Revising the Logic Model Behind Health Care's Social Care Investments.

Policy Points This article summarizes recent evidence on how increased awareness of patients' social conditions in the health care sector may influence health and health care utilization outcomes. Using this evidence, we propose a more expansive logic model to explain the impacts of social care programs and inform future social care program investments and evaluations.

Association of a Geriatric Emergency Department Innovation Program With Cost Outcomes Among Medicare Beneficiaries.

Importance: There has been a significant increase in the implementation and dissemination of geriatric emergency department (GED) programs. Understanding the costs associated with patient care would yield insight into the direct financial value for patients, hospitals, health systems, and payers. Objective: To evaluate the association of GED programs with Medicare costs per beneficiary. Design, Setting, and Participants: This cross-sectional study included data on Medicare fee-for-service beneficiaries at 2 hospitals implementing Geriatric Emergency Department Innovations in Care Through Workforce, Informatics, and Structural Enhancement (GEDI WISE) (Mount Sinai Medical Center [MSMC] and Northwestern Memorial Hospital [NMH]) from January 1, 2013, to November 30, 2016. Analyses were conducted and refined from August 28, 2018, to November 20, 2020, using entropy balance to account for observed differences between the treatment and comparison groups. Interventions: Treatment included consultation with a transitional care nurse (TCN) or a social worker (SW) trained for the GEDI WISE program at a beneficiary's first ED visit (index ED visit). The comparison group included beneficiaries who were never seen by either a TCN or an SW during the study period. Main Outcomes and Measures: The main outcome evaluated was prorated total Medicare payer expenditures per beneficiary over 30 and 60 days after the index ED visit encounter. Results: Of the total 24 839 unique Medicare beneficiaries, 4041 were seen across the 2 EDs; 1947 (17.4%) at MSMC and 2094 (15.4%) at the NMH received treatment from either a GED TCN and/or a GED SW. The mean (SD) age of beneficiaries at MSMC was 78.8 (8.5) years and at NMH was 76.4 (7.7) years. Most patients at both hospitals were female (6821 [60.8%] at MSMC and 8023 [58.9%] at NMH) and White (7729 [68.9%] at MSMC and 9984 [73.3%] at NMH). Treatment was associated with statistically significant mean savings per beneficiary of $2436 (95% CI, $1760-$3111; P < .001) at one ED and $2905 (95% CI, $2378-$3431; P < .001) at the other ED in the 30 days after the index ED visit. The association between treatment and mean cumulative savings at 60 days after the index ED visit per beneficiary was also significant: $1200 (95% CI, $231-$2169; P = .02) at one ED and $3202 (95% CI, $2452-$3951; P < .001) at the other ED. Conclusions and Relevance: Among Medicare fee-for-service beneficiaries, receipt of ED-based geriatric treatment by a TCN and/or an SW was associated with lower Medicare expenditures. These estimated cost savings may be used when calculating or considering the bundled value and potential reimbursement per patient for GED care programs.

Webpalestra COVID-19 (Coronavírus): Direitos sociais da população em tempo de pandemia da COVID-19. O que é preciso saber?

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National Health Care Expenditures Associated With Disability.

BACKGROUND: In 2003, national disability-associated health care expenditures (DAHE) were $398 billion. Updated estimates will improve our understanding of current DAHE. OBJECTIVE: The objective of this study was to estimate national DAHE for the US adult population and analyze spending by insurance and service categories and to assess changes in spending over the past decade. RESEARCH DESIGN: Data from the 2013-2015 Medical Expenditure Panel Survey were used to estimate DAHE for noninstitutionalized adults. These estimates were reconciled with National Health Expenditure Accounts (NHEA) data and adjusted to 2017 medical prices. Expenditures for institutionalized adults were added from NHEA data. MEASURES: National DAHE in total, by insurance and service categories, and percentage of total expenditures associated with disability. RESULTS: DAHE in 2015 were $868 billion (at 2017 prices), representing 36% of total national health care spending (up from 27% in 2003). DAHE per person with disability increased from $13,395 in 2003 to $17,431 in 2015, whereas nondisability per-person spending remained constant (about $6700). Public insurers paid 69% of DAHE. Medicare paid the largest portion ($324.7 billion), and Medicaid DAHE were $277.2 billion. More than half (54%) of all Medicare expenditures and 72% of all Medicaid expenditures were associated with disability. CONCLUSIONS: The share of health care expenditures associated with disability has increased substantially over the past decade. The high proportion of DAHE paid by public insurers reinforces the importance of public programs designed to improve health care for people with disabilities and emphasizes the need for evaluating programs and health services available to this vulnerable population.

Arminio Fraga: recessão econômica recorde com a COVID-19

O economista e fundador o Instituto de Estudos para Políticas de Saúde, Arminio Fraga, aguarda uma recessão profunda no Brasil com queda no Produto Interno Bruto (PIB) entre 6 a 8%.

Aligning US Spending Priorities Using the Health Impact Pyramid Lens.

Thomas Frieden's "health impact pyramid" presents a hierarchy in which the wide base of the pyramid of socioeconomic factors at a population level has more impact on the health of the public than do individually focused interventions at the pyramid's top.From this pyramid perspective, the US spending priorities are misaligned, as expenses targeted at public health and socioeconomic factors are far outstripped by spending on individual health care services at the top of the pyramid. The nation's ongoing debate on health care reform continues to focus on access to individual health care services, despite evidence demonstrating the health impacts of population-level efforts at the base of the pyramid and the synergistic health impacts of health and social service collaboration.We examine the need for improved systems alignment through the lens of the health impact pyramid. We catalog the types of misalignments and their social, political, and systems genesis. We identify promising opportunities to realign US health spending toward the socioeconomic factor base of the health impact pyramid and emphasize the need to integrate and align public health, social services, and medical care in the United States.

Integration of Health and Social Services at the Systems Level: A Framework for Addressing Funding and Jurisdictional Silos.

Objectives. To examine spending and resource allocation decision-making to address health and social service integration challenges within and between governments.Methods. We performed a mixed methods case study to examine the integration of health and social services in a large US metropolitan area, including a city and a county government. Analyses incorporated annual budget data from the city and the county from 2009 to 2018 and semistructured interviews with 41 key leaders, including directors, deputies, or finance officers from all health care-, health-, or social service-oriented city and county agencies; lead budget and finance managers; and city and county executive offices.Results. Participants viewed public health and social services as qualitatively important, although together these constituted only $157 or $1250 total per capita spending in 2018, and per capita public health spending has declined since 2009. Funding streams can be siloed and budget approaches can facilitate or impede service integration.Conclusions. Health and social services should be integrated through greater attention to the budgetary, jurisdictional, and programmatic realities of health and social service agencies and to the budget models used for driving the systems-level pursuit of population health.

The fiscal consequences of public health investments in disease-modifying therapies for the treatment of multiple sclerosis in Sweden.

Background and aims: The economic consequences of multiple sclerosis (MS) are broader than those observed within the health system. The progressive nature suggests that people will not be able to live a normal productive life and will gradually require public benefits to maintain living standards. This study investigates the public economic impact of MS and how investments in disease-modifying therapies (DMTs) influence the lifetime costs to government attributed to changes in lifetime tax revenue and disability benefits based on improved health status linked to delayed disease progression.Methods: Disease progression rates from previous MS Markov cohort models were applied to interferon beta-1a, peginterferon beta-1a, dimethyl fumarate, and natalizumab using a public economic framework. The established relationship between expanded disability status scale and work-force participation, annual earnings, and disability rates for each DMT were applied. Subsequently, we assessed the effect of DMTs on discounted governmental costs consisting of health service costs, social insurance and disability costs, and changes in lifetime tax revenues.Results: Fiscal benefits attributed to informal care and community services savings for interferon beta-1a, peginterferon beta-1a, dimethyl fumarate, and natalizumab were SEK340,387, SEK486,837, SEK257,330, and SEK958,852 compared to placebo, respectively. Tax revenue gains linked to changes in lifetime productivity for interferon beta-1a, peginterferon beta-1a, dimethyl fumarate, and natalizumab were estimated to be SEK27,474, SEK39,659, SEK21,661, and SEK75,809, with combined fiscal benefits of cost savings and tax revenue increases of SEK410,039, SEK596,592, SEK326,939, and SEK1,208,023, respectively.Conclusion: The analysis described here illustrates the broader public economic benefits for government attributed to changes in disease status. The lifetime social insurance transfer costs were highest in non-treated patients, and lower social insurance costs were demonstrated with DMTs. These findings suggest that focusing cost-effectiveness analysis only on health costs will likely underestimate the value of DMTs.

Do the Costs of AUD-Related Health and Social Care Services Vary Across Patient Profiles?

OBJECTIVE: Alcohol use disorders (AUDs) are associated with high social and health care costs. We compare the direct social and health care costs of patients with AUDs, according to four service use profiles: (a) AUD treatment, (b) mental health (MH) treatment, (c) AUD + MH treatment, (d) no treatment. A separate analysis of the costliest 10% is included. Furthermore, the association between the service user profile and the risk of death is examined. METHOD: Direct unit service costs were retrieved from the electronic health record system and supplemented with patient grouping-based costs for primary and secondary care services, to examine the yearly mean cost per patient in the AUD cohort (N = 5,136; 71.1% male). We used data collected in the North Karelia region of Finland between 2014 and 2018. RESULTS: Total costs of care for the cohort during the 5-year follow-up were 126 million Euros, and the percentage of the costliest 10% (n = 521) was 51.7% (65 million Euros). Total costs were 12,778 Euros lower if the person received AUD treatment only, compared with those not in treatment. For those receiving MH treatment only, the total costs were 1,819 Euros higher, and costs were 1,523 Euros higher for those receiving AUD + MH treatment. Receiving any treatment was associated with a diminished risk of death (AUD: odds ratio [OR] = 0.56; MH: OR = 0.63; AUD + MH: OR = 0.41). CONCLUSIONS: Receiving only AUD treatment was associated with the lowest cost of care. Our results support the early identification of AUDs and provision of treatment in specialized addiction services to lower the costs of care and improve care outcomes.

Cost-effectiveness of biennial screening for diabetes related retinopathy in people with type 1 and type 2 diabetes compared to annual screening.

OBJECTIVE: Examine the health and economic impact of extending screening intervals in people with Type 2 diabetes (T2DM) and Type 1 diabetes (T1DM) without diabetes-related retinopathy (DR). SETTING: Diabetic Eye Screening Wales (DESW). STUDY DESIGN: Retrospective observational study with cost-utility analysis (CUA) and Decremental Cost-Effectiveness Ratios (DCER) study. INTERVENTION: Biennial screening versus usual care (annual screening). INPUTS: Anonymised data from DESW were linked to primary care data for people with two prior screening events with no DR. Transition probabilities for progression to DR were estimated based on a subset of 26,812 and 1232 people with T2DM and T1DM, respectively. DCER above £20,000 per QALY was considered cost-effective. RESULTS: The base case analysis DCER results of £71,243 and £23,446 per QALY for T2DM and T1DM respectively at a 3.5% discount rate and £56,822 and £14,221 respectively when discounted at 1.5%. Diabetes management represented by the mean HbA1c was 7.5% for those with T2DM and 8.7% for T1DM. SENSITIVITY ANALYSIS: Extending screening to biennial based on HbA1c, being the strongest predictor of progression of DR, at three levels of HbA1c 6.5%, 8.0% and 9.5% lost one QALY saving the NHS £106,075; £58,653 and £31,626 respectively for T2DM and £94,696, £37,646 and £11,089 respectively for T1DM. In addition, extending screening to biennial based on the duration of diabetes > 6 years for T2DM per QALY lost, saving the NHS £54,106 and for 6-12 and > 12 years for T1DM saving £83,856, £23,446 and £13,340 respectively. CONCLUSIONS: Base case and sensitivity analyses indicate biennial screening to be cost-effective for T2DM irrespective of HbA1c and duration of diabetes. However, the uncertainty around the DCER indicates that annual screening should be maintained for those with T1DM especially when the HbA1c exceeds 80 mmol/mol (9.5%) and duration of diabetes is greater than 12 years.

The excess economic burden of mental disorders: findings from a cross-sectional prevalence survey in Austria.

Information about the scope of mental disorders (MDs), resource use patterns in health and social care sectors and economic cost is crucial for adequate mental healthcare planning. This study provides the first representative estimates about the overall utilisation of resources by people with MDs and the excess healthcare and productivity loss costs associated with MDs in Austria. Data were collected in a cross-sectional survey conducted on a representative sample (n = 1008) between June 2015 and June 2016. Information on mental health diagnoses, 12-month health and social care use, medication use, comorbidities, informal care, early retirement, sick leave and unemployment was collected via face-to-face interviews. Generalised linear model was used to assess the excess cost of MDs. The healthcare cost was 37% higher (p = 0.06) and the total cost was twice as high (p < 0.001) for the respondents with MDs compared to those without MDs. Lost productivity cost was over 2.5-times higher (p < 0.001) for those with MDs. Participants with severe MDs had over 2.5-times higher health and social care cost (p < 0.001) and 9-times higher mental health services cost (p < 0.001), compared to those with non-severe MDs. The presence of two or more physical comorbidities was a statistically significant determinant of the total cost. Findings suggest that the overall excess economic burden on health and social care depends on the severity of MDs and the number of comorbidities. Both non-severe and severe MDs contribute to substantially higher loss productivity costs compared to no MDs. Future resource allocation and service planning should take this into consideration.

Managing mental health: why we need to redress the balance between healthcare spending and social spending.

BACKGROUND: Mental health outcomes vary widely among high-income countries, although mental health problems represent an increasing proportion of the burden of disease for all countries. This has led to increased demand for healthcare services, but mental health outcomes may also be particularly sensitive to the availability of social services. This paper examines the variation in the absolute and relative amounts that high-income countries spend on healthcare and social services to determine whether increased expenditure on social services relative to healthcare expenditure might be associated with better mental health outcomes. METHODS: This paper estimates the association between patterns of government spending and population mental health, as measured by the death rate resulting from mental and behavioural disorders, across member countries of the Organisation for Economic Cooperation and Development (OECD). We use country-level repeated measures multivariable modelling for the period from 1995 to 2016 with region and time effects, adjusted for total spending and demographic and economic characteristics. Healthcare spending includes all curative services, long-term care, ancillary services, medical goods, preventative care and administration whilst social spending consists of all transfer payments made to individuals and families as part of the welfare state. RESULTS: We find that a higher ratio of social to healthcare expenditure is associated with significantly better mental health outcomes for OECD populations, as measured by the death rate resulting from mental and behavioural disorders. We also find that there is no statistically significant association between healthcare spending and population mental health when we do not control for social spending. CONCLUSION: This study suggests that OECD countries can have a significant impact on population mental health by investing a greater proportion of total expenditure in social services.

Healthcare utilization and monetary costs associated with agitation in UK care home residents with advanced dementia: a prospective cohort study.

OBJECTIVE: Nearly half of care home residents with advanced dementia have clinically significant agitation. Little is known about costs associated with these symptoms toward the end of life. We calculated monetary costs associated with agitation from UK National Health Service, personal social services, and societal perspectives. DESIGN: Prospective cohort study. SETTING: Thirteen nursing homes in London and the southeast of England. PARTICIPANTS: Seventy-nine people with advanced dementia (Functional Assessment Staging Tool grade 6e and above) residing in nursing homes, and thirty-five of their informal carers. MEASUREMENTS: Data collected at study entry and monthly for up to 9 months, extrapolated for expression per annum. Agitation was assessed using the Cohen-Mansfield Agitation Inventory (CMAI). Health and social care costs of residing in care homes, and costs of contacts with health and social care services were calculated from national unit costs; for a societal perspective, costs of providing informal care were estimated using the resource utilization in dementia (RUD)-Lite scale. RESULTS: After adjustment, health and social care costs, and costs of providing informal care varied significantly by level of agitation as death approached, from £23,000 over a 1-year period with no agitation symptoms (CMAI agitation score 0-10) to £45,000 at the most severe level (CMAI agitation score >100). On average, agitation accounted for 30% of health and social care costs. Informal care costs were substantial, constituting 29% of total costs. CONCLUSIONS: With the increasing prevalence of dementia, costs of care will impact on healthcare and social services systems, as well as informal carers. Agitation is a key driver of these costs in people with advanced dementia presenting complex challenges for symptom management, service planners, and providers.

A pilot study of an integrated mental health, social and medical model for diabetes care in an inner-city setting: Three Dimensions for Diabetes (3DFD).

AIMS: We examined the effectiveness of a service innovation, Three Dimensions for Diabetes (3DFD), that consisted of a referral to an integrated mental health, social care and diabetes treatment model, compared with usual care in improving biomedical and health economic outcomes. METHODS: Using a non-randomized control design, the 3DFD model was offered in two inner-city boroughs in London, UK, where diabetes health professionals could refer adult residents with diabetes, suboptimal glycaemic control [HbA1c ≥ 75 mmol/mol (≥ 9.0%)] and mental health and/or social problems. In the usual care group, there was no referral pathway and anonymized data on individuals with HbA1c ≥ 75 mmol/mol (≥ 9.0%) were collected from primary care records. Change in HbA1c from baseline to 12 months was the primary outcome, and change in healthcare costs and biomedical variables were secondary outcomes. RESULTS: 3DFD participants had worse glycaemic control and higher healthcare costs than control participants at baseline. 3DFD participants had greater improvement in glycaemic control compared with control participants [-14 mmol/mol (-1.3%) vs. -6 mmol/mol (-0.6%) respectively, P < 0.001], adjusted for confounding. Total follow-up healthcare costs remained higher in the 3DFD group compared with the control group (mean difference £1715, 95% confidence intervals 591 to 2811), adjusted for confounding. The incremental cost-effectiveness ratio was £398 per mmol/mol unit decrease in HbA1c , indicating the 3DFD intervention was more effective and costed more than usual care. CONCLUSIONS: A biomedical, psychological and social criteria-based referral system for identifying and managing high-cost and high-risk individuals with poor glycaemic control can lead to improved health in all three dimensions.

Preassessment of Community-Based Organization Preparedness in Two Sectors, Human Services and Faith Based: New York City, 2016.

Objectives. To determine the level of preparedness among New York City community-based organizations by using a needs assessment.Methods. We distributed online surveys to 582 human services and 6017 faith-based organizations in New York City from March 17, 2016 through May 11, 2016. We calculated minimal indicators of preparedness to determine the proportion of organizations with preparedness indicators. We used bivariate analyses to examine associations between agency characteristics and minimal preparedness indicators.Results. Among the 210 human service sector respondents, 61.9% reported emergency management plans and 51.9% emergency communications systems in place. Among the 223 faith-based respondents, 23.9% reported emergency management plans and 92.4% emergency communications systems in place. Only 10.0% of human services and 18.8% of faith-based organizations reported having funds allocated for emergency response. Only 2.9% of human services sector and 39.5% of faith-based sector respondents reported practicing emergency communication alerts.Conclusions. New York City human service and faith-based sector organizations are striving to address emergency preparedness concerns, although notable gaps are evident.Public Health Implications. Our results can inform the development of metrics for community-based organizational readiness.

Why the Discretion Mix Matters: Understanding the Transformation of Long-term Care Services.

This study aims to extend the concept of discretion, ie, a certain degree of freedom in crucial decisions left to specific actors, to understand and examine the transformation of social care services in the era of aging and austerity. Although previous studies have reviewed and analyzed changes in care provision, they have been less concerned with who has the authority to make care decisions in the implementation process. We propose a new theoretical concept, the discretion mix, to understand the realignment of social care services beyond simply tracking institutional changes. Using a case study approach, this research investigates how the discretion mix of the Korean long-term care system has changed and the consequences of these changes; in addition, it discusses why the discretion mix can be a useful concept for analyzing the changing landscape of social care services.