findings will be published in peer-reviewed journals. Partner NIHR Applied Research Collaborations, the National Care Forum and the British Geriatrics Society will disseminate policy briefs.

A qualitative exploration of the clinical presentation, trajectory, management and recovery of COVID-19 in older people: Learning from frontline staff experiences.

COVID-19 had a devastating impact on older people living in care homes. This study explored the clinical trajectory and management of COVID-19, as well as recovery of older people following infection during the early stages of the pandemic (May to August 2020). A two-phase exploratory qualitative study was used. Frontline staff with experience of caring for older people with COVID-19 were recruited to Phase 1, and senior care home operational and quality managers were recruited to Phase 2. During Phase 1 remote semi-structured interviews (n = 35) were carried out with staff working in care homes, hospital and community settings in England. During Phase 2, a remote consultation event was carried out with senior care home operational and quality managers (n = 11) to share Phase 1 findings and check resonance, relevance and gaps. Data were analysed using Framework Analysis. Older people with COVID-19 presented with wide ranging symptoms, and an unpredictable illness trajectory. The wide range of COVID-19 symptoms required timely testing and supportive interventions. Staff used different interventions to manage symptoms and reported uncertainties of how individuals would respond. In care home settings, health and social care staff needed to work together when administering interventions such as subcutaneous fluids or oxygen therapy. Alongside symptom management, supportive care focused on nutrition and hydration, social interaction, and maintaining physical activity to meet both physical and emotional needs. The effects of prolonged periods of social isolation and inactivity on the health and well-being of older people means rehabilitation is essential to enhance physical and emotional recovery, and to minimise impacts on cognition and function. The pandemic highlighted important areas for care of this population.

Developing a minimum data set for older adult care homes in the UK: exploring the concept and defining early core principles.

Reforms to social care in response to the COVID-19 pandemic, in the UK and internationally, place data at the heart of proposed innovations and solutions. The principles are not well established of what constitutes core, or minimum, data to support care home residents. Often, what is included privileges data on resident health over day-to-day care priorities and quality of life. This Personal View argues for evidence-based principles on which to base the development of a UK minimum data set (MDS) for care homes. Co-produced work involving care home staff and older people working with stakeholders is required to define and agree the format, content, structure, and operationalisation of the MDS. Implementation decisions will determine the success of the MDS, affecting aspects including data quality, completeness, and usability. Care home staff who collect the data need to benefit from the MDS and see value in their contribution, and residents must derive benefit from data collection and synthesis.

Contextual factors influencing complex intervention research processes in care homes: a systematic review and framework synthesis.

BACKGROUND: Care homes are complex settings to undertake intervention research. Barriers to research implementation processes can threaten studies' validity, reducing the value to residents, staff, researchers and funders. We aimed to (i) identify and categorise contextual factors that may mediate outcomes of complex intervention studies in care homes and (ii) provide recommendations to minimise the risk of expensive research implementation failures. METHODS: We conducted a systematic review using a framework synthesis approach viewed through a complex adaptive systems lens. We searched: MEDLINE, Embase, CINAHL, ASSIA databases and grey literature. We sought process evaluations of care home complex interventions published in English. Narrative data were indexed under 28 context domains. We performed an inductive thematic analysis across the context domains. RESULTS: We included 33 process evaluations conducted in high-income countries, published between 2005 and 2019. Framework synthesis identified barriers to implementation that were more common at the task and organisational level. Inductive thematic analysis identified (i) avoiding procedural drift and (ii) participatory action and learning as key priorities for research teams. Research team recommendations include advice for protocol design and care home engagement. Care home team recommendations focus on internal resources and team dynamics. Collaborative recommendations apply to care homes' individual context and the importance of maintaining positive working relationships. DISCUSSION: Researchers planning and undertaking research with care homes need a sensitive appreciation of the complex care home context. Study implementation is most effective where an intervention is co-produced, with agreed purpose and adequate resources to incorporate within existing routines and care practices.

The uptake and use of a minimum data set (MDS) for older people living and dying in care homes: a realist review.

BACKGROUND: Care homes provide long term care for older people. Countries with standardised approaches to residents' assessment, care planning and review (known as minimum data sets (MDS)) use the aggregate data to guide resource allocation, monitor quality, and for research. Less is known about how an MDS affects how staff assess, provide and review residents' everyday care. The review aimed to develop a theory-driven understanding of how care home staff can effectively implement and use MDS to plan and deliver care for residents. METHODS: The realist review was organised according to RAMESES (Realist And Meta-narrative Evidence Synthesis: and Evolving Standards) guidelines. There were three overlapping stages: 1) defining the scope of the review and theory development on the use of minimum data set 2) testing and refining candidate programme theories through iterative literature searches and stakeholders' consultations as well as discussion among the research team; and 3) data synthesis from stages 1 and 2. The following databases were used MEDLINE via OVID, Embase, CINAHL (Cumulative Index to Nursing and Allied Health Literature), ASSIA [Applied Social Sciences Citation Index and Abstracts]) and sources of grey literature. RESULTS: Fifty-one papers informed the development of three key interlinked theoretical propositions: motivation (mandates and incentives for Minimum Data Set completion); frontline staff monitoring (when Minimum Data Set completion is built into the working practices of the care home); and embedded recording systems (Minimum Data Set recording system is integral to collecting residents' data). By valuing the contributions of staff and building on existing ways of working, the uptake and use of an MDS could enable all staff to learn with and from each other about what is important for residents' care CONCLUSIONS: Minimum Data Sets provides commissioners service providers and researchers with standardised information useful for commissioning planning and analysis. For it to be equally useful for care home staff it requires key activities that address the staff experiences of care, their work with others and the use of digital technology. REGISTRATION: PROSPERO registration number CRD42020171323.

Understanding the staff behaviours that promote quality for older people living in long term care facilities: A realist review.

BACKGROUND: Little is known about how the workforce influences quality in long term care facilities for older people. Staff numbers are important but do not fully explain this relationship. OBJECTIVES: To develop theoretical explanations for the relationship between long-term care facility staffing and quality of care as experienced by residents. DESIGN: A realist evidence synthesis to understand staff behaviours that promote quality of care for older people living in long-term care facilities. SETTING: Long-term residential care facilities PARTICIPANTS: Long-term care facility staff, residents, and relatives METHODS: The realist review, (i) was co-developed with stakeholders to determine initial programme theories, (ii) systematically searched the evidence to test and develop theoretical propositions, and (iii) validated and refined emergent theory with stakeholder groups. RESULTS: 66 research papers were included in the review. Three key findings explain the relationship between staffing and quality: (i) quality is influenced by staff behaviours; (ii) behaviours are contingent on relationships nurtured by long-term care facility environment and culture; and (iii) leadership has an important influence on how organisational resources (sufficient staff effectively deployed, with the knowledge, expertise and skills required to meet residents' needs) are used to generate and sustain quality-promoting relationships. Six theoretical propositions explain these findings. CONCLUSION: Leaders (at all levels) through their role-modelling behaviours can use organisational resources to endorse and encourage relationships (at all levels) between staff, residents, co-workers and family (relationship centred care) that constitute learning opportunities for staff, and encourage quality as experienced by residents and families.

How quality improvement collaboratives work to improve healthcare in care homes: a realist evaluation.

BACKGROUND: Quality improvement collaboratives (QICs) bring together multidisciplinary teams in a structured process to improve care quality. How QICs can be used to support healthcare improvement in care homes is not fully understood. METHODS: A realist evaluation to develop and test a programme theory of how QICs work to improve healthcare in care homes. A multiple case study design considered implementation across 4 sites and 29 care homes. Observations, interviews and focus groups captured contexts and mechanisms operating within QICs. Data analysis classified emerging themes using context-mechanism-outcome configurations to explain how NHS and care home staff work together to design and implement improvement. RESULTS: QICs will be able to implement and iterate improvements in care homes where they have a broad and easily understandable remit; recruit staff with established partnership working between the NHS and care homes; use strategies to build relationships and minimise hierarchy; protect and pay for staff time; enable staff to implement improvements aligned with existing work; help members develop plans in manageable chunks through QI coaching; encourage QIC members to recruit multidisciplinary support through existing networks; facilitate meetings in care homes and use shared learning events to build multidisciplinary interventions stepwise. Teams did not use measurement for change, citing difficulties integrating this into pre-existing and QI-related workload. CONCLUSIONS: These findings outline what needs to be in place for health and social care staff to work together to effect change. Further research needs to consider ways to work alongside staff to incorporate measurement for change into QI.

SEeking AnsweRs for Care Homes during the COVID-19 pandemic (COVID SEARCH).

The care and support of older people residing in long-term care facilities during the COVID-19 pandemic has created new and unanticipated uncertainties for staff. In this short report, we present our analyses of the uncertainties of care home managers and staff expressed in a self-formed closed WhatsApp™ discussion group during the first stages of the pandemic in the UK. We categorised their wide-ranging questions to understand what information would address these uncertainties and provide support. We have been able to demonstrate that almost one-third of these uncertainties could have been tackled immediately through timely, responsive and unambiguous fact-based guidance. The other uncertainties require appraisal, synthesis and summary of existing evidence, commissioning or provision of a sector- informed research agenda for medium to long term. The questions represent wider internationally relevant care home pandemic-related uncertainties.

Uptake and use of a minimum data set (MDS) for older people living and dying in care homes in England: a realist review protocol.

INTRODUCTION: Care homes provide nursing and social care for older people who can no longer live independently at home. In the UK, there is no consistent approach to how information about residents' medical history, care needs and preferences are collected and shared. This limits opportunities to understand the care home population, have a systematic approach to assessment and documentation of care, identifiy care home residents at risk of deterioration and review care. Countries with standardised approaches to residents' assessment, care planning and review (eg, minimum data sets (MDS)) use the data to understand the care home population, guide resource allocation, monitor services delivery and for research. The aim of this realist review is to develop a theory-driven understanding of how care home staff implement and use MDS to plan and deliver care of individual residents. METHODS AND ANALYSIS: A realist review will be conducted in three research stages.Stage 1 will scope the literature and develop candidate programme theories of what ensures effective uptake and sustained implementation of an MDS.Stage2 will test and refine these theories through further iterative searches of the evidence from the literature to establish how effective uptake of an MDS can be achieved.Stage 3 will consult with relevant stakeholders to test or refine the programme theory (theories) of how an MDS works at the resident level of care for different stakeholders and in what circumstances. Data synthesis will use realist logic to align data from each eligible article with possible context-mechanism-outcome configurations or specific elements that answer the research questions. ETHICS AND DISSEMINATION: The University of Hertfordshire Ethics Committee has approved this study (HSK/SF/UH/04169). Findings will be disseminated through briefings with stakeholders, conference presentations, a national consultation on the use of an MDS in UK long-term care settings, publications in peer-reviewed journals and in print and social media publications accessible to residents, relatives and care home staff. PROSPERO REGISTRATION NUMBER: CRD42020171323; this review protocol is registered on the International Prospective Register of Systematic Reviews.

Improving the Quality of Care in Care Homes Using the Quality Improvement Collaborative Approach: Lessons Learnt from Six Projects Conducted in the UK and The Netherlands.

The Breakthrough Series Quality Improvement Collaborative (QIC) initiative is a well-developed and widely used approach, but most of what we know about it has come from healthcare settings. In this article, those leading QICs to improve care in care homes provide detailed accounts of six QICs and share their learning of applying the QIC approach in the care home sector. Overall, five care home-specific lessons were learnt: (i) plan for the resources needed to support collaborative teams with collecting, processing, and interpreting data; (ii) create encouraging and safe working environments to help collaborative team members feel valued; (iii) recruit collaborative teams, QIC leads, and facilitators who have established relationships with care homes; (iv) regularly check project ideas are aligned with team members' job roles, responsibilities, and priorities; and (v) work flexibly and accept that planned activities may need adapting as the project progresses. These insights are targeted at teams delivering QICs in care homes. These insights demonstrate the need to consider the care home context when applying improvement tools and techniques in this setting.

Commentary: COVID in care homes-challenges and dilemmas in healthcare delivery.

The COVID-19 pandemic has disproportionately affected care home residents internationally, with 19-72% of COVID-19 deaths occurring in care homes. COVID-19 presents atypically in care home residents and up to 56% of residents may test positive whilst pre-symptomatic. In this article, we provide a commentary on challenges and dilemmas identified in the response to COVID-19 for care homes and their residents. We highlight the low sensitivity of polymerase chain reaction testing and the difficulties this poses for blanket screening and isolation of residents. We discuss quarantine of residents and the potential harms associated with this. Personal protective equipment supply for care homes during the pandemic has been suboptimal and we suggest that better integration of procurement and supply is required. Advance care planning has been challenged by the pandemic and there is a need to for healthcare staff to provide support to care homes with this. Finally, we discuss measures to implement augmented care in care homes, including treatment with oxygen and subcutaneous fluids, and the frameworks which will be required if these are to be sustainable. All of these challenges must be met by healthcare, social care and government agencies if care home residents and staff are to be physically and psychologically supported during this time of crisis for care homes.

Setting Priorities to Inform Assessment of Care Homes' Readiness to Participate in Healthcare Innovation: A Systematic Mapping Review and Consensus Process.

Organisational context is known to impact on the successful implementation of healthcare initiatives in care homes. We undertook a systematic mapping review to examine whether researchers have considered organisational context when planning, conducting, and reporting the implementation of healthcare innovations in care homes. Review data were mapped against the Alberta Context Tool, which was designed to assess organizational context in care homes. The review included 56 papers. No studies involved a systematic assessment of organisational context prior to implementation, but many provided post hoc explanations of how organisational context affected the success or otherwise of the innovation. Factors identified to explain a lack of success included poor senior staff engagement, non-alignment with care home culture, limited staff capacity to engage, and low levels of participation from health professionals such as general practitioners (GPs). Thirty-five stakeholders participated in workshops to discuss findings and develop questions for assessing care home readiness to participate in innovations. Ten questions were developed to initiate conversations between innovators and care home staff to support research and implementation. This framework can help researchers initiate discussions about health-related innovation. This will begin to address the gap between implementation theory and practice.

Exploring a Common Data Element for International Research in Long-Term Care Homes: A Measure for Evaluating Nursing Supervisor Effectiveness.

The aim of this study is to recommend a common data element (CDE) to measure supervisory effectiveness of staff working in LTC homes that can be used in international research. Supervisory effectiveness can serve as a CDE in an effort to establish an international, person-centered LTC research infrastructure in accordance with the aims of the WE-THRIVE group (Worldwide Elements to Harmonize Research in Long Term Care Living Environments). A literature review was completed and then a panel of experts independently reviewed and prioritized appropriateness of the measures with mindfulness of their potential applications to international LTC settings. The selection of a recommended CDE measure was guided by the WE-THRIVE group's focus on capacity rather than deficits, the expected availability of internationally comparable data and the goal to provide a short, ecologically viable measurement, specifically for low- and middle-income countries. Two measures were considered as the CDE for supervisory effectiveness, Benjamin Rose Relationship Scale and the Supervisory Support Scale; however, given that the latter measure has been translated in Spanish and Chinese and has been tested with nursing assistants in both of these countries with good psychometric properties, our group recommends it as the CDE going forward.

Assessing Quality for People Living With Dementia in Residential Long-Term Care: Trends and Challenges.

The global prevalence of dementia is growing rapidly, driving an increased use of residential long-term care (LTC) services. Performance indicators for residential LTC should support targeting of limited resources to promote person-centered care, health, and well-being for both patients and caregivers (formal and informal), yet many performance indicators remain focused on structure, process, or outcome measures that are only assumed to support personally relevant outcomes for those with dementia, without direct evidence of meaningfulness for these individuals. In this article, two complementary approaches to assessing quality in residential LTC serve as a lens for examining a series of tensions related to assessment in this setting. These include measurement-focused approaches using generic psychometrically valid instruments, often used to monitor quality of services, and meaning-focused approaches using individual subjective assessment of personally relevant outcomes, often used to monitor care planning. Examples from the European and U.S. literature suggest an opportunity to strengthen an emphasis on personally meaning-focused outcomes in quality assessment.

Recommended Common Data Elements for International Research in Long-Term Care Homes: Exploring the Workforce and Staffing Concepts of Staff Retention and Turnover.

The aim of this review is to develop a common data element for the concept of staff retention and turnover within the domain of workforce and staffing. This domain is one of four core domains identified by the WE-THRIVE (Worldwide Elements to Harmonize Research in Long-Term Care Living Environments) group in an effort to establish an international, person-centered long-term care research infrastructure. A rapid review identified different measurement methods to assess either turnover or retention at facility level or intention to leave or stay at the individual staff level. The selection of a recommended measurement was guided by the WE-THRIVE group's focus on capacity rather than deficits, the expected availability of internationally comparable data, and the goal to provide a short, ecologically viable measurement. We therefore recommend to measure staff's intention to stay with a single item, at the individual staff level. This element, we argue, is an indicator of staff stability, which is important for reduced organizational cost and improved productivity, positive work environment, and better resident-staff relationships and quality of care.

Advancing Long-Term Care Science Through Using Common Data Elements: Candidate Measures for Care Outcomes of Personhood, Well-Being, and Quality of Life.

To support the development of internationally comparable common data elements (CDEs) that can be used to measure essential aspects of long-term care (LTC) across low-, middle-, and high-income countries, a group of researchers in medicine, nursing, behavioral, and social sciences from 21 different countries have joined forces and launched the Worldwide Elements to Harmonize Research in LTC Living Environments (WE-THRIVE) initiative. This initiative aims to develop a common data infrastructure for international use across the domains of organizational context, workforce and staffing, person-centered care, and care outcomes, as these are critical to LTC quality, experiences, and outcomes. This article reports measurement recommendations for the care outcomes domain, focusing on previously prioritized care outcomes concepts of well-being, quality of life (QoL), and personhood for residents in LTC. Through literature review and expert ranking, we recommend nine measures of well-being, QoL, and personhood, as a basis for developing CDEs for long-term care outcomes across countries. Data in LTC have often included deficit-oriented measures; while important, reductions do not necessarily mean that residents are concurrently experiencing well-being. Enhancing measurement efforts with the inclusion of these positive LTC outcomes across countries would facilitate international LTC research and align with global shifts toward healthy aging and person-centered LTC models.