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1.
Expert Rev Pharmacoecon Outcomes Res ; 24(5): 679-686, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38656228

ABSTRACT

BACKGROUND: Budget constraints in health-care systems have led to the popularity of Cost Effectiveness Thresholds (CET) to achieve efficient allocation of resources. The capability approach has been hailed for its potentially richer evaluative capabilities compared to the QALY in terms of thresholds. Extensive research, however, is still limited. RESEARCH DESIGN AND METHODS: This study estimated the monetary value of a year in full capability (YFC) and compared it to monetary value of a QALY for the Hungarian population. Data was collected from a large, cross sectional, representative online survey on the adult Hungarian population. Applying the wellbeing valuation method, health, capability, and income were then regressed against wellbeing to estimate 'shadow prices' for one QALY and YFC controlling for gender, age, employment, education, marital and social support. To examine 'core' regression coefficients, a robustness check was conducted. RESULTS: Health (VAS) and capability (ICECAP-A) had a positive and significant effect on Subjective Well-Being. The monetary values of one QALY and one YFC were 39 459 EUR and 58 148 EUR respectively. CONCLUSIONS: These tools provide a systematic approach to determining 'compensating income' for certain illnesses, disabilities and levels of pain. The capability approach shown to be broader than the QALY.


Subject(s)
Cost-Benefit Analysis , Health Status , Income , Quality-Adjusted Life Years , Humans , Male , Female , Middle Aged , Adult , Cross-Sectional Studies , Hungary , Young Adult , Surveys and Questionnaires , Aged , Delivery of Health Care/economics , Adolescent , Budgets , Resource Allocation/economics
2.
Value Health ; 27(5): 578-584, 2024 May.
Article in English | MEDLINE | ID: mdl-38462224

ABSTRACT

OBJECTIVES: Health technology assessment (HTA) guidance often recommends a 3% real annual discount rate, the appropriateness of which has received limited attention. This article seeks to identify an appropriate rate for high-income countries because it can influence projected cost-effectiveness and hence resource allocation recommendations. METHODS: The author conducted 2 Pubmed.gov searches. The first sought articles on the theory for selecting a rate. The second sought HTA guidance documents. RESULTS: The first search yielded 21 articles describing 2 approaches. The "Ramsey Equation" sums contributions by 4 factors: pure time preference, catastrophic risk, wealth effect, and macroeconomic risk. The first 3 factors increase the discount rate because they indicate future impacts are less important, whereas the last, suggesting greater future need, decreases the discount rate. A fifth factor-project-specific risk-increases the discount rate but does not appear in the Ramsey Equation. Market interest rates represent a second approach for identifying a discount rate because they represent competing investment returns and hence opportunity costs. The second search identified HTA guidelines for 32 high-income countries. Twenty-two provide no explicit rationale for their recommended rates, 8 appeal to market interest rates, 3 to consistency, and 3 to Ramsey Equation factors. CONCLUSIONS: Declining consumption growth and real interest rates imply HTA guidance should reduce recommended discount rates to 1.5 to 2+%. This change will improve projected cost-effectiveness for therapies with long-term benefits and increase the impact of accounting for long-term drug price dynamics, including reduced prices attending loss of market exclusivity.


Subject(s)
Cost-Benefit Analysis , Technology Assessment, Biomedical , Technology Assessment, Biomedical/economics , Humans , Developed Countries/economics , Resource Allocation/economics
3.
JAMA Netw Open ; 5(2): e2145685, 2022 02 01.
Article in English | MEDLINE | ID: mdl-35119464

ABSTRACT

Importance: Hong Kong's internal resource allocation system for public inpatient care changed from a global budget system to one based on diagnosis-related groups (DRGs) in 2009 and returned to a global budget system in 2012. Changes in patient and hospital outcomes associated with moving from a DRG-based system to a global budget system for inpatient care have rarely been evaluated. Objective: To examine associations between the introduction and discontinuation of DRGs and changes in length of stay, volume of care, in-hospital mortality rates, and emergency readmission rates in the inpatient population in acute care hospitals overall, stratified by age group, and across 5 medical conditions. Design, Setting, and Participants: This cross-sectional study included data from patients aged 45 years or older who were hospitalized in public acute care settings in Hong Kong before the introduction (April 2006 to March 2009), during implementation (April 2009 to March 2012), and after discontinuation (April 2012 to November 2014) of the DRG scheme. Data analysis was conducted from January to June 2021. Exposures: Public hospitals transitioned from a global budget payment system to a DRG-based system in April 2009 and returned to a global budget system in April 2014. Main Outcomes and Measures: The main outcome was the association of use of DRGs with patient-level length of stay, in-hospital mortality rate, 1-month emergency readmission rate, and population-level number of admissions per month. An interrupted time series design was used to estimate changes in the level and slope of outcome variables after introduction and discontinuation of DRGs, accounting for pretrends. Results: This study included 7 604 390 patient episodes. Overall, the mean (SD) age of patients was 68.97 (13.20) years, and 52.17% were male. The introduction of DRGs was associated with a 1.77% (95% CI, 1.23%-2.32%) decrease in the mean length of stay, a 2.90% (95% CI, 2.52%-3.28%) increase in the number of patients admitted, a 4.12% (95% CI, 1.89%-6.35%) reduction in in-hospital mortality, and a 2.37% (95% CI, 1.28%-3.46%) decrease in emergency readmissions. Discontinuation of the DRG scheme was associated with a 0.93% (95% CI, 0.42%-1.44%) increase in the mean length of stay and a 1.82% (95% CI, 1.47%-2.17%) reduction in the number of patients treated after adjusting for covariates; no statistically significant change was observed in in-hospital mortality (-0.14%; 95% CI, -2.29% to 2.01%) or emergency readmission rate (-0.29%; 95% CI, -1.30% to 0.71%). Conclusions and Relevance: In this cross-sectional study, the introduction of DRGs was associated with shorter lengths of stay and increased hospital volume, and discontinuation was associated with longer lengths of stay and decreased hospital volume. In-hospital mortality and emergency readmission rates did not significantly change after discontinuation of DRGs.


Subject(s)
Emergency Medical Services/economics , Hospitals, Public/economics , Hospitals, Public/statistics & numerical data , Length of Stay/economics , Patient Readmission/economics , Resource Allocation/economics , Resource Allocation/statistics & numerical data , Aged , Aged, 80 and over , Cross-Sectional Studies , Emergency Medical Services/statistics & numerical data , Female , Hong Kong , Hospital Mortality , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Patient Readmission/statistics & numerical data
5.
PLoS Comput Biol ; 17(9): e1009255, 2021 09.
Article in English | MEDLINE | ID: mdl-34570767

ABSTRACT

Approximately 85% of tuberculosis (TB) related deaths occur in low- and middle-income countries where health resources are scarce. Effective priority setting is required to maximise the impact of limited budgets. The Optima TB tool has been developed to support analytical capacity and inform evidence-based priority setting processes for TB health benefits package design. This paper outlines the Optima TB framework and how it was applied in Belarus, an upper-middle income country in Eastern Europe with a relatively high burden of TB. Optima TB is a population-based disease transmission model, with programmatic cost functions and an optimisation algorithm. Modelled populations include age-differentiated general populations and higher-risk populations such as people living with HIV. Populations and prospective interventions are defined in consultation with local stakeholders. In partnership with the latter, demographic, epidemiological, programmatic, as well as cost and spending data for these populations and interventions are then collated. An optimisation analysis of TB spending was conducted in Belarus, using program objectives and constraints defined in collaboration with local stakeholders, which included experts, decision makers, funders and organisations involved in service delivery, support and technical assistance. These analyses show that it is possible to improve health impact by redistributing current TB spending in Belarus. Specifically, shifting funding from inpatient- to outpatient-focused care models, and from mass screening to active case finding strategies, could reduce TB prevalence and mortality by up to 45% and 50%, respectively, by 2035. In addition, an optimised allocation of TB spending could lead to a reduction in drug-resistant TB infections by 40% over this period. This would support progress towards national TB targets without additional financial resources. The case study in Belarus demonstrates how reallocations of spending across existing and new interventions could have a substantial impact on TB outcomes. This highlights the potential for Optima TB and similar modelling tools to support evidence-based priority setting.


Subject(s)
Resource Allocation/economics , Software , Tuberculosis/economics , Adolescent , Adult , Aged , Aged, 80 and over , Algorithms , Child , Child, Preschool , Computational Biology , Cost-Benefit Analysis , Female , Health Care Costs/statistics & numerical data , Humans , Infant , Infant, Newborn , Male , Middle Aged , Models, Biological , Models, Economic , Prevalence , Prospective Studies , Republic of Belarus/epidemiology , Tuberculosis/epidemiology , Tuberculosis/transmission , Young Adult
6.
Value Health ; 24(8): 1182-1192, 2021 08.
Article in English | MEDLINE | ID: mdl-34372984

ABSTRACT

OBJECTIVES: Decision-making frameworks that draw on economic evaluations increasingly use equity weights to facilitate a more equitable and fair allocation of healthcare resources. These weights can be attached to health gains or reflected in the monetary threshold against which the incremental cost-effectiveness ratios of (new) health technologies are evaluated. Currently applied weights are based on different definitions of disease severity and do not account for age-related preferences in society. However, age has been shown to be an important equity-relevant characteristic. This study examines the willingness to pay (WTP) for health-related quality of life (QOL) gains in relation to the disease severity and age of patients, and the outcome of the disease. METHODS: We obtained WTP estimates by applying contingent-valuation tasks in a representative sample of the public in The Netherlands (n = 2023). We applied random-effects generalized least squares regression models to estimate the effect of patients' disease severity and age, size of QOL gains, disease outcome (full recovery/death 1 year after falling ill), and respondent characteristics on the WTP. RESULTS: Respondents' WTP was higher for more severely ill and younger patients and for larger-sized QOL gains, but lower for patients who died. However, the relations were nonlinear and context dependent. Respondents with a lower age, who were male, had a higher household income, and a higher QOL stated a higher WTP for QOL gains. CONCLUSIONS: Our results suggest that-if the aim is to align resource-allocation decisions in healthcare with societal preferences-currently applied equity weights do not suffice.


Subject(s)
Choice Behavior , Cost-Benefit Analysis , Financing, Personal , Patient Outcome Assessment , Quality-Adjusted Life Years , Severity of Illness Index , Adult , Age Factors , Death , Female , Humans , Male , Middle Aged , Netherlands , Resource Allocation/economics , Surveys and Questionnaires
7.
Value Health ; 24(4): 530-538, 2021 04.
Article in English | MEDLINE | ID: mdl-33840431

ABSTRACT

OBJECTIVES: To develop a hospital indicator of resource use for injury admissions. METHODS: We focused on resource use for acute injury care and therefore adopted a hospital perspective. We included patients ≥16 years old with an Injury Severity Score >9 admitted to any of the 57 trauma centers of an inclusive Canadian trauma system from 2014 to 2018. We extracted data from the trauma registry and hospital financial reports and estimated resource use with activity-based costing. We developed risk-adjustment models by trauma center designation level (I/II and III/IV) for the whole sample, traumatic brain injuries, thoraco-abdominal injuries, orthopedic injuries, and patients ≥65 years old. Candidate variables were selected using bootstrap resampling. We performed benchmarking by comparing the adjusted mean cost in each center, obtained using shrinkage estimates, to the provincial mean. RESULTS: We included 38 713 patients. The models explained between 12% and 36% (optimism-corrected r2) of the variation in resource use. In the whole sample and in all subgroups, we identified centers with higher- or lower-than-expected resource use across level I/II and III/IV centers. CONCLUSIONS: We propose an algorithm to produce the indicator using data routinely collected in trauma registries to prompt targeted exploration of potential areas for improvement in resource use for injury admissions. The r2 of our models suggest that between 64% and 88% of the variation in resource use for injury care is dictated by factors other than patient baseline risk.


Subject(s)
Injury Severity Score , Resource Allocation/economics , Resource Allocation/methods , Risk Adjustment/methods , Risk Adjustment/standards , Wounds and Injuries/economics , Adolescent , Adult , Aged , Aged, 80 and over , Algorithms , Benchmarking , Female , Health Status Indicators , Humans , Male , Middle Aged , Quebec , Registries , Retrospective Studies , Severity of Illness Index , Young Adult
10.
Cien Saude Colet ; 26(3): 1001-1012, 2021 Mar.
Article in Portuguese, English | MEDLINE | ID: mdl-33729354

ABSTRACT

The American response to the pandemic involves a prominent volume of federal resources, especially for developing and acquiring products for internal use, such as diagnostics or vaccines. Investment mechanisms and historical aspects justify this expenditure. Thus, the social construction of nationalism in American society hinders access to health technologies. The review of such aspects shows how the United States (U.S.) secured a large number of potential products, ensuring excessive local production. This unilateral foreign policy has influenced other countries or regional blocs and undermined global cooperation and solidarity, affecting the collective health of several nations.


A resposta americana à pandemia envolve um proeminente volume de recursos federais, em especial destinados ao desenvolvimento e aquisição de produtos no uso interno, como diagnósticos ou vacinas. As justificativas para esse desembolso se baseiam em mecanismos de investimentos e aspectos históricos. Assim, a construção social do nacionalismo na formação na sociedade americana prejudica o acesso a tecnologias em saúde. A revisão desses aspectos demonstra como os Estados Unidos (EUA) garantiram compra de grande quantitativo de produtos em potencial, inclusive assegurando excessiva produção local. Essa política externa unilateral tem influenciado outros países ou blocos regionais e prejudicado a cooperação e a solidariedade global com impacto na saúde coletiva de diversas nações.


Subject(s)
COVID-19/epidemiology , Global Health , International Cooperation , Pandemics , COVID-19/diagnosis , COVID-19/therapy , COVID-19 Testing/statistics & numerical data , COVID-19 Vaccines/supply & distribution , Costs and Cost Analysis , Developing Countries , Diffusion of Innovation , Economics , Health Resources/economics , Health Resources/supply & distribution , Health Services Accessibility , Humans , Political Systems , Resource Allocation/economics , Resource Allocation/methods , United States/epidemiology , United States Dept. of Health and Human Services/economics
11.
Ciênc. Saúde Colet. (Impr.) ; 26(3): 1001-1012, mar. 2021. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1153847

ABSTRACT

Resumo A resposta americana à pandemia envolve um proeminente volume de recursos federais, em especial destinados ao desenvolvimento e aquisição de produtos no uso interno, como diagnósticos ou vacinas. As justificativas para esse desembolso se baseiam em mecanismos de investimentos e aspectos históricos. Assim, a construção social do nacionalismo na formação na sociedade americana prejudica o acesso a tecnologias em saúde. A revisão desses aspectos demonstra como os Estados Unidos (EUA) garantiram compra de grande quantitativo de produtos em potencial, inclusive assegurando excessiva produção local. Essa política externa unilateral tem influenciado outros países ou blocos regionais e prejudicado a cooperação e a solidariedade global com impacto na saúde coletiva de diversas nações.


Abstract The American response to the pandemic involves a prominent volume of federal resources, especially for developing and acquiring products for internal use, such as diagnostics or vaccines. Investment mechanisms and historical aspects justify this expenditure. Thus, the social construction of nationalism in American society hinders access to health technologies. The review of such aspects shows how the United States (U.S.) secured a large number of potential products, ensuring excessive local production. This unilateral foreign policy has influenced other countries or regional blocs and undermined global cooperation and solidarity, affecting the collective health of several nations.


Subject(s)
Humans , Global Health , Coronavirus Infections/epidemiology , Pandemics , International Cooperation , Political Systems , United States/epidemiology , United States Dept. of Health and Human Services/economics , Coronavirus Infections/diagnosis , Coronavirus Infections/therapy , Costs and Cost Analysis , Resource Allocation/economics , Resource Allocation/methods , Developing Countries , Diffusion of Innovation , Economics , Health Resources/economics , Health Resources/supply & distribution , Health Services Accessibility
12.
J Diabetes Sci Technol ; 15(5): 1005-1009, 2021 09.
Article in English | MEDLINE | ID: mdl-33593089

ABSTRACT

The COVID-19 pandemic raised distinct challenges in the field of scarce resource allocation, a long-standing area of inquiry in the field of bioethics. Policymakers and states developed crisis guidelines for ventilator triage that incorporated such factors as immediate prognosis, long-term life expectancy, and current stage of life. Often these depend upon existing risk factors for severe illness, including diabetes. However, these algorithms generally failed to account for the underlying structural biases, including systematic racism and economic disparity, that rendered some patients more vulnerable to these conditions. This paper discusses this unique ethical challenge in resource allocation through the lens of care for patients with severe COVID-19 and diabetes.


Subject(s)
COVID-19/therapy , Diabetes Complications/therapy , Diabetes Mellitus/therapy , Resource Allocation , COVID-19/complications , COVID-19/epidemiology , Diabetes Complications/economics , Diabetes Complications/epidemiology , Diabetes Mellitus/economics , Diabetes Mellitus/epidemiology , Health Services Accessibility/economics , Health Services Accessibility/ethics , Health Services Accessibility/standards , Health Services Accessibility/statistics & numerical data , Health Status Disparities , Healthcare Disparities/economics , Healthcare Disparities/ethics , Healthcare Disparities/organization & administration , Healthcare Disparities/statistics & numerical data , Humans , Pandemics , Racism/ethics , Racism/statistics & numerical data , Resource Allocation/economics , Resource Allocation/ethics , Resource Allocation/organization & administration , Resource Allocation/statistics & numerical data , Triage/economics , Triage/ethics , United States/epidemiology , Ventilators, Mechanical/economics , Ventilators, Mechanical/statistics & numerical data , Ventilators, Mechanical/supply & distribution
13.
PLoS One ; 16(2): e0246728, 2021.
Article in English | MEDLINE | ID: mdl-33606746

ABSTRACT

BACKGROUND: This study aimed to illustrate the potential utility of a simple filter model in understanding the patient outcome and cost-effectiveness implications for depression interventions in primary care. METHODS: Modelling of hypothetical intervention scenarios during different stages of the treatment pathway was conducted. RESULTS: Three scenarios were developed for depression related to increasing detection, treatment response and treatment uptake. The incremental costs, incremental number of successes (i.e., depression remission) and the incremental costs-effectiveness ratio (ICER) were calculated. In the modelled scenarios, increasing provider treatment response resulted in the greatest number of incremental successes above baseline, however, it was also associated with the greatest ICER. Increasing detection rates was associated with the second greatest increase to incremental successes above baseline and had the lowest ICER. CONCLUSIONS: The authors recommend utility of the filter model to guide the identification of areas where policy stakeholders and/or researchers should invest their efforts in depression management.


Subject(s)
Cost-Benefit Analysis/methods , Depression/therapy , General Practice/economics , General Practice/methods , Primary Health Care/organization & administration , Resource Allocation , Depression/diagnosis , Humans , Models, Statistical , Quality-Adjusted Life Years , Resource Allocation/economics , Resource Allocation/organization & administration
15.
PLoS One ; 16(1): e0244946, 2021.
Article in English | MEDLINE | ID: mdl-33507900

ABSTRACT

PURPOSE: SDG 5.3 targets include eliminating harmful practices such as Female Genital Mutilation (FGM). Limited information is available about levels of investment needed and realistic estimates of potential incidence change. In this work, we estimate the cost and impact of FGM programs in 31 high burden countries. METHODS: This analysis combines program data, secondary data analysis, and population-level costing methods to estimate cost and impact of high and moderate scaleup of FGM programs between 2020 and 2030. Cost per person or community reached was multiplied by populations to estimate costs, and regression analysis was used to estimate new incidence rates, which were applied to populations to estimate cases averted. RESULTS: Reaching the high-coverage targets for 31 countries by 2030 would require an investment of US$ 3.3 billion. This scenario would avert more than 24 million cases of FGM, at an average cost of US$ 134 per case averted. A moderate-coverage scenario would cost US$ 1.6 billion and avert more than 12 million cases of FGM. However, average cost per case averted hides substantial variation based on country dynamics. The most cost-effective investment would be in countries with limited historic change in FGM incidence, with the average cost per case averted between US$ 3 and US$ 90. The next most effective would be those with high approval for FGM, but a preexisting trend downward, where cost per case averted is estimated at around US$ 240. INTERPRETATION: This analysis shows that although data on FGM is limited, we can draw useful findings from population-level surveys and program data to guide resource mobilization and program planning.


Subject(s)
Circumcision, Female/economics , Health Care Costs , Circumcision, Female/statistics & numerical data , Community Health Services/economics , Female , Global Health/economics , Global Health/statistics & numerical data , Health Care Costs/statistics & numerical data , Humans , Incidence , Prevalence , Resource Allocation/economics
16.
J Thorac Cardiovasc Surg ; 162(4): 1284-1293.e4, 2021 Oct.
Article in English | MEDLINE | ID: mdl-32977961

ABSTRACT

OBJECTIVE: The purpose of this study was to recognize clinically meaningful differences in lung transplant outcomes based on local or distant lung procurement. This could identify if the lung allocation policy change would influence patient outcomes. METHODS: This single-center retrospective cohort study analyzed adult patients who underwent lung transplant from 2006 to 2017. Donor and recipient data were abstracted from a collaborative, prospective registry shared by our local organ procurement organization, and tertiary medical center. Short-term outcomes, 1-year survival, and hospitalization costs were compared between local and distant lung transplants defined by donor service area. RESULTS: Of the 722 lung transplants performed, 392 (54%) had local donors and 330 (46%) had distant donors. Donors were similar in age and cause of death. Recipients were significantly different in diagnosis and local recipients had lower median lung allocation scores (local, 37.3 and distant, 44.9; P < .01). Distant lung transplants had longer total ischemic times (local, 231 ± 52 minutes and distant, 313 ± 48 minutes; P < .01). The rate of major complications, length of hospital stay, and 1-year survival were similar between groups. Distant lung transplants were associated with higher median overall cost (local, $183,542 and distant, $229,871; P < .01). Local lung transplants were more likely to be performed during daytime (local, 333 out of 392 [85%] and distant, 291 out of 330 [61%]; P < .01). CONCLUSIONS: Local lung transplants are associated with shorter ischemic times, lower cost, and greater likelihood of daytime surgery. Short- and intermediate-term outcomes are similar for lung transplants from local and distant donors. The new lung allocation policy, with higher proportion of distant lung transplants, is likely to incur greater costs but provide similar outcomes.


Subject(s)
Graft Survival , Lung Transplantation , Postoperative Complications , Resource Allocation , Tissue and Organ Procurement , Transplants/supply & distribution , Adult , Cold Ischemia/statistics & numerical data , Female , Humans , Lung/blood supply , Lung Transplantation/adverse effects , Lung Transplantation/economics , Lung Transplantation/methods , Lung Transplantation/statistics & numerical data , Male , Outcome Assessment, Health Care , Policy Making , Postoperative Complications/diagnosis , Postoperative Complications/etiology , Postoperative Complications/prevention & control , Registries/statistics & numerical data , Resource Allocation/economics , Resource Allocation/methods , Retrospective Studies , Tertiary Care Centers/statistics & numerical data , Tissue Donors/classification , Tissue Donors/statistics & numerical data , Tissue and Organ Procurement/methods , Tissue and Organ Procurement/organization & administration , Tissue and Organ Procurement/supply & distribution , Topography, Medical , United States
17.
Expert Rev Pharmacoecon Outcomes Res ; 21(5): 1049-1060, 2021 Oct.
Article in English | MEDLINE | ID: mdl-32777958

ABSTRACT

OBJECTIVES: The pharmacoeconomic studies of traditional Chinese medicine (TCM) are still in its infancy. Assessing the quality of pharmacoeconomic studies of TCM to improve the efficiency of health resource allocation and guide the rational use of medicine. METHODS: Four databases were searched from inception to January 2018. The Consolidated Health Economic Evaluation Reporting Standards statement (CHEERS) and the Quality of Health Economic Studies (QHES) were used to assess the reporting quality and methodological quality. STATA 12.0 and Meta analyst 3.13 were used to analyze the related data. RESULTS: A total of 178 studies were included. The methodological evaluation of the study found that the total score of QHES was 47.85 ± 8.09. The report quality evaluation results found that many studies did not report comprehensive information, such as lack of detailed reports on abstracts, study perspectives, time frames, discount rates, model selection, but the titles, study background and location, and health results, resource and cost estimates, analysis methods, and heterogeneity analysis are reported in more detail. Six of the ten stratification factors have statistically significant differences. CONCLUSION: The overall quality of pharmacoeconomic studies of TCM is low, and further standardization and improvement are needed to obtain reliable study results.


Subject(s)
Economics, Pharmaceutical/standards , Medicine, Chinese Traditional/economics , Research Design/standards , China , Databases, Factual , Economics, Medical , Humans , Models, Theoretical , Research Report/standards , Resource Allocation/economics
18.
Health Care Anal ; 29(1): 59-77, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33367979

ABSTRACT

Allocating on the basis of need is a distinguishing principle in publicly funded health care systems. Resources ought to be directed to patients, or the health program, where the need is considered greatest. In Sweden support of this principle can be found in health care legislation. Today however some domains of what appear to be health care needs are excluded from the responsibilities of the publicly funded health care system. Corrections of eye disorders known as refractive errors is one such domain. In this article the moral legitimacy of this exception is explored. Individuals with refractive errors need spectacles, contact lenses or refractive surgery to do all kinds of thing, including participating in everyday activities, managing certain jobs, and accomplishing various goals in life. The relief of correctable visual impairments fits well into the category of what we typically consider a health care need. The study of refractive errors does belong to the field of medical science, interventions to correct such errors can be performed by medical means, and the skills of registered health care professionals are required when it comes to correcting refractive error. As visual impairments caused by other conditions than refractive errors are treated and funded within the public health care system in Sweden this is an inconsistency that needs to be addressed.


Subject(s)
Delivery of Health Care/economics , Ethical Analysis , Health Services Needs and Demand , Public Sector/economics , Refractive Errors/therapy , Resource Allocation/economics , Activities of Daily Living , Adult , Female , Health Services Needs and Demand/economics , Health Services Needs and Demand/legislation & jurisprudence , Humans , Male , Sweden
20.
Chest ; 159(5): 1854-1866, 2021 05.
Article in English | MEDLINE | ID: mdl-33253754

ABSTRACT

BACKGROUND: The Pareto principle states that the majority of any effect comes from a minority of the causes. This property is widely used in quality improvement science. RESEARCH QUESTION: Among patients requiring mechanical ventilation (MV), are there subgroups according to MV duration that may serve as potential nodes for high-value interventions aimed at reducing costs without compromising quality? STUDY DESIGN AND METHODS: This multicenter retrospective cohort study included approximately 780 hospitals in the Premier Research Database (2014-2018). Patients receiving MV were identified by using International Classification of Diseases, Ninth Revision, Clinical Modification, and International Classification of Diseases, Tenth Revision, codes. They were then divided into quintiles according to MV duration; their hospital costs, post-MV onset length of stay (LOS), ICU LOS, and cumulative post-MV onset hospital days per quintile were compared. RESULTS: A total of 691,961 patients were included in the analysis. Median [interquartile range] duration of MV in days by quintile was as follows: quintile 1 (Q1), 1 [1, 1]; Q2, 2 [2, 2]; Q3, 3 [3, 3]; Q4, 6 [6, 7]; and Q5, 13 [10, 19]. Median [interquartile range] post-MV onset LOS (Q1, 2 [0, 5]; Q5, 17 [12, 26]) and hospital costs (Q1, $15,671 [$9,180, $27,901]; Q5, $70,133 [$47,136, $108,032]) rose from Q1 through Q5. Patients in Q5 consumed 47.7% of all post-MV initiation hospital days among all patients requiring MV, and the mean per-patient hospital costs in Q5 exceeded the sum of costs incurred by Q1 to Q3. Adjusted marginal mean (95% CI) hospital costs rose exponentially from Q1 through Q5: Q2 vs Q1, $3,976 ($3,354, $4,598); Q3 vs Q2, $5,532 ($5,103, $5,961); Q4 vs Q3, $11,705 ($11,071, $12,339); and Q5 vs Q4, $26,416 ($25,215, $27,616). INTERPRETATION: Patients undergoing MV in the highest quintiles according to duration of MV consume a disproportionate amount of resources, as evidenced by MV duration, hospital LOS, and costs, making them a potential target for streamlining MV care.


Subject(s)
Resource Allocation/economics , Respiration, Artificial/economics , Anti-Bacterial Agents/economics , Bronchoscopy/economics , Comorbidity , Cross Infection/economics , Databases, Factual , Female , Hospital Costs , Humans , Length of Stay/economics , Male , Middle Aged , Pneumonia, Ventilator-Associated/drug therapy , Pneumonia, Ventilator-Associated/economics , Pneumonia, Ventilator-Associated/microbiology , Quality Assurance, Health Care , Retrospective Studies , Tracheostomy/economics
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