| 1. |
- Olofsson, Sara, et al.
(author)
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Dread and Risk Elimination Premium for the Value of a Statistical Life
- 2019
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In: Risk Analysis. - : Blackwell Publishing. - 0272-4332 .- 1539-6924. ; 39:11, s. 2391-2407
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Journal article (peer-reviewed)abstract
- The value of a statistical life (VSL) is a widely used measure for the value of mortality risk reduction. As VSL should reflect preferences and attitudes to risk, there are reasons to believe that it varies depending on the type of risk involved. It has been argued that cancer should be considered a "dread disease," which supports the use of a "cancer premium." The objective of this study is to investigate the existence of a cancer premium (for pancreatic cancer and multiple myeloma) in relation to road traffic accidents, sudden cardiac arrest, and amyotrophic lateral sclerosis (ALS). Data were collected from 500 individuals in the Swedish general population of 50-74-year olds using a web-based questionnaire. Preferences were elicited using the contingent valuation method, and a split-sample design was applied to test scale sensitivity. VSL differs significantly between contexts, being highest for ALS and lowest for road traffic accidents. A premium (92-113%) for cancer was found in relation to road traffic accidents. The premium was higher for cancer with a shorter time from diagnosis to death. A premium was also found for sudden cardiac arrest (73%) and ALS (118%) in relation to road traffic accidents. Eliminating risk was associated with a premium of around 20%. This study provides additional evidence that there exist a dread premium and risk elimination premium. These factors should be considered when searching for an appropriate value for economic evaluation and health technology assessment.
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| 2. |
- Borg, Sixten, et al.
(author)
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Patient-reported outcome and experience measures for diabetes: development of scale models, differences between patient groups and relationships with cardiovascular and diabetes complication risk factors, in a combined registry and survey study in Sweden
- 2018
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In: BMJ Open. - : BMJ. - 2044-6055. ; 9:1
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Journal article (peer-reviewed)abstract
- Purpose The Swedish National Diabetes Register (NDR) has developed a diabetes-specific questionnaire to collect information on individuals' management of their diabetes, collaboration with healthcare providers and the disease’s impact on daily life. Our main objective was to develop measures of well-being, abilities to manage diabetes and judgements of diabetes care, and to detect and quantify differences using the NDR questionnaire.Design, setting and participants The questionnaire was analysed with using responses from 3689 participants with type 1 and 2 diabetes, randomly sampled from the NDR population, combined with register data on patient characteristics and cardiovascular and diabetes complication risk factors.Methods We used item response theory to develop scales for measuring well-being, abilities to manage diabetes and judgements of diabetes care (scores). Test–retest reliability on the scale level was analysed with intraclass correlation. Associations between scores and risk factor levels were investigated with subgroup analyses and correlations.Results We obtained scales with satisfactory measurement properties, covering patient reported outcome measures such as general well-being and being free of worries, and patient reported experience measure, for example, access and continuity in diabetes care. All scales had acceptable test–retest reliability and could detect differences between diabetes types, age, gender and treatment subgroups. In several aspects, for example, freedom of worries, type 1 patients report lower than type 2, and younger patients lower than older. Associations were found between some scores and glycated haemoglobin, but none with systolic blood pressure or low-density lipoprotein cholesterol. Clinicians report positive experience of using scores, visually presented, in the patient dialogue.Conclusions The questionnaire measures and detects differences in patient well-being, abilities and judgements of diabetes care, and identifies areas for improvement. To further improve diabetes care, we conclude that patient-reported measures are important supplements to cardiovascular and diabetes complication risk factors, reflecting patient experiences of living with diabetes and diabetes care.
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| 3. |
- Borg, Sixten, et al.
(author)
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Quality of life in chronic conditions using patient-reported measures and biomarkers: a DEA analysis in type 1 diabetes
- 2019
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In: Health Economics Review. - : Springer Science and Business Media LLC. - 2191-1991. ; 9:1
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Journal article (peer-reviewed)abstract
- Background A chronic disease impacts a patient's daily life, with the burden of symptoms and managing the condition, and concerns of progression and disease complications. Such aspects are captured by Patient-Reported Outcomes Measures (PROM), assessments of e.g. wellbeing. Patient-Reported Experience Measures (PREM) assess patients' experiences of healthcare and address patient preferences. Biomarkers are useful for monitoring disease activity and treatment effect and determining risks of progression and complications, and they provide information on current and future health. Individuals may differ in which among these aspects they consider important. We aimed to develop a measure of quality of life using biomarkers, PROM and PREM, that would provide an unambiguous ranking of individuals, without presuming any specific set of importance weights. We anticipated it would be useful for studying needs and room for improvement, estimating the effects of interventions and comparing alternatives, and for developing healthcare with a broad focus on the individual. We wished to examine if efficiency analysis could be used for this purpose, in an application to individuals with type 1 diabetes. Results We used PROM and PREM data linked to registry data on risk factors, in a large sample selected from the National Diabetes Registry in Sweden. Efficiency analysis appears useful for evaluating the situation of individuals with type 1 diabetes. Quality of life was estimated as efficiency, which differed by age. The contribution of different components to quality of life was heterogeneous, and differed by gender, age and duration of diabetes. Observed quality of life shortfall was mainly due to inefficiency, and to some extent due to the level of available inputs. Conclusions The efficiency analysis approach can use patient-reported outcomes measures, patient-reported experience measures and comorbidity risk factors to estimate quality of life with a broad focus on the individual, in individuals with type 1 diabetes. The approach enables ranking and comparisons using all these aspects in parallel, and allows each individual to express their own view of which aspects are important to them. The approach can be used for policy regarding interventions on inefficiency as well as healthcare resource allocation, although currently limited to type 1 diabetes.
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| 4. |
- Brinda, Ethel M., et al.
(author)
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Health, Social, and Economic Variables Associated with Depression Among Older People in Low and Middle Income Countries : World Health Organization Study on Global AGEing and Adult Health
- 2016
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In: American Journal of Geriatric Psychiatry. - : Elsevier BV. - 1064-7481. ; 24:12, s. 1196-1208
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Journal article (peer-reviewed)abstract
- Objective Although depression among older people is an important public health problem worldwide, systematic studies evaluating its prevalence and determinants in low and middle income countries (LMICs) are sparse. The biopsychosocial model of depression and prevailing socioeconomic hardships for older people in LMICs have provided the impetus to determine the prevalence of geriatric depression; to study its associations with health, social, and economic variables; and to investigate socioeconomic inequalities in depression prevalence in LMICs. Methods The authors accessed the World Health Organization Study on Global AGEing and Adult Health Wave 1 data that studied nationally representative samples from six large LMICs (N = 14,877). A computerized algorithm derived depression diagnoses. The authors assessed hypothesized associations using survey multivariate logistic regression models for each LMIC and pooled their risk estimates by meta-analyses and investigated related socioeconomic inequalities using concentration indices. Results Cross-national prevalence of geriatric depression was 4.7% (95% CI: 1.9%–11.9%). Female gender, illiteracy, poverty, indebtedness, past informal-sector occupation, bereavement, angina, and stroke had significant positive associations, whereas pension support and health insurance showed significant negative associations with geriatric depression. Pro-poor inequality of geriatric depression were documented in five LMICs. Conclusions Socioeconomic factors and related inequalities may predispose, precipitate, or perpetuate depression amongolder people in LMICs. Relative absence of health safety net places socioeconomically disadvantaged older people in LMICs at risk. The need for population-based public health interventions and policies to prevent and to manage geriatric depression effectively in LMICs cannot be overemphasized.
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| 5. |
- Dackehag, Margareta, et al.
(author)
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Debt and mental health : new insights about the relationship and the importance of the measure of mental health
- 2019
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In: European Journal of Public Health. - : Oxford University Press (OUP). - 1101-1262 .- 1464-360X. ; 29:3, s. 488-493
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Journal article (peer-reviewed)abstract
- BACKGROUND: Empirical research suggests that household debt and payment difficulties are detrimental to mental health. Despite well-known measurement problems that may contaminate analyses using subjective self-reported health measures, our knowledge is very limited concerning the effect of payment difficulties on 'objective' measures of mental health. Moreover, few studies use longitudinal data to examine the relationship. This study combines rich survey data and longitudinal data from administrative registers on a representative sample of the Swedish population to examine the relationship between payment difficulties and subjective and objective measures of mental health. METHODS: We use data from a large survey of Swedish inhabitants (The Swedish Living Conditions Surveys) combined with data from administrative registers. We investigate both directions of the relationship between mental ill health and payment difficulties, controlling for previous mental health status and previous experiences of payment difficulties. We compare the association between payment difficulties and a self-reported measure of anxiety with the associations between payment difficulties and objective measures of mental ill health from a register of psychopharmaceutical drug consumption. RESULTS: Payment difficulties associate with subjectively reported mental ill health, but less to psychopharmaca use. For objective measures, we find stronger evidence of a link running from mental ill health to later payment difficulties. CONCLUSIONS: Self-reported and objective measures of mental problems may convey different messages regarding the impact of payment difficulties on mental health. Policy measures depend on whether the primary target group is individuals with severe mental problems or individuals with mild anxiety.
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| 6. |
- Heckley, Gawain, et al.
(author)
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A general method for decomposing the causes of socioeconomic inequality in health
- 2016
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In: Journal of Health Economics. - : Elsevier BV. - 0167-6296 .- 1879-1646. ; 48, s. 89-106
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Journal article (peer-reviewed)abstract
- We introduce a general decomposition method applicable to all forms of bivariate rank dependent indices of socioeconomic inequality in health, including the concentration index. The technique is based on recentered influence function regression and requires only the application of OLS to a transformed variable with similar interpretation. Our method requires few identifying assumptions to yield valid estimates in most common empirical applications, unlike current methods favoured in the literature. Using the Swedish Twin Registry and a within twin pair fixed effects identification strategy, our new method finds no evidence of a causal effect of education on income-related health inequality.
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| 7. |
- Jarl, Johan, et al.
(author)
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Effects of Kidney Transplantation on Labor Market Outcomes in Sweden
- 2018
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In: Transplantation. - 0041-1337. ; 102:8, s. 1375-1381
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Journal article (peer-reviewed)abstract
- Background: Kidney transplantation is considered a superior treatment for end-stage renal disease compared with dialysis although little is known about the wider effects, especially on labor market outcomes. The objective is to estimate the treatment effect of kidney transplantation compared with dialysis on labor market outcomes, controlling for the nonrandom selection into treatment. Methods: The average treatment effect is estimated using an inverse-probability weighting regression adjustment approach on all patients in renal replacement therapy 1995 to 2012. Results: Kidney transplantation is associated with a treatment advantage over dialysis on employment, labor force participation, early retirement, and labor income. The probability of being employed 1 year after treatment is 21 (95% confidence interval, 16-25) percentage points higher for transplantation. The positive effect increases to 38 (95% confidence interval, 30-46) percentage points after 5 years, mainly due to worsening outcomes on dialysis. The effect on labor income is mainly mediated through employment probability. The productivity gains of transplantation compared to dialysis amounts to €33 000 over 5 years. Conclusions: Transplantation is superior to dialysis in terms of potential to return to work as well as in terms of labor income and risk of early retirement, after controlling for treatment selection. This positive effect increases over time after transplantation.
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| 8. |
- Kjellsson, Gustav, et al.
(author)
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The authors respond
- 2016
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In: Epidemiology. - 1044-3983. ; 27:3, s. 16-17
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Journal article (peer-reviewed)
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| 9. |
- Persson, Emma, 1981-, et al.
(author)
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Effect of type 1 diabetes on school performance in a dynamic world : new analysis exploring Swedish register data
- 2019
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In: Applied Economics. - : Taylor & Francis Group. - 0003-6846 .- 1466-4283. ; 51:24, s. 2606-2622
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Journal article (peer-reviewed)abstract
- This paper investigates if the effect of type 1 diabetes mellitus (T1DM) on school performance, documented in prior research, has changed in more recent birth cohorts of children using national Swedish population register data. The issue is of interest because management and treatment of the disease have improved over the last decades and, furthermore, because of changes in the educational grading system. Despite these changes, data indicate a persistent negative effect of T1DM on compulsory and upper secondary school grades with a standardized effect size of −0.109 and −0.070, respectively, and the results appear only marginally smaller compared to earlier findings in cohorts completing school under the previous grading system. Moreover, the results are consistent for alternative model specifications and econometric estimation strategies. Whereas access to new treatment technologies and improved diabetes management strategies has reduced the burden of diabetes in daily life, the results from this study indicate that continued efforts are needed to improve the situation in school for children with T1DM to prevent potential long-term socio-economic consequences.
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| 10. |
- Persson, Sofie, et al.
(author)
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Labor market consequences of childhood onset type 1 diabetes
- 2016
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In: Economics and Human Biology. - : Elsevier BV. - 1570-677X. ; 23, s. 180-192
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Journal article (peer-reviewed)abstract
- This paper examines the effect of the onset of Type 1 Diabetes Mellitus (T1DM) before 15 years of age on labor market outcomes and contributes to the literature on effects of childhood health on adult socioeconomic status. Using national Swedish socioeconomic register data 1991–2010 for 2485 individuals born 1972–1978 with onset of T1DM in 1977–1993, we find that T1DM in childhood has a negative effect on labor market outcomes later in life. Part of the T1DM effect is channeled through occupational field which may be related to both choice and opportunities. Although the magnitude of the effect is only directly generalizable to illnesses with similar attributes as T1DM, the results suggest that causality in the often observed correlation between health and socioeconomic status, at least partly, is explained by an effect running from health to earnings. This has implications for research and policy on strategies to reduce socioeconomic-related health inequality. Our findings also shed light on productivity losses, measured by employment status and earnings due to childhood onset T1DM, which have implications for both the individual and society.
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