PHQ-9, CES-D, health insurance data-who is identified with depression? A Population-based study in persons with diabetes

AIMS

Several instruments are used to identify depression among patients with diabetes and have been compared for their test criteria, but, not for the overlaps and differences, for example, in the sociodemographic and clinical characteristics of the individuals identified with different instruments.

METHODS

We conducted a cross-sectional survey among a random sample of a statutory health insurance (SHI) (n = 1,579) with diabetes and linked it with longitudinal SHI data. Depression symptoms were identified using either the Centre for Epidemiological Studies Depression (CES-D) scale or the Patient Health Questionnaire-9 (PHQ-9), and a depressive disorder was identified with a diagnosis in SHI data, resulting in 8 possible groups. Groups were compared using a multinomial logistic model.

RESULTS

In total 33·0% of our analysis sample were identified with depression by at least one method. 5·0% were identified with depression by all methods. Multinomial logistic analysis showed that identification through SHI data only compared to the group with no depression was associated with gender (women). Identification through at least SHI data was associated with taking antidepressants and previous depression. Health related quality of life, especially the mental summary score was associated with depression but not when identified through SHI data only.

CONCLUSION

The methods overlapped less than expected. We did not find a clear pattern between methods used and characteristics of individuals identified. However, we found first indications that the choice of method is related to specific underlying characteristics in the identified population. These findings need to be confirmed by further studies with larger study samples.

Clinical efficacy and safety outcomes of bempedoic acid for LDL-C lowering therapy in patients at high cardiovascular risk: a systematic review and meta-analysis

Background

Bempedoic acid (BA) is a novel oral low-density lipoprotein cholestrol (LDL-C) lowering drug. Its efficacy and safety for clinical outcomes in high cardiovascular risk patients remains unknown.

Objectives and methods

A systematic review was performed and randomized controlled trials (RCTs) of BA vs. placebo in high cardiovascular risk patients reporting clinical efficacy and safety outcomes were included in a meta-analysis. Cumulative odds ratios (OR) and mean differences with 95% confidence intervals (CI) were reported as summary statistics.

Results

Six RCTs with a total of 3,956 patients and follow-ups of four to 52 weeks were identified. There was no difference in MACE (OR 0.84; CI 0.61, 1.15), all-cause mortality (OR 2.37; CI 0.80, 6.99) and cardiovascular mortality (OR 1.66; CI 0.45, 6.04) for BA vs. placebo. BA showed beneficial trends for nonfatal myocardial infarction (OR 0.57; CI 0.32, 1.00) and was associated with a lower risk of new-onset or worsening of diabetes mellitus (OR 0.68; CI 0.49, 0.94) and non-coronary revascularization (OR 0.41; CI 0.18, 0.95), but higher risk of gout (OR 3.29; CI 1.28, 8.46) and a trend for worsening of renal function (OR 4.24; CI 0.98, 18.39) and muscular disorders (OR 2.60; CI 1.15, 5.91).

Conclusion

Bempedoic acid in high cardiovascular risk patients showed no significant effects on major cardiovascular outcomes in short-term follow-up. Unfavourable effects on muscular disorders, renal function and the incidence of gout sound a note of caution. Hence, further studies with longer-term follow-up are needed to clarify the risk/benefit ratio of this novel therapy.

Funding Acknowledgement

Type of funding sources: None.

Using statutory health insurance data to evaluate non-response in a cross-sectional study on depression among patients with diabetes in Germany

BACKGROUND

Low response rates do not indicate poor representativeness of study populations if non-response occurs completely at random. A non-response analysis can help to investigate whether non-response is a potential source for bias within a study.

METHODS

A cross-sectional survey among a random sample of a health insurance population with diabetes (n = 3642, 58.9% male, mean age 65.7 years), assessing depression in diabetes, was conducted in 2013 in Germany. Health insurance data were available for responders and non-responders to assess non-response bias. The response rate was 51.1%. Odds ratios (ORs) for responses to the survey were calculated using logistic regression taking into consideration the depression diagnosis as well as age, sex, antihyperglycaemic medication, medication utilization, hospital admission and other comorbidities (from health insurance data).

RESULTS

Responders and non-responders did not differ in the depression diagnosis [OR 0.99, confidence interval (CI) 0.82-1.2]. Regardless of age and sex, treatment with insulin only (OR 1.73, CI 1.36-2.21), treatment with oral antihyperglycaemic drugs (OAD) only (OR 1.77, CI 1.49-2.09), treatment with both insulin and OAD (OR 1.91, CI 1.51-2.43) and higher general medication utilization (1.29, 1.10-1.51) were associated with responding to the survey.

CONCLUSION

We found differences in age, sex, diabetes treatment and medication utilization between responders and non-responders, which might bias the results. However, responders and non-responders did not differ in their depression status, which is the focus of the DiaDec study. Our analysis may serve as an example for conducting non-response analyses using health insurance data.

Time spent on self-management by people with diabetes: results from the population-based KORA survey in Germany

AIMS

Time needed for health-related activities in people with diabetes is assumed to be substantial, yet available data are limited. Time spent on self-management and associated factors was analysed using cross-sectional data from people with diagnosed diabetes enrolled in a population-based study.

METHODS

Mean total time spent on self-management activities was estimated using a questionnaire for all participants with diagnosed diabetes in the KORA FF4 study (n = 227, 57% men, mean age 69.7, sd 9.9 years). Multiple two-part regression models were fitted to evaluate associated factors. Multiple imputation was performed to adjust for bias due to missing values.

RESULTS

Some 86% of participants reported spending time on self-management activities during the past week. Over the entire sample, a mean of 149 (sd 241) min/week were spent on self-management-activities. People with insulin or oral anti-hyperglycaemic drug treatment, better diabetes education, HbA_1c 48 to < 58 mmol/mol (6.5% to < 7.5%) or lower quality of life, spent more time on self-management activities. For example, people without anti-hyperglycaemic medication invested 66 min/week in self-management, whereas those taking insulin and oral anti-hyperglycaemic drugs invested 269 min/week (adjusted ratio 4.34, 95% confidence interval 1.85-10.18).

CONCLUSIONS

Time spent on self-management activities by people with diabetes was substantial and varied with an individual's characteristics. Because of the small sample size and missing values, the results should be interpreted in an explorative manner. Nevertheless, time needed for self-management activities should be routinely considered because it may affect diabetes self-care and quality of life.

Assessment of information needs in diabetes: Development and evaluation of a questionnaire

AIM

To develop a questionnaire suitable for assessing the information needs of individuals with diabetes mellitus types 1 and 2 in diverse healthcare settings (e.g. primary care or long-term care) and at different time points during the course of the disease.

METHODS

The initial questionnaire was developed on the basis of literature search and analysis, reviewed by clinical experts, and evaluated in two focus groups. The revised version was pilot-tested on 39 individuals with diabetes type 2, type 1 and gestational diabetes.

RESULTS

The final questionnaire reveals the most important information needs in diabetes. A choice task, a rating task and open-ended questions are combined. First, participants have to choose three topics that interest them out of a list with 12 general topics and specify in their own words their particular information needs for the chosen topics. They are then asked how informed they feel with regard to all topics (4-point Likert-scale), and whether information is currently desired (yes/no). The questionnaire ends with an open-ended question asking for additional topics of interest.

CONCLUSIONS

Careful selection of topics and inclusion of open-ended questions seem to be essential prerequisites for the unbiased assessment of information needs. The questionnaire can be applied in surveys in order to examine patterns of information needs across various groups and changes during the course of the disease. Such knowledge would contribute to more patient-guided information, counselling and support.

Medication costs by glucose tolerance stage in younger and older women and men: results from the population-based KORA survey in Germany

To estimate medication costs in individuals with diagnosed diabetes, undetected diabetes, impaired glucose regulation and normal blood glucose values in a population-based sample by age and sex.Using the KORA F4 follow-up survey, conducted in 2006-2008 (n=2611, age 40-82 years), we identified individuals' glucose tolerance status by means of an oral glucose tolerance test. We assessed all medications taken regularly, calculated age-sex specific medication costs and estimated cost ratios for total, total without antihyperglycemic drugs, and cardiovascular medication, using multiple 2-part regression models.Compared to individuals with normal glucose values, costs were increased in known diabetes, undetected diabetes and impaired glucose regulation, which was more pronounced in participants aged 40-59 years than in those aged 60-82 years (cost ratios for all medications: 40-59 years: 2.85; 95%-confidence interval: 1.78-4.54, 2.00; 1.22-3.29 and 1.53; 1.12-2.09; 60-82 years: 2.04; 1.71-2.43, 1.17; 0.90-1.51 and 1.09; 0.94-1.28). Compared to individuals with diagnosed diabetes, costs were significantly lower among individuals with impaired glucose regulation across all age and sex strata, also when antihyperglycemic medication was excluded (40-59 years: 0.60; 0.36-0.98, 60-82 years: 0.74; 0.60-0.90; men: 0.72; 0.56-0.93; women: 0.72; 0.54-0.96).We could quantify age- and sex-specific medication costs and cost ratios in individuals with diagnosed diabetes, undetected diabetes and impaired glucose regulation compared to those with normal glucose values, using data of a population-based sample, with oral glucose tolerance test-based identification of diabetes states. These results may help to validly estimate cost-effectiveness of screening and early treatment or prevention of diabetes.

Patient time costs attributable to healthcare use in diabetes: results from the population-based KORA survey in Germany

AIMS

Patient time costs have been described to be substantial; however, data are highly limited. We estimated patient time costs attributable to outpatient and inpatient care in study participants with diagnosed diabetes, previously undetected diabetes, impaired glucose regulation and normal glucose tolerance.

METHODS

Using data of the population-based KORA S4 study (55-74 years, random sample of n = 350), we identified participants' stage of glucose tolerance by oral glucose tolerance test. To estimate mean patient time costs per year (crude and standardized with respect to age and sex), we used data regarding time spent with ambulatory visits including travel and waiting time and with hospital stays (time valued at a 2011 net wage rate of €20.63/h). The observation period was 24 weeks and data were extrapolated to 1 year.

RESULTS

Eighty-nine to 97% of participants in the four groups (diagnosed diabetes, undetected diabetes, impaired glucose regulation and normal glucose tolerance.) had at least one physician contact and 4-14% at least one hospital admission during the observation period. Patient time [h/year (95% CI)] was 102.0 (33.7-254.8), 53.8 (15.0-236.7), 59.3 (25.1-146.8) and 28.6 (21.1-43.7), respectively. Age-sex standardized patient time costs per year (95% CI) were €2447.1 (804.5-6143.6), €880.4 (259.1-3606.7), €1151.6 (454.6-2957.6) and €589.2 (435.8-904.8).

CONCLUSIONS

Patient time costs were substantial--even higher than medication costs in the same study population. They are higher in participants with diagnosed diabetes, but also in those with undetected diabetes and impaired glucose regulation compared with those with normal glucose tolerance. Research is needed in larger populations to receive more precise and certain estimates that can be used in health economic evaluation.

Costs of paediatric diabetes care in Germany: current situation and comparison with the year 2000

AIMS

To estimate direct costs of paediatric Type 1 diabetes care and associated factors in Germany for the year 2007 and to compare results with the costs for the year 2000.

METHODS

Our study includes clinical data and charges for any diabetes-related health care service of 14,185 continually treated subjects with paediatric diabetes aged < 20 years [52.5% male, mean age (SD) 12.1 (4.2) years], derived from a nationwide prospective patient documentation system (DPV). Health-care utilization was valued in monetary terms by using inpatient and outpatient medical fees and retail prices (perspective of the statutory health insurance). Associations between average total diabetes-related costs or various single cost categories per patient and age, sex, migration background, diabetes duration, and metabolic control were analysed by multiple regression procedures and by a two-part model for hospitalization costs. Total direct costs in the whole paediatric diabetes population in Germany were estimated. Mean costs per patient as well as total costs in the German paediatric diabetes population in 2007 were compared to 2000 costs (inflated to the year 2007).

RESULTS

Mean direct diabetes-associated costs per subject were €3524 (inter-quartile range: 1831-4743). Main cost categories were hospitalization (32%), glucose self-monitoring (29%), insulin pump therapy (18%), and insulin (15%). Based on the present estimation, the total costs of paediatric diabetes care in Germany exceeded €110 million in 2007. Compared with estimates of the year 2000, average costs per patient had increased by 20% and total costs for German paediatric diabetes care by 47%.

CONCLUSIONS

Direct costs for paediatric Type 1 diabetes care increased between 2000 and 2007, probably partly because of new therapeutic strategies and an increase in diabetes prevalence.

[Methods of health economic evaluation for health services research]

On August 30, 2010, the German Network for Health Services Research [Deutsches Netzwerk Versorgungsforschung e. V. (DNVF e. V.)] approved the Memorandum III "Methods for Health Services Research", supported by the member societies mentioned as authors and published in this Journal [Gesundheitswesen 2010; 72: 739-748]. The present paper focuses on methodological issues of economic evaluation of health care technologies. It complements the Memorandum III "Methods for Health Services Research", part 2. First, general methodological principles of the economic evaluations of health care technologies are outlined. In order to adequately reflect costs and outcomes of health care interventions in the routine health care, data from different sources are required (e. g., comparative efficacy or effectiveness studies, registers, administrative data, etc.). Therefore, various data sources, which might be used for economic evaluations, are presented, and their strengths and limitations are stated. Finally, the need for methodological advancement with regard to data collection and analysis and issues pertaining to communication and dissemination of results of health economic evaluations are discussed.