Place of Death for Adults Receiving Specialist Palliative Care in Their Last 3 Months of Life: Factors Associated With Preferred Place, Actual Place, and Place of Death Congruence.

Objectives: Congruence between the preferred and actual place of death is recognised as an important quality indicator in end-of-life care. However, there may be complexities about preferences that are ignored in summary congruence measures. This article examined factors associated with preferred place of death, actual place of death, and congruence for a sample of patients who had received specialist palliative care in the last three months of life in Ireland. Methods: This article analysed merged data from two previously published mortality follow-back surveys: Economic Evaluation of Palliative Care in Ireland (EEPCI); Irish component of International Access, Rights and Empowerment (IARE I). Logistic regression models examined factors associated with (a) preferences for home death versus institutional setting, (b) home death versus hospital death, and (c) congruent versus non-congruent death. Setting: Four regions with differing levels of specialist palliative care development in Ireland. Participants: Mean age 77, 50% female/male, 19% living alone, 64% main diagnosis cancer. Data collected 2011-2015, regression model sample sizes: n = 342-351. Results: Congruence between preferred and actual place of death in the raw merged dataset was 51%. Patients living alone were significantly less likely to prefer home versus institution death (OR 0.389, 95%CI 0.157-0.961), less likely to die at home (OR 0.383, 95%CI 0.274-0.536), but had no significant association with congruence. Conclusions: The findings highlight the value in examining place of death preferences as well as congruence, because preferences may be influenced by what is feasible rather than what patients would like. The analyses also underline the importance of well-resourced community-based supports, including homecare, facilitating hospital discharge, and management of complex (eg, non-cancer) conditions, to facilitate patients to die in their preferred place.

Primary data on symptom burden and quality of life among elderly patients at risk of dying during unplanned admissions to an NHS hospital: a cohort study using EuroQoL and the integrated palliative care outcome scale.

BACKGROUND: Older people account heavily for palliative care needs at the population level and are growing in number as the population ages. There is relatively little high-quality data on symptom burden and quality of life, since these data are not routinely collected, and this group are under-recruited in primary research. It is unclear which measurement tools are best suited to capture burdens and experience. METHODS: We recruited a cohort of 221 patients aged 75 + years with poor prognosis who had an unplanned admission via the emergency department in a large urban hospital in England between 2019 and 2020. Risk of dying was assessed using the CriSTAL tool. We collected primary data and combined these with routine health records. Baseline clinical data and patient reported quality of life outcomes were collected on admission and reassessed within the first 72 h of presentation using two established tools: EQ-5D-5 L, EQ-VAS and the Integrated Palliative Outcomes Scale (IPOS). RESULTS: Completion rate was 68% (n = 151) and 33.1% were known to have died during admission or within 6 months post-discharge. The vast majority (84.8%) reported severe difficulties with at least one dimension of EQ-5D-5 L at baseline and improvements in EQ-VAS observed at reassessment in 51.7%. The baseline IPOS revealed 78.2% of patients rating seven or more items as moderate, severe or overwhelming, but a significant reduction (-3.6, p < 0.001) in overall physical symptom severity and prevalence was also apparent. No significant differences were noted in emotional symptoms or changes in communication/practical issues. IPOS total score at follow up was positively associated with age, having comorbidities (Charlson index score > = 1) and negatively associated with baseline IPOS and CriSTAL scores. CONCLUSION: Older people with poor prognosis admitted to hospital have very high symptom burden compared to population norms, though some improvement following assessment was observed on all measures. These data provide valuable descriptive information on quality of life among a priority population in practice and policy and can be used in future research to identify suitable interventions and model their effects.

Budget monitoring, accountability practices and their influence on the efficiency of county health systems in Kenya.

Public Finance Management (PFM) practices influence the attainment of health system goals. PFM processes are implemented within the budget cycle which entails the formulation, execution, and monitoring of government budgets. Budget monitoring and accountability actors, structures, and processes are important in improving the efficiency of health systems. This study examined how the budget monitoring and accountability processes influence the efficiency of county health systems in KenyaWe conducted a qualitative case study of four counties in Kenya selected based on their relative technical efficiency. We collected data using in-depth interviews with health and finance stakeholders (n = 70), and document reviews. We analyzed data using a thematic approach, informed by our study conceptual framework. We found that weak budget monitoring and accountability mechanisms compromised county health system efficiency by a) weakening the effective implementation of the budget formulation and execution steps of the budget cycle, b) enabling the misappropriation of public resources, and c) limiting evidence-informed decision-making by weakening feedback that would be provided by effective monitoring and accountability. Devolution meant that accountability actors were closer to implementation actors which promoted timely problem solving and the relevance of solutions. Internal audit practices were supportive and provided useful feedback to health system managers that facilitated improvements in budget formulation and execution. The efficiency of county health systems can be improved by strengthening the budget monitoring and accountability processes. This can be achieved by increasing the population's budget literacy, supporting participatory budgeting, synchronizing performance and financial accountability, implementing the existent budget monitoring and accountability mechanisms, rewarding efficiency, and sanctioning inefficiency.

Formal health care costs among older people in Ireland: methods and estimates using The Irish Longitudinal Study on Ageing (TILDA).

Background: Reliable data on health care costs in Ireland are essential to support planning and evaluation of services. New unit costs and high-quality utilisation data offer the opportunity to estimate individual-level costs for research and policy. Methods: Our main dataset was The Irish Longitudinal Study on Ageing (TILDA). We used participant interviews with those aged 55+ years in Wave 5 (2018) and all end-of-life interviews (EOLI) to February 2020. We weighted observations by age, sex and last year of life at the population level. We estimated total formal health care costs by combining reported usage in TILDA with unit costs (non-acute care) and public payer reimbursement data (acute hospital admissions, medications). All costs were adjusted for inflation to 2022, the year of analysis. We examined distribution of estimates across the population, and the composition of costs across categories of care, using descriptive statistics. We identified factors associated with total costs using generalised linear models. Results: There were 5,105 Wave 5 observations, equivalent at the population level to 1,207,660 people aged 55+ years and not in the last year of life, and 763 EOLI observations, equivalent to 28,466 people aged 55+ years in the last year of life. Mean formal health care costs in the weighted sample were EUR 8,053; EUR 6,624 not in the last year of life and EUR 68,654 in the last year of life. Overall, 90% of health care costs were accounted for by 20% of users. Multiple functional limitations and proximity to death were the largest predictors of costs. Other factors that were associated with outcome included educational attainment, entitlements to subsidised care and serious chronic diseases. Conclusions: Understanding the patterns of costs, and the factors associated with very high costs for some individuals, can inform efforts to improve patient experiences and optimise resource allocation.

Use of information communication technologies by older people and telemedicine adoption during COVID-19: a longitudinal study.

OBJECTIVES: To investigate how information communication technology (ICT) factors relate to the use of telemedicine by older people in Ireland during the pandemic in 2020. Furthermore, the paper tested whether the supply of primary care, measured by General Practitioner's (GP) accessibility, influenced people's telemedicine options. METHOD: Based on 2 waves from The Irish Longitudinal Study on Ageing, a nationally representative sample, multivariate logistic models were applied to examine the association between pre-pandemic use of ICTs and telemedicine usage (GP, pharmacist, hospital doctor), controlling for a series of demographic, health, and socioeconomic characteristics. RESULTS: Previously reported having Internet access was a statistically positive predictor for telemedicine usage. The availability of high-speed broadband Internet did not exhibit a statistical association. The association was more prominent among those under 70 years old and non-Dublin urban areas. People with more chronic conditions, poorer mental health, and private health insurance had higher odds of using telemedicine during the period of study. No clear pattern between telemedicine use and differential geographic access to GP was found. DISCUSSION: The important role of ICT access and frequent engagement with the Internet in encouraging telemedicine usage among older adults was evidenced. CONCLUSION: Internet access was a strong predictor for telemedicine usage. We found no evidence of a substitution or complementary relationship between telemedicine and in-person primary care access.

Integrated Short-term Palliative Rehabilitation to improve quality of life and equitable care access in incurable cancer (INSPIRE): a multinational European research project.

Background: Disability related to incurable cancer affects over a million Europeans each year and people with cancer rank loss of function among the most common unmet supportive care needs. Objectives: To test the clinical and cost-effectiveness of an integrated short-term palliative rehabilitation intervention, to optimise function and quality of life in people affected by incurable cancer. Design: This is a multinational, parallel group, randomised, controlled, assessor blind, superiority trial. Methods: The INSPIRE consortium brings together leaders in palliative care, oncology and rehabilitation from partner organisations across Europe, with complementary expertise in health service research, trials of complex interventions, mixed-method evaluations, statistics and economics. Partnership with leading European civil society organisations ensures citizen engagement and dissemination at the highest level. We will conduct a multinational randomised controlled trial across five European countries, recruiting participants to assess the effectiveness of palliative rehabilitation for people with incurable cancer on the primary outcome - quality of life - and secondary outcomes including disability, symptom burden and goal attainment. To support trial conduct and enhance analysis of trial data, we will also conduct: comparative analysis of current integration of rehabilitation across oncology and palliative care services; mixed-method evaluations of equity and inclusivity, processes and implementation for the intervention, at patient, health service and health system levels. Finally, we will conduct an evidence synthesis, incorporating INSPIRE findings, and a Delphi consensus to develop an international framework for palliative rehabilitation practice and policy, incorporating indicators, core interventions, outcomes and integration methods. Scientific contribution: If positive, the trial could produce a scalable and equitable intervention to improve function and quality of life in people with incurable cancer and reduce the burden of care for their families. It could also upskill the practitioners involved and motivate future research questions. The intervention could be adapted and integrated into different health systems using existing staff and services, with little or no additional cost.

Expanding health technology assessment towards broader value: Ireland as a case study.

Healthcare innovations often represent important improvements in population welfare, but at what cost, and to whom? Health technology assessment (HTA) is a multidisciplinary process to inform resource allocation. HTA is conventionally anchored on health maximization as the only relevant output of health services. If we accept the proposition that health technologies can generate value outside the healthcare system, resource allocation decisions could be suboptimal from a societal perspective. Incorporating "broader value" in HTA as derived from social values and patient experience could provide a richer evaluative space for informing resource allocation decisions. This article considers how HTA is practiced and what its current context implies for adopting "broader value" to evaluating health technologies. Methodological challenges are highlighted, as is a future research agenda. Ireland serves as an example of a healthcare system that both has an explicit role for HTA and is evolving under a current program of reform to offer universal, single-tier access to public services. There are various ways in which HTA processes could move beyond health, including considering the processes of care delivery and/or expanding the evaluative space to some broader concept of well-being. Methods to facilitate the latter exist, but their adaptation to HTA is still emerging. We recommend a multi-stakeholder working group to develop and advance an international agenda for HTA that captures welfare/benefit beyond health.

Examining the influence of health sector coordination on the efficiency of county health systems in Kenya.

BACKGROUND: Health systems are complex, consisting of multiple interacting structures and actors whose effective coordination is paramount to enhancing health system goals. Health sector coordination is a potential source of inefficiency in the health sector. We examined how the coordination of the health sector affects health system efficiency in Kenya. METHODS: We conducted a qualitative cross-sectional study, collecting data at the national level and in two purposely selected counties in Kenya. We collected data using in-depth interviews (n = 37) with national and county-level respondents, and document reviews. We analyzed the data using a thematic approach. RESULTS: The study found that while formal coordination structures exist in the Kenyan health system, duplication, fragmentation, and misalignment of health system functions and actor actions compromise the coordination of the health sector. These challenges were observed in both vertical (coordination within the ministry of health, within the county departments of health, and between the national ministry of health and the county department of health) and horizontal coordination mechanisms (coordination between the ministry of health or the county department of health and non-state partners, and coordination among county governments). These coordination challenges are likely to impact the efficiency of the Kenyan health system by increasing the transaction costs of health system functions. Inadequate coordination also impairs the implementation of health programmes and hence compromises health system performance. CONCLUSION: The efficiency of the Kenyan health system could be enhanced by strengthening the coordination of the Kenyan health sector. This can be achieved by aligning and harmonizing the intergovernmental and health sector-specific coordination mechanisms, strengthening the implementation of the Kenya health sector coordination framework at the county level, and enhancing donor coordination through common funding arrangements and integrating vertical disease programs with the rest of the health system. The ministry of health and county departments of health should also review internal organizational structures to enhance functional and role clarity of organizational units and staff, respectively. Finally, counties should consider initiating health sector coordination mechanisms between counties to reduce the fragmentation of health system functions across neighboring counties.

Examining the influence of budget execution processes on the efficiency of county health systems in Kenya.

Public financial management (PFM) processes are a driver of health system efficiency. PFM happens within the budget cycle which entails budget formulation, execution and accountability. At the budget execution phase, budgets are implemented by spending as planned to generate a desired output or outcome. Understanding how the budget execution processes influence the use of inputs and the outcomes that result is important for maximizing efficiency. This study sought to explain how the budget execution processes influence the efficiency of health systems, an area that is understudied, using a case study of county health systems in Kenya. We conducted a concurrent mixed methods case study using counties classified as relatively efficient (n = 2) and relatively inefficient (n = 2). We developed a conceptual framework from a literature review to guide the development of tools and analysis. We collected qualitative data through document reviews and in-depth interviews (n = 70) with actors from health and finance sectors at the national and county level. We collected quantitative data from secondary sources, including budgets and budget reports. We analysed qualitative data using the thematic approach and carried out descriptive analyses on quantitative data. The budget execution processes within counties in Kenya were characterized by poor budget credibility, cash disbursement delays, limited provider autonomy and poor procurement practices. These challenges were linked to an inappropriate input mix that compromised the capacity of county health systems to deliver health-care services, misalignment between county health needs and the use of resources, reduced staff motivation and productivity, procurement inefficiencies and reduced county accountability for finances and performance. The efficiency of county health systems in Kenya can be enhanced by improving budget credibility, cash disbursement processes, procurement processes and provider autonomy.

Patient-reported outcome measures for advanced cancer in China: A systematic review of cross-cultural adaptation and psychometric properties.

BACKGROUND: The number of patients with advanced cancer in China is rapidly increasing. As services and policy evolve, it is essential to improve the quality of care by measuring outcomes of importance to patients and families by identifying patient-reported outcome measures (PROMs) for use with advanced cancer patients in China, and critically appraising their cross-cultural adaptation process and measurement properties. METHODS: A systematic review was conducted in accordance with COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN), with quality assessment using the Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures and COSMIN quality criteria for measurement properties. MEDLINE, EMBASE, PsycINFO, CINAHL, CNKI and WanFang were systematically searched from inception to May 2019, updated to August 2022. Supplemental searches were conducted in grey literature databases, Google scholar and hand-searching of reference lists. RESULTS: From 10793 articles, 437 were selected for full-text review based on titles and abstracts. A total of 46 studies reporting 39 PROMs were retained. No articles were rated as "good quality" in more than four of the six stages of cross-cultural adaptation. At least half of the required information on psychometric properties was missing for each measure. Based on COSMIN, none identified PROMs were valid across all properties nor appropriate to use. CONCLUSION: There is currently no contextually appropriate and psychometrically sound PROMs for advanced cancer patients in China. The psychometric literature suggest that adaptation of existing measures is the potential solution. POLICY SUMMARY: Developing outcome measures for advanced cancer patients in China is invaluable to improve audit, clinical services and assess the quality of care, for research purposes and secure funding. Future research in measures' development, refinement and cross-cultural adaptation in this field is urgently needed.

Analysing the Efficiency of Health Systems: A Systematic Review of the Literature.

BACKGROUND: Efficiency refers the use of resources in ways that optimise desired outcomes. Health system efficiency is a priority concern for policy makers globally as countries aim to achieve universal health coverage, and face the additional challenge of an aging population. Efficiency analysis in the health sector has typically focused on the efficiency of healthcare facilities (hospitals, primary healthcare facilities), with few studies focusing on system level (national or sub-national) efficiency. We carried out a thematic review of literature that assessed the efficiency of health systems at the national and sub-national level. METHODS: We conducted a systematic search of PubMed and Google scholar between 2000 and 2021 and a manual search of relevant papers selected from their reference lists. A total of 131 papers were included. We analysed and synthesised evidence from the selected papers using a thematic approach (selecting, sorting, coding and charting collected data according to identified key issues and themes). FINDINGS: There were more publications from high- and upper middle-income countries (53%) than from low-income and lower middle-income countries. There were also more publications focusing on national level (60%) compared to sub-national health systems' efficiency. Only 6% of studies used either qualitative methods or mixed methods while 94% used quantitative approaches. Data envelopment analysis, a non-parametric method, was the most common methodological approach used, followed by stochastic frontier analysis, a parametric method. A range of regression methods were used to identify the determinants of health system efficiency. While studies used a range of inputs, these generally considered the building blocks of health systems, health risk factors, and social determinants of health. Outputs used in efficiency analysis could be classified as either intermediate health service outputs (e.g., number of health facility visits), single health outcomes (e.g., infant mortality rate) or composite indices of either intermediate outputs of health outcomes (e.g., Health Adjusted Life Expectancy). Factors that were found to affect health system efficiency include demographic and socio-economic characteristics of the population, macro-economic characteristics of the national and sub-national regions, population health and wellbeing, the governance and political characteristics of these regions, and health system characteristics. CONCLUSION: This review highlights the limited evidence on health system efficiency, especially in low- and middle-income countries. It also reveals the dearth of efficiency studies that use mixed methods approaches by incorporating qualitative inquiry. The review offers insights on the drivers of the efficiency of national and sub-national health systems, and highlights potential targets for reforms to improve health system efficiency.

The price of private dental services: results from a national representative survey of Ireland.

INTRODUCTION: Dental services in Ireland are delivered in a mixed public-private system but the majority of dental care is paid for out-of-pocket by individuals. Ireland is not unusual in the global context where public subsidisation for oral healthcare is limited in many countries. This is despite the fact that oral health plays an important role in well-being and despite international evidence on the negative impact of user fees on utilisation of beneficial healthcare. However, there has been little up-to-date assessment of the prices faced by individuals for a range of non-acute care services in Ireland, including dental care. This paper presents an up-to-date assessment of private dental prices in Ireland for a range of preventive, primary, and complex services based on a nationally representative survey. METHODS: The total sample size for the desk-based survey was 103, accounting for 6% of private dentists in Ireland, weighted to reflect the geographic distribution of dentists. Dentists were selected at random from the publicly available list of dentists participating in the Dental Treatment Benefit Scheme. The adult price of 10 different services covering core preventive, primary, and complex procedures were identified from public websites for the selected dental practices. RESULTS: Results showed that in addition to there being an uneven supply of dentists across the country, dental prices also vary with some notable variations by region and type of service. In particular, dental practices located in border counties, and those in rural areas typically show lower mean prices relative to non-border counties and urban areas. These factors need to be considered when planning how to reduce inequalities in access to oral health services in Ireland.

Overprescribing among older people near end of life in Ireland: Evidence of prevalence and determinants from The Irish Longitudinal Study on Ageing (TILDA).

International evidence shows that people approaching end of life (EOL) have high prevalence of polypharmacy, including overprescribing. Overprescribing may have adverse side effects for mental and physical health and represents wasteful spending. Little is known about prescribing near EOL in Ireland. We aimed to describe the prevalence of two undesirable outcomes, and to identify factors associated with these outcomes: potentially questionable prescribing, and potentially inadequate prescribing, in the last year of life (LYOL). We used The Irish Longitudinal Study on Ageing, a biennial nationally representative dataset on people aged 50+ in Ireland. We analysed a sub-sample of participants with high mortality risk and categorised their self-reported medication use as potentially questionable or potentially inadequate based on previous research. We identified mortality through the national death registry (died in <365 days versus not). We used descriptive statistics to quantify prevalence of our outcomes, and we used multivariable logistic regression to identify factors associated with these outcomes. Of 525 observations, 401 (76%) had potentially inadequate and 294 (56%) potentially questionable medications. Of the 401 participants with potentially inadequate medications, 42 were in their LYOL. OF the 294 participants with potentially questionable medications, 26 were in their LYOL. One factor was significantly associated with potentially inadequate medications in LYOL: male (odds ratio (OR) 4.40, p = .004) Three factors were associated with potentially questionable medications in LYOL: male (OR 3.37, p = .002); three or more activities of daily living (ADLs) (OR 3.97, p = .003); and outpatient hospital visits (OR 1.03, p = .02). Thousands of older people die annually in Ireland with potentially inappropriate or questionable prescribing patterns. Gender differences for these outcomes are very large. Further work is needed to identify and reduce overprescribing near EOL in Ireland, particularly among men.

Projecting future health and service use among older people in Ireland: an overview of a dynamic microsimulation model in The Irish Longitudinal Study on Ageing (TILDA).

Background: Demographic ageing is a population health success story but poses unprecedented policy challenges in the 21st century. Policymakers must prepare health systems, economies and societies for these challenges. Policy choices can be usefully informed by models that evaluate outcomes and trade-offs in advance under different scenarios. Methods: We developed a dynamic demographic-economic microsimulation model for the population aged 50 and over in Ireland: the Irish Future Older Adults Model (IFOAM).  Our principal dataset was The Irish Longitudinal Study on Ageing (TILDA). We employed first-order Markovian competing risks models to estimate transition probabilities of TILDA participants to different outcomes: diagnosis of serious diseases, functional limitations, risk-modifying behaviours, health care use and mortality. We combined transition probabilities with the characteristics of the stock population to estimate biennial changes in outcome state.   Results: IFOAM projections estimated large annual increases in total deaths, in the number of people living and dying with serious illness and functional impairment, and in demand for hospital care between 2018 and 2040.  The most important driver of these increases is the rising absolute number of older people in Ireland as the population ages. The increasing proportion of older old and oldest old citizens is projected to increase the average prevalence of chronic conditions and functional limitations. We deemed internal validity to be good but lacked external benchmarks for validation and corroboration of most outcomes. Conclusion: We have developed and validated a microsimulation model that projects health and related outcomes among older people in Ireland.  Future research should address identified policy questions. The model enhances the capacity of researchers and policymakers to quantitatively forecast health and economic dynamics among older people in Ireland, to evaluate ex ante policy responses to these dynamics, and to collaborate internationally on global challenges associated with demographic ageing.

Management of human resources for health: implications for health systems efficiency in Kenya.

BACKGROUND: Human resources for health consume a substantial share of healthcare resources and determine the efficiency and overall performance of health systems. Under Kenya's devolved governance, human resources for health are managed by county governments. The aim of this study was to examine how the management of human resources for health influences the efficiency of county health systems in Kenya. METHODS: We conducted a case study using a mixed methods approach in two purposively selected counties in Kenya. We collected data through in-depth interviews (n = 46) with national and county level HRH stakeholders, and document and secondary data reviews. We analyzed qualitative data using a thematic approach, and quantitative data using descriptive analysis. RESULTS: Human resources for health in the selected counties was inadequately financed and there were an insufficient number of health workers, which compromised the input mix of the health system. The scarcity of medical specialists led to inappropriate task shifting where nonspecialized staff took on the roles of specialists with potential undesired impacts on quality of care and health outcomes. The maldistribution of staff in favor of higher-level facilities led to unnecessary referrals to higher level (referral) hospitals and compromised quality of primary healthcare. Delayed salaries, non-harmonized contractual terms and incentives reduced the motivation of health workers. All of these effects are likely to have negative effects on health system efficiency. CONCLUSIONS: Human resources for health management in counties in Kenya could be reformed with likely positive implications for county health system efficiency by increasing the level of funding, resolving funding flow challenges to address the delay of salaries, addressing skill mix challenges, prioritizing the allocation of health workers to lower-level facilities, harmonizing the contractual terms and incentives of health workers, and strengthening monitoring and supervision.

Predicting mortality in The Irish Longitudinal Study on Ageing (TILDA): development of a four-year index and comparison with international measures.

OBJECTIVES: We aimed to replicate existing international (US and UK) mortality indices using Irish data. We developed and validated a four-year mortality index for adults aged 50 + in Ireland and compared performance with these international indices. We then extended this model by including additional predictors (self-report and healthcare utilization) and compared its performance to our replication model. METHODS: Eight thousand one hundred seventy-four participants in The Irish Longitudinal Study on Ageing were split for development (n = 4,121) and validation (n = 4,053). Six baseline predictor categories were examined (67 variables total): demographics; cardiovascular-related illness; non-cardiovascular illness; health and lifestyle variables; functional variables; self-report (wellbeing and social connectedness) and healthcare utilization. We identified variables independently associated with four-year mortality in the development cohort and attached these variables a weight according to strength of association. We summed the weights to calculate a single index score for each participant and evaluated predicted accuracy in the validation cohort. RESULTS: Our final 14-predictor (extended) model assigned risk points for: male (1pt); age (65-69: 2pts; 70-74: 4 pts; 75-79: 4pts; 80-84: 6pts; 85 + : 7pts); heart attack (1pt); cancer (3pts); smoked past age 30 (2pts); difficulty walking 100 m (2pts); difficulty using the toilet (3pts); difficulty lifting 10lbs (1pts); poor self-reported health (1pt); and hospital admission in previous year (1pt). Index discrimination was strong (ROC area = 0.78). DISCUSSION: Our index is predictive of four-year mortality in community-dwelling older Irish adults. Comparisons with the international indices show that our 12-predictor (replication) model performed well and suggests that generalisability is high. Our 14-predictor (extended) model showed modest improvements compared to the 12-predictor model.

Do Mini-Mental State Examination and Montreal Cognitive Assessment predict high-cost health care users? A competing risks analysis in The Irish Longitudinal Study on Ageing.

OBJECTIVES: Policymakers want to better identify in advance the 10% of people who account for approximately 75% of health care costs. We evaluated how well Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) predicted high costs in Ireland. METHODS/DESIGN: We used five waves from The Irish Longitudinal Study on Ageing, a biennial population-representative survey of people aged 50+ (2010-2018). We used competing risks analysis where our outcome of interest was "high costs" (top 10% at any wave) and the competing outcome was dying or loss to follow-up without first having the high-cost outcome. Our binary predictors of interest were a 'low score' (bottom 10% in the sample) in MMSE (≤25 pts) and MoCA (≤19 pts) at baseline, and we calculated sub-hazard ratios after controlling for sociodemographic, clinical and functional factors. RESULTS: Of 5856 participants, 1427 (24%) had the 'high cost' outcome; 1463 (25%) had a competing outcome; and 2966 (51%) completed eight years of follow-up without either outcome. In multivariable regressions a low MoCA score was associated with high costs (SHR: 1.38 (95% CI: 1.2-1.6) but a low MMSE score was not. Low MoCA score at baseline had a higher true positive rate (40%) than did low MMSE score (35%). The scores had similar association with exit from the study. CONCLUSIONS: MoCA had superior predictive accuracy for high costs than MMSE but the two scores identify somewhat different types of high-cost user. Combining the approaches may improve efforts to identify in advance high-cost users.

Usability-Focused Development and Usage of NeoTree-Beta, an App for Newborn Care in a Low-Resource Neonatal Unit, Malawi.

Background: Neonatal mortality is high in low-resource settings. NeoTree is a digital intervention for neonatal healthcare professionals (HCPs) aiming to achieve data-driven quality improvement and improved neonatal survival in low-resource hospitals. Optimising usability with end-users could help digital health interventions succeed beyond pilot stages in low-resource settings. Usability is the quality of a user's experience when interacting with an intervention, encompassing their effectiveness, efficiency, and overall satisfaction. Objective: To evaluate the usability and usage of NeoTree beta-app and conduct Agile usability-focused intervention development. Method: A real-world pilot of NeoTree beta-app was conducted over 6 months at Kamuzu Central Hospital neonatal unit, Malawi. Prior to deployment, think-aloud interviews were conducted to guide nurses through the app whilst voicing their thoughts aloud (n = 6). System Usability Scale (SUS) scores were collected before the implementation of NeoTree into usual clinical care and 6 months after implementation (n = 8 and 8). During the pilot, real-world user-feedback and user-data were gathered. Feedback notes were subjected to thematic analysis within an Agile "product backlog." For usage, number of users, user-cadre, proportion of admissions/outcomes recorded digitally, and median app-completion times were calculated. Results: Twelve overarching usability themes generated 57 app adjustments, 39 (68%) from think aloud analysis and 18 (32%) from the real-world testing. A total of 21 usability themes/issues with corresponding app features were produced and added to the app. Six themes relating to data collection included exhaustiveness of data schema, prevention of errors, ease of progression, efficiency of data entry using shortcuts, navigation of user interface (UI), and relevancy of content. Six themes relating to the clinical care included cohesion with ward process, embedded education, locally coherent language, adaptability of user-interface to available resources, and printout design to facilitate handover. SUS scores were above average (88.1 and 89.4 at 1 and 6 months, respectively). Ninety-three different HCPs of 5 cadres, recorded 1,323 admissions and 1,197 outcomes over 6 months. NeoTree achieved 100% digital coverage of sick neonates admitted. Median completion times were 16 and 8 min for admissions and outcomes, respectively. Conclusions: This study demonstrates optimisation of a digital health app in a low-resource setting and could inform other similar usability studies apps in similar settings.

Preferences of Older People With a Life-Limiting Illness: A Discrete Choice Experiment.

CONTEXT: There is limited evidence about which elements and characteristics of palliative care service provision improve the experiences of older people living with life-limiting illness. OBJECTIVES: To evaluate older patients' (≥65 years) preferences for elements of services and supports and to explore relationships between patient characteristics and the patterns of preferences. METHODS: A cross-sectional survey undertaken in Ireland and England using a Discrete Choice Experiment with people accessing specialist palliative care services. A random-effects probit model was used to estimate patient preferences. RESULTS: Of the 77 patients were interviewed, 51 participated in the Discrete Choice Experiment component of the interview (response rate = 66%). Participants prioritized support that minimized unpaid caregiver burden (P < 0.001). They also preferred ease of access to services including out-of-hours access (P < 0.001) and free care at home (P < 0.001). Quality of life was prioritized over quantity of life (<0.001). CONCLUSION: People living with a life-limiting illness value care that focuses on quality of life, ensures barrier-free access to services and provides sufficient support for relatives. In the context of limited resources and growing demand for care, this study provides evidence about the service elements palliative care delivery models should prioritize and evaluate.

Public health insurance and mortality in the older population: Evidence from the Irish Longitudinal Study on Ageing.

Most developed countries provide publicly-financed insurance for many health services for their populations although there is considerable variation across countries in the types of services covered, eligible population groups and whether co-payments are levied. The Irish healthcare system, with a complex mix of public and private financing of healthcare services, offers a useful case study for an examination of the impact of type of health insurance cover on population health. In this paper, we investigate the extent to which type of health insurance cover is associated with all-cause, cause-specific, and amenable mortality using data on a representative survey of the population aged 50+ from the Irish Longitudinal Study on Ageing (TILDA) matched to administrative data on death registrations. The results show that those without public or private health insurance have a higher risk of all-cause and cancer mortality. However, there is no evidence that type of health insurance cover affects mortality risk from causes that are considered amenable to healthcare intervention, although this analysis was based on a much smaller sample size. This analysis provides important evidence for a country that is implementing reforms to its financing and delivery structures in order to move towards a system of universal healthcare.