Modern Health Worries, Subjective Health Complaints, Health Care Utilization, and Sick Leave in the Norwegian Working Population

2012 ◽  
Vol 20 (3) ◽  
pp. 371-377 ◽  
Author(s):  
Anne-Marthe Rustad Indregard ◽  
Camilla Martha Ihlebæk ◽  
Hege Randi Eriksen
2018 ◽  
Vol 3 (1) ◽  
pp. 238146831878109 ◽  
Author(s):  
Mary C. Politi ◽  
Enbal Shacham ◽  
Abigail R. Barker ◽  
Nerissa George ◽  
Nageen Mir ◽  
...  

Objective. Numerous electronic tools help consumers select health insurance plans based on their estimated health care utilization. However, the best way to personalize these tools is unknown. The purpose of this study was to compare two common methods of personalizing health insurance plan displays: 1) quantitative healthcare utilization predictions using nationally representative Medical Expenditure Panel Survey (MEPS) data and 2) subjective-health status predictions. We also explored their relations to self-reported health care utilization. Methods. Secondary data analysis was conducted with responses from 327 adults under age 65 considering health insurance enrollment in the Affordable Care Act (ACA) marketplace. Participants were asked to report their subjective health, health conditions, and demographic information. MEPS data were used to estimate predicted annual expenditures based on age, gender, and reported health conditions. Self-reported health care utilization was obtained for 120 participants at a 1-year follow-up. Results. MEPS-based predictions and subjective-health status were related ( P < 0.0001). However, MEPS-predicted ranges within subjective-health categories were large. Subjective health was a less reliable predictor of expenses among older adults (age × subjective health, P = 0.04). Neither significantly related to subsequent self-reported health care utilization ( P = 0.18, P = 0.92, respectively). Conclusions. Because MEPS data are nationally representative, they may approximate utilization better than subjective health, particularly among older adults. However, approximating health care utilization is difficult, especially among newly insured. Findings have implications for health insurance decision support tools that personalize plan displays based on cost estimates.


2005 ◽  
Vol 50 (7) ◽  
pp. 1245-1251 ◽  
Author(s):  
Ragna Lind ◽  
Gülen Arslan ◽  
Hege R. Eriksen ◽  
Gudrun Kahrs ◽  
Tone Tangen Haug ◽  
...  

2017 ◽  
Vol 4 (1) ◽  
pp. 1308082
Author(s):  
Hilde Stendal Robinson ◽  
Camilla Coward ◽  
Wenche S. Bjorbækmo ◽  
Eva Langeland ◽  
Albert Lee

2021 ◽  
Vol 12 ◽  
Author(s):  
Kenneth Sandin ◽  
Gemma E. Shields ◽  
Ragne G. H. Gjengedal ◽  
Kåre Osnes ◽  
Marianne Tranberg Bjørndal ◽  
...  

Objectives: The EQ-5D is a generic, self-report measure of health that is increasingly used in clinical settings, including mental health. The EQ-5D captures health using five dimensions: Mobility, Self-care, Usual activities, Pain/discomfort, and Anxiety/Depression. The validity of the EQ-5D is previously unexplored in patients on or at risk of sick leave due to depression and anxiety. The study’s aim was to examine its validity in this group of patients.Methods: Baseline data were collected from self-report questionnaires in an observational study (N=890) at a Norwegian outpatient-clinic. Participants were adults on or at risk of sick leave due to depression and anxiety who were referred for treatment by general practitioners. The crosswalk methodology was applied to estimate the EQ-5D value. Validity was assessed by comparing responses on the EQ-5D with the Beck Depression Inventory-II (BDI-II), the Beck Anxiety Inventory (BAI), and Subjective Health Complaints (SHC). An ordinal regression model was used to assess known-groups validity. Convergent validity was assessed using Pearson’s correlation coefficient, and a multivariate regression model that included sociodemographic characteristics.Results: The mean EQ-5D value was 0.631, indicating reduced health status compared to “full health” anchored at 1.0, and patients reported moderate levels of depression and anxiety. Ordinal regression indicated that the EQ-5D could discriminate between different levels of symptom severity for depression and anxiety. The EQ-5D value showed significant correlation with the clinical measures; r=−0.52 for the BDI-II, r=−0.49 for the BAI, and r=−0.44 for SHC. The multivariate regression showed that the clinical variables significantly predicted the EQ-5D value, explaining 40.1% of the variance. Depression and anxiety scores were the largest determinants of EQ-5D value, respectively, whilst sick leave, subjective health complaints, and gender made moderate contributions.Conclusion: The EQ-5D showed indication of validity in patients on or at risk of sick leave due to depression and anxiety in the present study. The EQ-5D value was sensitive to both symptom severity and functional impairment in the form of sick leave. The findings support the EQ-5D as a feasible and relevant measure of health status in these patients.


2020 ◽  
Vol 29 (9) ◽  
pp. 1062-1070
Author(s):  
Jie Chen ◽  
Chad D. Meyerhoefer ◽  
Lizhong Peng

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