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      Waiting times for elective treatments according to insurance status: A randomized empirical study in Germany

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          Abstract

          Background

          Health insurance coverage for all citizens is often considered a requisite for reducing disparities in health care accessibility. In Germany, health insurees are covered either by statutory health insurance (SHI) or private health insurance (PHI). Due to a 20%–35% higher reimbursement of physicians for patients with PHI, it is often claimed that patients with SHI are faced with longer waiting times when it comes to obtaining outpatient appointments. There is little empirical evidence regarding outpatient waiting times for patients with different health insurance status in Germany.

          Methods

          We called 189 specialist practices in the region of Cologne, Leverkusen, and Bonn. Practices were selected from publicly available telephone directories (Yellow Pages 2006/2007) for the specified region. Data were collected for all practices within each of five specialist fields. We requested an appointment for one of five different elective treatments (allergy test plus pulmonary function test, pupil dilation, gastroscopy, hearing test, MRT of the knee) by calling selected practices. The caller was randomly assigned the status of private or statutory health insuree. The total period of data collection amounted to 4.5 weeks in April and May 2006.

          Results

          Between 41.7% and 100% of the practices called were included according to specialist field. We excluded practices that did not offer the requested treatment, were closed for more than one week, did not answer the call, did not offer fixed appointments ("open consultation hour") or did not accept any newly registered patients. Waiting time difference between private and statutory policyholders was 17.6 working days (SHI 26.0; PHI 8.4) for allergy test plus pulmonary function test; 17.0 (25.2; 8.2) for pupil dilation; 24.8 (36.7; 11.9) for gastroscopy; 4.6 (6.8; 2.2) for hearing test and 9.5 (14.1; 4.6) for the MRT of the knee. In relative terms, the difference in working days amounted to 3.08 (95%-KI: 1,88 bis 5,04) and proved significant.

          Conclusion

          Even with comprehensive health insurance coverage for almost 100% of the population, Germany shows clear differences in access to care, with SHI patients waiting 3.08 times longer for an appointment than PHI patients. Wide-spread anecdotal reports of shorter waiting times for PHI patients were empirically supported. Discrepancies in access to care not only depend on accessibility to comprehensive health insurance cover, but also on the level of reimbursement for the physician. Higher reimbursements for the provider when it comes to comparable health problems and diagnostic treatments could lead to improved access to care. We conclude that incentives for adjusting access to care according to the necessity of treatment should be implemented.

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          Most cited references21

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          Generalized additive models: an introduction with

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            The role of health insurance coverage in reducing racial/ethnic disparities in health care.

            Research showing racial/ethnic disparities in medical care obtained by people with comparable insurance has raised questions about the extent to which health insurance improves opportunities for care. To assess whether insurance expansions could be expected to reduce racial/ethnic disparities in access to care, this paper reviews evidence from studies specifically designed to quantify the contribution of health insurance to racial/ethnic disparities in access. The studies provide evidence that a sizable share of the differences in whether a person has a regular source of care could be reduced if Hispanics and African Americans were insured at levels comparable to those of whites.
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              Delayed access to health care and mortality.

              To measure the relationship between time spent waiting for health care services and patients' mortality. Data on the number of days until the next available appointment at 89 Veterans Affairs (VA) medical centers in 2001 were extracted from a VA administrative database. These facility-level data were merged with individual-level data for a sample of veterans who visited a VA geriatric outpatient clinic in 2001. The merged dataset includes facility-level data on waiting times and individual-level data on demographics, health status (e.g., diagnoses), and mortality. This was a retrospective observational study using secondary data from administrative sources. The dependent variable was mortality within a 6-month follow-up period. The main explanatory variable of interest was VA facility-level wait times for outpatient visits measured in number of days. Random effects logistic regression models were risk adjusted for prior individual health status and facility-level differences in case mix. Veterans who visited a VA medical center with facility-level wait times of 31 days or more had significantly higher odds of mortality (odds ratio=1.21, p=0.027) compared with veterans who visited a VA medical center with facility-level wait times of <31 days. Our findings support the largely assumed association between long wait times for outpatient health care and negative health outcomes, such as mortality. Future research should focus on the causes of long waits for health care (e.g., physician reimbursement levels), the consequences of long waits in other populations, and effective policies to decrease long waits for health care services.
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                Author and article information

                Journal
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central
                1475-9276
                2008
                9 January 2008
                : 7
                : 1
                Affiliations
                [1 ]Institute of Health Economics and Clinical Epidemiology, University of Cologne, Gleueler Str. 176 – 178, D-50935 Cologne, Germany
                [2 ]Department of Public Health, Medical Decision Making, UMIT – University for Health Sciences, A-6060 Hall, Austria
                Article
                1475-9276-7-1
                10.1186/1475-9276-7-1
                2246139
                18184426
                8e1520eb-32f9-44d6-976e-93cae7c052ce
                Copyright © 2008 Lungen et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 August 2006
                : 9 January 2008
                Categories
                Research

                Health & Social care
                Health & Social care

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