Disability-free Life Expectancy Research Articles

Polypharmacy and Therapeutic Inertia in Extreme Longevity: A Potential Clinical Ageism Scenario Secondary to Important Gaps in Clinical Evidence.

Population aging is a global health priority due to the dramatic increase in the proportion of older persons worldwide. It is also expected that both global life expectancy and disability-free life expectancy will increase, leading to a significant rise in the proportion of individuals with extreme longevity, such as non-agenarians and centenarians. The inaccuracy of clinical evidence on therapeutic interventions for this demographic could lead to biased decision-making, influenced by age-related beliefs or misperceptions about their therapeutic needs. This represents a potential clinical ageism scenario stemming from gaps in clinical evidence. Such biases can result in 2 significant issues that adversely affect the health status and prognosis of older persons: polypharmacy and therapeutic inertia. To date, documents on polypharmacy in non-agenarians and centenarians account for less than 0.35% of the overall available evidence on polypharmacy. Furthermore, evidence regarding therapeutic inertia is non-existent. The purpose of this letter is to discuss polypharmacy and therapeutic inertia as potential clinical ageism scenarios resulting from the clinical evidence gaps in extreme longevity.

Total life expectancy and disability-free life expectancy and differences attributable to cigarettes’ smoking among Chinese middle-aged and older adults

ObjectivesMiddle-aged and older adults smoking for years are afflicted by smoking-related diseases and functional limitations; however, little is known about the effect of smoking on nonfatal conditions in middle and later life. This study aims to investigate the impact of smoking on both total life expectancy (TLE) and disability-free life expectancy (DFLE) and the variations in such effects by educational level in China.MethodsData were drawn from the China Health and Retirement Longitudinal Study (CHARLS), 2011–2018, with a total sample of 16,859 individuals aged 45 years or older involved in the final analysis. The Activities of Daily Living (ADL) scale was used to measure disability, and the population-based multistate life table method was used to estimate the differences in TLE and DFLE by smoking status and educational attainment.ResultsAt baseline, 28.9% of participants were current smokers, 8.5% were former smokers, and 62.6% never smoked. Approximately 5.6% were identified with ADL disability. Both current smokers and former smokers experienced lower TLE and DFLE than never smokers, and such differences were particularly prominent among men. Intriguingly, former smokers manifested a lower DFLE for both sexes and a lower TLE among women, though a longer TLE among men, compared with current smokers. Similar differences in TLE and DFLE by smoking status were observed for groups with different levels of education.ConclusionNever smokers live longer and healthier than current smokers and persons who quit smoking. Smoking was associated with greater reductions in TLE and DFLE among men. However, educational attainment might not moderate the adverse effect of smoking on both fatal and nonfatal conditions in the context of China. These findings have implications for disability prevention, aged care provision and informing policies of healthy aging for China and elsewhere.

A Multi-State Model Study of the Disability-Free Life Expectancy Among Older Adults with Chronic Multimorbidity Based on CHARLS - China, 2011-2020.

Chronic disease multimorbidity is prevalent among older Chinese people, seriously affecting their well-being and quality of life. This study estimated the impact of multimorbidity on the risk of health state transitions and health expectancy among older adults in China. It used population-representative, long-term longitudinal data and multi-state Markov modeling along with microsimulation methods. The study results suggest that the Chinese government should strengthen the prevention and management of multimorbidity and accelerate the transition from chronic disease management to multimorbidity management.

Undernutrition levels in Scottish older-adult population: a secondary data analysis of the Scottish Health Survey 2021

The proportion of the UK population over 65 years old is predicted to increase from 18.7% to 26% by 2066(1). However, healthy life expectancy (HLE) and disability free life expectancy (DLE) are decreasing(2, 3), which is particularly concerning in Scotland which also has the lowest overall life expectancy(4). Diet is a major modifiable factor in healthy aging(5) and should be a target to address declining HLE and DLE, but nutrient deficiencies in over 65s in Scotland are poorly understood. This study aimed to understand the presence and extent of inadequate intake of protein, fibre, vitamins, and minerals within over 60 year olds in Scotland.Secondary data analysis of the Scottish Health Survey 2021(6) was performed. Dietary data of older adults (≥ 60 years old, n = 1344) were analysed for protein, fibre, and micronutrient (from food sources) inadequacies, defined as percentage below estimated average requirement, reference nutrient intake or adequate intake(7, 8). Wald Z-test was used to analyse inadequacy between males and females, and urban and rural populations. Differences between Scottish index of multiple deprivation (SIMD) levels (1 [most deprived] to 5 [least deprived]) were analysed using χ2 test and cellwise sub-analysis(9) with Bonferroni corrections.The percentage of over 60s that had inadequate nutrient intake was highest for vitamin D (97%), fibre (93%), selenium (90%), potassium (79%) and Zinc (65%). Compared to males, females were at a greater risk of undernutrition in 18 of the 25 nutrients analysed, of which 11 were significant (p<0.05). Compared to rural populations, urban populations were at a greater risk of undernutrition in 22 of 25 nutrients analysed, of which 10 were significant. People in SIMD 1 were at a greater risk of undernutrition in 20 of 25 nutrients analysed, of which 14 were significant. 40% of over 60s had inadequate protein intake. Risk of inadequate protein intake was greatest for people in SIMD 1 (56%, p<0.001). 24% of over 60s had inadequate folate intake which was significantly higher in females than males (28% and 18%, respectively; p<.001), urban than rural (26% and 19%, respectively; p<.01), and in SIMD1 (36%; p<.001). Inadequate fibre intake was significantly higher in females than males (95% and 91% respectively, p<.01), and urban than rural (95% and 89%, respectively, p<.001). 26% of over 60s had inadequate calcium intake. Inadequate calcium intake was significantly higher in females than males (25% and 17%, respectively; p<.001).These data highlight a considerable undernutrition risk, both overall and within specific nutrients important for healthy aging, in Scotland’s older adult population. Those in SIMD 1, females, and urban dwelling demographics being particularly vulnerable. Although the extent of potential health implications, are dependent on key aspects such as nutrient absorption and utilisation.

Association between education and disability-free life expectancy among Japanese older people: The Ohsaki Cohort 2006 study

BackgroundHigher education level is associated with longer disability-free life expectancy (DFLE). However, evidence is scarce regarding factors that can contribute to eliminating inequality in DFLE according to education level. This study aimed to clarify the association between education and DFLE and estimate whether DFLE in people with lower education may increase to the same level as that in people with higher education through social participation. MethodsWe analyzed data from 13,849 Japanese people aged 65 years and older who participated in a 13-year prospective study. At baseline, we collected information on education levels (low, middle, or high) and social participation. DFLE was defined as the average duration people expect to live without disability. To calculate DFLE for each education level group, the multistate life table method was employed using a Markov model. ResultsAt the age of 65 years, DFLE (95 % confidence interval [CI]) in women with low education was 21.3 years (20.8–21.8) without social participation and 24.3 (23.8–24.9) with social participation. In the middle education group, DFLE was 22.1 (21.6–22.6) without social participation and 25.0 (24.6–25.5) with social participation. In the high education group, DFLE was 22.1 (21.5–22.8) without social participation and 25.5 (25.0–26.0) with social participation. Similar results were found for men. ConclusionsDFLE in people with low or middle education with social participation was almost the same as that in those with high education with social participation, suggesting the possibility that disparities in DFLE by education level could be offset by promoting social participation in older adults.

Age and sex-specific disability-free life expectancy in urban and rural settings of Bangladesh

BackgroundDisability-free life expectancy (DFLE) has been used to gain a better understanding of the population’s quality of life.ObjectivesThe authors aimed to estimate age and sex-specific disability-free life expectancy (DFLE) for urban and rural areas of Bangladesh, as well as to investigate the differences in DFLE between males and females of urban and rural areas.MethodsData from the Bangladesh Sample Vital Statistics-2016 and the Bangladesh Household Income and Expenditure Survey (HIES)-2016 were used to calculate the disability-free life expectancy (DFLE) of urban and rural males and females in Bangladesh in 2016. The DFLE was calculated using the Sullivan method.ResultsWith only a few exceptions, rural areas have higher mortality and disability rates than urban areas. For both males and females, statistically significant differences in DFLE were reported between urban and rural areas between the ages of birth and 39 years. In comparison to rural males and females, urban males and females had a longer life expectancy (LE), a longer disability-free life expectancy, and a higher share of life without disability.ConclusionThis study illuminates stark urban–rural disparities in LE and DFLE, especially among individuals aged < 1–39 years. Gender dynamics reveal longer life expectancy but shorter disability-free life expectancy for Bangladeshi women compared to men, emphasizing the need for targeted interventions to address these pronounced health inequalities.

Ethnic differences in disability-free life expectancy and disabled life expectancy in older adults in Chile

BackgroundAlthough about 10% of the Latin American population is indigenous, ethnic differences in disability-free life expectancy (DFLE) and life expectancy with disability (DLE) are unknown.ObjectiveTo estimate disability-free life expectancy and disabled life expectancy among Mapuche (the largest indigenous group) and non-indigenous older adults aged 60 years or more in Chile.MethodDisability was measured following a methodology that combines limitations of daily living, cognitive impairment and dependence previously validated in Chile. Finally, the DFLE was estimated using Sullivan’s method combining life tables by ethnicity and disability proportions from the EDES survey designed for the study of ethnic differentials in health and longevity in Chile.ResultsNon-Indigenous people have a higher total and Disability-free life expectancy compared to Mapuche people at all ages. While at age 60 a Mapuche expects to live 18.9 years, of which 9.4 are disability-free, a non-Indigenous expects to live 26.4 years, of which 14 are disability-free. In addition, although the length of life with disability increases with age for both populations, Mapuche who survive to age 80 or 90 expect to live 84% and 91% of their remaining life with disability, higher proportions compared to non-indigenous people (62.9% and 75%, respectively).ConclusionsThis is the first study addressing inequities in DFLE between the Mapuche and non-Indigenous population, reflected in lower total life expectancy, lower DFLE and higher DLE in Mapuche compared to the non-Indigenous population. Our results underscore the need for increased capacity to monitor mortality risks among older people, considering ethnic differences.

Dynamic changes and lifetime effect of functional disability profiles for stroke patients: real-world evidence from South Korea.

This work aimed to investigate the long-term dynamic changes of functional disabilities and estimate lifetime outcomes of different functional disabilities after a stroke, using real-world data from a nationally representative South Korean cohort. Patients aged 18 and above with ischemic and hemorrhagic strokes were identified from the Korea Health Panel (KHP) data (2008-2018). Functional disabilities were repeatedly measured for patients aged 55 and over for the prevalence of disabilities associated with activities of daily living (ADL), and kernel smoothing means were estimated for each item. The lifetime survival function of stroke patients in Korea was adopted from another study utilizing the National Health Insurance Service of Korea's national sample cohort. By multiplying the disability-free proportion with the survival function throughout life, disability-free life expectancy (DFLE) for each ADL item was estimated. The loss-of-DFLE was calculated by subtracting the DFLE from age-, sex-, and calendar year-matched referents simulated from Korean life tables. The KHP dataset included 466 stroke patients. The overall functional disability needs increased over time after stroke diagnosis. DFLE was lowest for bathing (10.1 years for ischemic stroke and 12.8 years for hemorrhagic stroke), followed by those for dressing and washing. Loss-of-DFLE was highest for bathing for ischemic and hemorrhagic strokes (7.2 and 10.7 years, respectively), indicating that this task required the most assistance for stroke patients compared with the other tasks. DFLEs were slightly lower than the quality-adjusted life expectancy of stroke patients. Our findings provide valuable insights for resource allocation and policy decisions in long-term stroke care, potentially enhancing the quality of life for stroke survivors and caregivers.

Association of healthy lifestyle with life expectancy free of five major disabilities in Chinese older adults.

Whether and to what extent multiple healthy lifestyles affect the longevity of people with disabilities, including those in basic activities of daily living, mobility, vision, hearing and cognition, is crucial to policymakers. We aimed to determine the impact of combined lifestyles on life expectancy (LE) lived with and without five disabilities. We recruited participants (n = 15 121 from the China Longitudinal Healthy Longevity Survey between 2008 and 2018. Healthy lifestyle levels were estimated from six factors: smoking, drinking, physical exercise, diet, cognitive activity, and sleep, which we categorised as favourable and unfavourable using the latent class growth mixture model throughout the follow-up period. We used Multi-state Markov models to assess the different disability stages of LE. Of the total LE at age 65, older adults with a favourable lifestyle spent 59.60% (disability-free LE (DFLE) = 10.24 years) without five disabilities in combination, whereas those with unfavourable lifestyle spent 56.74% (DFLE = 7.28 years). Furthermore, the percentage of DFLE was 64.98 (7.71 years) and 68.38 (9.91 years) in males with unfavourable and favourable lifestyle levels, respectively, and 47.92 (6.62 years) and 55.12 (10.30 years) for females. Compared to older adults with low socioeconomic status (SES) and unfavourable lifestyle level, those with lower SES and favourable lifestyle level had more 3.77 years of DFLE, those with higher SES and unfavourable lifestyle level had more 1.94 years, as well as those with higher SES and favourable lifestyle level had more 5.10 years at age 65. Corresponding associations were found separately for each of the five individual disabilities. A favourable lifestyle level was associated with longer total LE along with a higher proportion of DFLE and may contribute to narrowing socioeconomic health inequalities. Policymakers should develop lifestyle interventions and scale up rehabilitation services in primary care, thereby delaying disabilities to later ages, especially in low- and middle-income countries.

Impact of physical activity on disability-free and disabled life expectancies in middle-aged and older adults: Data from the healthy aging longitudinal study in Taiwan.

Leisure-time physical activity (LTPA) promotes healthy aging; however, data on work-related physical activity (WPA) are inconsistent. This study was conducted to examine the disability-free life expectancy (DFLE) and disabled life expectancy (DLE) across physical activity levels, with a focus on WPA, in middle-aged and older adults. Data from 5663 community-dwelling participants aged ≥55 years and enrolled in the Healthy Aging Longitudinal Study in Taiwan were evaluated. Energy expenditures from LTPA and WPA were calculated from baseline questionnaires and categorized into sex-specific cutoffs. Disability was based on repeat measures of participants' activities of daily living and instrumental activities of daily living. Mortality was confirmed via data linkage with the Death Certificate database. DFLE and DLE were estimated from discrete-time multistate life-table models. At age 65, women with low WPA had a DLE of 2.88 years (95% confidence interval [CI], 1.67-4.08), which was shorter than that of women without WPA (DLE, 5.24 years; 95% CI, 4.65-5.83) and with high WPA (DLE, 4.01 years; 95% CI, 2.69-5.34). DFLE and DLE were similar across WPA levels in men. DFLE tended to increase as the LTPA increased in men and women. Women with low WPA had shorter DLE than did those with no or high WPA. To reduce the risks of disability associated with physical activity, public policy should advocate for older people to watch the type, amount, and intensity of their activities as these may go ignored during WPA. Geriatr Gerontol Int 2024; 24: 229-239.

Decomposition of Differentials in Health Expectancies From Multistate Life Tables: A Research Note

Multistate modeling is a commonly used method to compute healthy life expectancy. However, there is currently no analytical method to decompose the components of differentials in summary measures calculated from multistate models. In this research note, we propose a derivative-based method to decompose the differentials in population-based health expectancies estimated via a multistate model into two main components: the proportion resulting from differences in initial health structure and the proportion resulting from differences in health transitions. We illustrate the method using data on activities of daily living from the U.S. Health and Retirement Study to decompose the sex differential in disability-free life expectancy (HLE) among older Americans. Our results suggest that the sex gap in HLE results primarily from differences in transition rates between disability states rather than from the initial health distribution of female and male populations. The methods introduced here will enable researchers, including those working in fields other than health, to decompose the relative contribution of initial population structure and transition probabilities to differences in state-specific life expectancies from multistate models.

Disability and morbidity among US birth cohorts, 1998–2018: A multidimensional test of dynamic equilibrium theory

A substantial body of prior research has explored patterns of disability-free and morbidity-free life expectancy among older populations. However, these distinct facets of later-life health are almost always studied in isolation, even though they are very likely to be related. Using data from the US Health and Retirement Study and a multistate life table approach, this paper explores the interactions between disability, morbidity, and mortality by sex and education among four successive US birth cohorts, born from 1914 to 1923 to 1944–1953 and compared in the periods 1998–2008 and 2008–2018. We find little compression of disability but a marked expansion of morbidity across cohorts. However, disability-free life expectancy (DFLE) among those living with chronic morbidities has increased, even though at the population-level DFLE is largely unchanged. Broadly, these patterns suggest that successive cohorts of older populations in the US are experiencing a dynamic equilibrium, where the link between chronic morbidities and disability has weakened over successive cohorts. Investigating patterns by educational attainment, we find marked disparities where the least educated individuals not only live significantly fewer years free of disabilities or chronic morbidities but also have experienced an expansion in morbidity and disability. Our findings suggest that the future trajectory of disability-free life expectancy in the US is increasingly contingent on efforts to improve disease management and control the severe consequences of chronic morbidities.

Secular trends of life expectancy and disability-free life expectancy at age 65 and associated gender and area-level socioeconomic inequalities in Hong Kong: a serial cross-sectional study between 2007 and 2020

Despite Hong Kong's world leading longevity, little is known about its associated disability burden and social patterning. Hence, this study assessed the gender-specific secular trends and area-level inequalities in life expectancy (LE) and disability-free life expectancy (DFLE) at age 65 in Hong Kong. Population structure, death records, and disability data in 2007, 2013, and 2020 were retrieved from the Census and Statistics Department to estimate LE and DFLE using the Sullivan Method. District-based sociodemographic indicators were used to compare LE and DFLE across 18 districts of Hong Kong in2013. Between 2007 and 2020, LE at age 65 increased by 3.7 years (from 18.3 to 22.0) in men and by 2.1 years (from 22.7 to 24.8) in women. By contrast, DFLE increased more slowly, by 1.8 years (from 14.6 to 16.3) in men and by only 0.1 year (from 16.4 to 16.5) in women, leading to a substantial increase in proportion of life spent with disability. Results from multiple linear regression using district-based data in 2013 showed a similar extent of associations of education with LE and DFLE (mean year difference: 0.81 [95% CI: 0.14, 1.48] and 0.68 [0.10, 1.27], respectively, per 10% increase in average education level), while female gender was more strongly associated with LE (4.44 [3.56, 5.31]) than with DFLE (2.00 [1.18, 2.82]). Expansion of disability burden and male-female health-survival paradox hold true in Hong Kong. Unlike Western countries with a stronger socioeconomic patterning of DFLE, the extent of area-level socioeconomic inequalities in LE and DFLE appears to be more comparable in Hong Kong. Health and Medical Research Fund (Ref.no.: 19202031) by the Health Bureau of Hong Kong.

Implementation and Core Components of a Multimodal Program including Exercise and Nutrition in Prevention and Treatment of Frailty in Community-Dwelling Older Adults: A Narrative Review.

Increasing disability-free life expectancy is a crucial issue to optimize active ageing and to reduce the burden of evitable medical costs. One of the main challenges is to develop pragmatic and personalized prevention strategies in order to prevent frailty, counteract adverse outcomes such as falls and mobility disability, and to improve quality of life. Strong evidence reports the effectiveness of exercise interventions to improve various physical parameters and muscle function that are cornerstones of frailty. Other findings also suggest that the interactions between nutrition and physical exercise with or without health behavior promotion prevent the development of frailty. Multimodal programs, including structured exercise, adequate dietary intervention and health behavior promotion, appear increasingly consensual. However, in order for implementation in real-life settings, some pitfalls need to be addressed. In this perspective, structuring and tailoring feasible, acceptable and sustainable interventions to optimize exercise training responses are essential conditions to warrant short, medium and long-term individual benefits. The different components of exercise programs appear to be fairly consensual and effective. However, specific composition of the programs proposed (frequency, intensity, type, time, volume and progressiveness) have to be tailored to individual characteristics and objectives in order to improve exercise responses. The intervention approaches, behavioral strategies and indications for these programs also need to be refined and framed. The main objective of this work is to guide the actions of healthcare professionals and enable them to widely and effectively implement multimodal programs including exercise, nutrition and behavioral strategies in real-life settings.

Estimation of disability free life expectancy in non small cell lung cancer based on real world data

To quantify the societal impact of disability in patients with non-small cell lung cancer (NSCLC), this study estimated the disability-free life expectancy (DFLE), loss-of-DFLE and explored their associations with quality-adjusted life expectancy (QALE) and loss-of-QALE. We interlinked national databases and applied a rolling-over algorithm to estimate the lifetime survival function for patients with NSCLC. Using the EuroQOL-5 Dimension (EQ-5D) and Barthel index (BI), we repeatedly measured the quality-of-life and disability functions of NSCLC patients who visited our hospital from 2011 to 2020. Age-, sex-matched referents were simulated from lifetables of the same calendar year of diagnosis. We categorized BI scores ≤ 70 as in need of long-term care and constructed linear mixed models to estimate the utility values and disability scores. We collected 960 cases and 3088 measurements. The proportions of measurements without disability at age 50–64 and in stage I–IIIa, 50–64 and stage IIIb–IV, 65–89 and stage I–IIIa and 65–89 and stage IIIb–IV were 97.3%, 89.3%, 94.8%,78.3%, corresponding to DFLEs of 15.3, 2.4, 6.8, 1.2 years and losses-of-DFLE of 8.1, 20.7, 4.0, 8.6 years, respectively, indicating that advanced stage had a stronger effect than old age. Survivors in advanced stages showed increased demands for assistance in almost all subitems. The DFLEs seemed to be approximate to the QALEs and the latter were shorter than the former due to discomfort and depression. From a societal perspective, future health technology assessment should consider the impact of lifetime duration of functional disability. Early diagnosis of NSCLC may decrease the burden of long-term care.

Educational disparities in disability-free life expectancy across Europe: A focus on the East-West gaps from a gender perspective

Education plays a crucial role in shaping the health outcomes of adults. This study examines the relationship between educational attainment and health across Europe. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we estimate educational inequalities in disability-free life expectancy (DFLE) by gender in seven Western European (2004–2019) and three Central and Eastern European (CEE) (2010–2019) countries. We exploit a novel approach that combines the Sullivan method and multivariate life tables to calculate DFLE using SHARE data. We find that educational differences in DFLE favoring the better-educated exist in both CEE and Western European countries, but also that the differences across countries are more pronounced among the low-educated. While the absolute gaps in DFLE between low- and high-educated individuals in CEE and Western European countries are similar, the educational disparities in DFLE impose a more significant burden on the CEE populations due to their overall lower life expectancy. Educational inequalities are larger among women than among men in CEE countries, while the results for Western European countries are mixed. Our findings further highlight the important role of the institutional context in mitigating or exacerbating educational inequalities in health.

Estimating Disability-Free Life Expectancy of Malaysian Population Using the Sullivan's Approach

As we age, the chances of becoming disabled tend to increase due to an accumulation of health risks from a lifetime of illness, injury, and disability. This research examines the increasing life expectancy of the Malaysian population in relation to their disability status from 2015 to 2019. Disability-free life expectancy (DFLE) was computed using the Sullivan's approach; subsequently, compression or expansion of disability over the two observation years, 2015 and 2019, were analysed. Malaysian disability prevalence rates by age groups for 2015 and 2019 were used to execute this research. In addition, the respective mortality rates by age were gathered from the Department of Statistics of Malaysia. Results showed that, as life expectancy increases, the number of years lived without a disability would rise significantly while the anticipated number of years with a disability will be concurrently declining, suggesting evidence of disability compression. It was also observed that the median age at which the number of years spent with a disability higher than without a disability was 55 in 2015, then delayed to 67.5 in 2019. This study informs medical practitioners and health policymakers about the average lifespan of Malaysians without disabilities, which can indicate the population's general health status.

Evaluating the design of the Integrated Care for Older People: a theory of change approach.

Given the progressive aging of the population, there is an urgent need at the health system level to implement effective models to care for older people (OP). Healthy aging is imperative to reach the Sustainable Development Goals. The World Health Organization (WHO) developed the Integrated Care for Older People (ICOPE) strategy to address this challenge. Implementing ICOPE requires its adaption to a specific context. We propose a pathway for such adaptation through an evaluation of the design of ICOPE; thus, we aim to describe the Theory of Change (ToC) of ICOPE and evaluate it for its implementation in Mexico City. Based on the WHO and published literature documentation, we drafted an initial ToC for ICOPE. Then, we validated the ToC with experts in ICOPE, after which we evaluated and refined it by discussing the causal pathway, intervention required to activate it, rationale, and assumptions in consecutive workshops with 91 stakeholders and healthcare workers, using the nominal group technique to reach a consensus. The resulting ToC has the potential to contribute to healthy aging by three expected impacts: (1) prevention, reversal, or delaying of the decline of intrinsic capacity (IC) in OP; (2) improvement of the quality of life of OP; and (3) increase of disability-free life expectancy. The ICOPE causal pathway had ten preconditions, including the availability of resources, identifying at-risk individuals, available treatments, and evaluating results. We adapted ICOPE to a specific implementation context by evaluating its ToC in a participatory process that allows us to identify challenges and address them, at least in terms of the guidelines to operate the strategy. As ICOPE is an approach for a primary healthcare system, its adoption in a community healthcare program is promising and feasible. Evaluation as a tool could contribute to the design of effective interventions. The evaluation of the design of ICOPE for its implementation contributes to the strength of its potential to improve care for OP. This design for implementing ICOPE has the potential to be applied to similar contexts, for example, in other lower-middle-income countries.

Estimating the US Baseline Distribution of Health Inequalities Across Race, Ethnicity, and Geography for Equity-Informative Cost-Effectiveness Analysis

ObjectivesInformation on how life expectancy, disability-free life expectancy, and quality-adjusted life expectancy varies across equity-relevant subgroups is required to conduct distributional cost-effectiveness analysis. These summary measures are not comprehensively available in the United States, given limitations in nationally representative data across racial and ethnic groups. MethodsThrough linkage of US national survey data sets and use of Bayesian models to address missing and suppressed mortality data, we estimate health outcomes across 5 racial and ethnic subgroups (non-Hispanic American Indian or Alaska Native, non-Hispanic Asian and Pacific Islander, non-Hispanic black, non-Hispanic white, and Hispanic). Mortality, disability, and social determinant of health data were combined to estimate sex- and age-based outcomes for equity-relevant subgroups based on race and ethnicity, as well as county-level social vulnerability. ResultsLife expectancy, disability-free life expectancy, and quality-adjusted life expectancy at birth declined from 79.5, 69.4, and 64.3 years, respectively, among the 20% least socially vulnerable (best-off) counties to 76.8, 63.6, and 61.1 years, respectively, among the 20% most socially vulnerable (worst-off) counties. Considering differences across racial and ethnic subgroups, as well as geography, gaps between the best-off (Asian and Pacific Islander; 20% least socially vulnerable counties) and worst-off (American Indian/Alaska Native; 20% most socially vulnerable counties) subgroups were large (17.6 life-years, 20.9 disability-free life-years, and 18.0 quality-adjusted life-years) and increased with age. ConclusionsExisting disparities in health across geographies and racial and ethnic subgroups may lead to distributional differences in the impact of health interventions. Data from this study support routine estimation of equity effects in healthcare decision making, including distributional cost-effectiveness analysis.

Association between psychological distress and disability-free life expectancy in the older Japanese adults

BackgroundOur study aimed to investigate the association between psychological distress and disability-free life expectancy (DFLE). MethodsIn 2006, a cohort study was conducted of 12,365 Japanese individuals aged ≥65 years, who were followed-up for 13 years. Psychological distress was measured using the Kessler 6-item psychological distress scale and was categorized into no (0–4), mild (5–9), moderate (10−12), and serious distress (13–24). The number of participants was 1277 (22.4 %) for mild distress, 330 (5.8 %) for moderate, and 208 (3.6 %) for serious in men, and was 1635 (24.6 %), 467 (7.0 %), and 384 (5.8 %) in women. Sex-specific DFLE was defined as the mean years a person could expect to live without disability and calculated by Interpolated Markov Chain (IMaCh) software. ResultsCompared to no distress, DFLE loss per person was 1.21, 2.61, and 4.43 years for mild, moderate, and serious distress respectively in men. At population level, DFEL loss (i.e., DFLE loss per person×number of participants) was 1545.17, 861.30, and 921.44 years for mild, moderate, and serious distress respectively in men. Accordingly, 46.4 % of the total DFLE loss was attributable to mild distress, 25.9 % to moderate, and 27.7 % to serious in men. Similarly, the results were 42.2 %, 25.4 %, and 32.4 % in women. LimitationsPsychological distress was measured only once at baseline, and 2409 participants were excluded from the analysis because of missing data on exposure. ConclusionsAt population level, almost half of the total DFLE loss could be attributable to mild distress, underscoring the importance of population strategy for all levels of distress in promoting healthy aging.