Which Back Pain Patients Benefit From Multidisciplinary Pain Management? A Comparative Cost Analysis Using Claims Data of Statutory Health Insurance.

Aim: Multidisciplinary pain therapy (MPT) is considered as best practice for treating patients with chronical back pain. Several studies showed the cost effectiveness of interdisciplinary treatment. The aim of the present study is to identify patient characteristics that, under condition of MMT, can be associated with favourable cost trajectories after intervention. We assume that an improved health status leads to less health care utilisation. Furthermore, we aim at identifying those patients with back pain without MPT for whom we can expect favourable cost trajectories. Methods: On the basis of pseudonymised claims data of a nationwide health insurance, we identified MMT back pain patients as well as a control group of back pain patients without MMT. Using comparative cost analysis (costs insensitive to indication), we determined those MMT patients for whom the cumulated total costs per patient for the two postinterventional years were lower than the mean cumulated total costs of the control group. By means of a CART analysis, we identified statistically significant characteristics (profiles) associated with these favourable cost trajectories. Additionally, we quantified control group patients with the same profiles. Results: The study population comprised 1 252 patients with specific back pain and 767 patients with pain due to spinal disc conditions who received MPT. Compared to the control group, total post-therapy costs (insensitive to indication) of MPT patients were higher. For roughly half of MPT patients per pain type, we could identify favourable cost trajectories as per definition. These patients mainly displayed lower levels of pain intensity, no pain-related hospitalisation, and less (mental) co-morbidity in the year preceding the intervention. These profiles concerned to 58-65% of back pain patients without MPT. Conclusion: The developed methodology enables identification of back pain patients likely to benefit from MPT. The study points out the need for patient individual pain management and underlines the importance of early-stage integration of patients into multidisciplinary pain management programmes.

STARR with CONTOUR® TRANSTAR™ device for obstructed defecation syndrome: one-year real-world outcomes of the European TRANSTAR registry.

PURPOSE: Stapled transanal rectal resection (STARR) in patients with obstructive defecation syndrome (ODS) is limited by the capacity of the circular stapler used. This prospective cohort study was conducted to assess real-world clinical outcomes of STARR with the new CONTOUR® TRANSTAR™ device, shortly named TRANSTAR, at 12 months postoperatively. METHODS: From January 2009 to January 2011, consecutive patients who underwent TRANSTAR in 22 European colorectal centers were enrolled in the study. Functional outcomes and quality of life were assessed by the changes in a number of scoring systems (Knowles-Eccersley-Scott-Symptom (KESS) score, ODS score, St. Mark's score, Euro Quality of Life-5 Dimension (EQ-5D) score, and Patient Assessment of Constipation-Quality of Life (PAC-QoL) score), at 12 months as compared to baseline. All complications were recorded and analyzed. RESULTS: A total of 100 patients (98% female), mean age 60 years, were entered in the study. Statistically significant improvements were seen in the KESS (median 18 vs. 6; p < 0.01), ODS (median 15 vs. 4; p < 0.01), and PAC-Qol scores (median 2.10 vs. 0.86; p < 0.01). St. Mark's and EQ-5D scores improved nonsignificantly. Complications were reported in 11 % of patients, including bleeding (5%), staple line complications (3%), urinary retention (2%), and persistent pain (1%). No major complications or mortality occurred. CONCLUSION: TRANSTAR facilitated a tailored, real circumferential full-thickness rectal resection, leading to improved patient functional and quality of life outcomes at 12 months postoperatively. It represents a safe and effective treatment for ODS in local clinical practice, although the sustainability of real-world results needs to be proven in the long-term follow-up.

Healthcare utilization of back pain patients: results of a claims data analysis.

OBJECTIVES: The high life-time prevalence of chronic back pain (25-30% according to surveys in small samples) suggests that it may be a major source of healthcare cost and that prevention of chronic back pain may be both ethically and economically recommendable. To obtain valid economic data on the cost of back pain in Germany, a retrospective claims data analysis was performed. METHODS: Using data from 2006 of 5.2 million beneficiaries of a German statutory health insurance fund (DAK Unternehmen Leben) covering ~7% of the German population, mean value analyses report on key healthcare utilization figures from a sickness funds? perspective. In contrast to other studies, cost data are primary data and not extrapolated, but clinical characteristics include surrogate markers as no clinical case descriptions were available. RESULTS: Based on previously investigated diagnosis patterns three types of back pain could be identified: (other) specific back pain (n=211,216), pain due to spinal disk disease (n=195,712), and non-specific back pain (n=534,272). Of all back pain patients, 25.8% were identified as at risk to develop chronic pain, where only 2.6% were detected as patients with chronic back pain. Mean resource utilization and related healthcare costs were significantly higher for beneficiaries with indicators for chronic back pain than for beneficiaries with only risk factors for developing chronic back pain. This especially holds for outpatient analgesic prescriptions (p<0.05), for in-hospital multimodal pain therapy (p<0.05), for in-hospital care in general (p<0.05), as well as for direct cost of care (p<0.05). CONCLUSION: The results show the potential that could be made accessible by an early detection of back pain patients who bear a risk of pain becoming chronic, both in terms of quality-of-life as well as in financial terms.

[Opioid therapy in patients with back pain. Claims data analysis for patient group characterization, influence on opioid therapy and work disability]. / Opioidtherapie bei Versicherten mit Rückenschmerzen. Sekundärdatenanalyse zur Charakterisierung von Patientengruppen, Einfluss auf Opioidtherapie und Arbeitsunfähigkeit.

This study features an analysis of the analgesic therapy of patients with back pain focusing on opioid administration. Using claims data of a German statutory health insurance fund the analysis focuses on prescription patterns, the association between opioids and antiemetics as well as between opioid therapy and work disability. Based on typical diagnosis patterns three types of back pain could be identified: (other) specific back pain (46.0%), pain due to spinal disc diseases (23.5%) and non-specific back pain. The proportion of patients receiving continuous opioid therapy ranged between 24.3% and 48.8%. The prescription of antiemetics was associated with a higher chance of continuous opioid therapy (odds ratio [OR] 1.93; 95% confidence interval [CI] 1.79-2.08). The chance of continuous opioid therapy was higher in pain patients with spinal disc diseases and patients with (other) specific back pain (OR 1.62 and 1.76, respectively; 95% CI 1.56-1.69 and 1.69-1.83, respectively). Continuous opioid therapy appears to increase the probability of a lower number of days off work due to disability (incidence rate ratio [IRR] 0.76; 95% CI 0.70-0.84). Adequate prospective studies should test if the associations found can be confirmed.

Excess health care costs of obesity in adults with diabetes mellitus: a claims data analysis.

BACKGROUND: Body weight management is a key factor in diabetes mellitus. However, both behavioral and pharmacological innovations to manage obesity may imply additional costs. In order to provide further insights into the role of obesity in diabetes-associated resource consumption, this study aims to estimate incremental costs of concomitant obesity in German adult patients (≥ 18 years) with different types of diabetes. METHODS: Adopting a third-party payer perspective, claims data from a German statutory sickness fund (N=1,094,496) were analyzed for costs of annual drug prescriptions and out- and inpatient care in adult beneficiaries with diabetes in 2004. Using diagnostic information, 37,570 beneficiaries with diabetes were identified. Concomitant obesity was assessed by ICD-10-codes (E66) in the claims data. Adjusting for sex, age, and micro- and macro-vascular complications, one generalized gamma regression model with the log link was performed for type 2 diabetes patients (N=24,562), type 1 diabetes patients (N=5,663), and an unclassified group (N=7,345), respectively. RESULTS: Overall, 33% of the patients with diabetes were identified as obese (type 2 diabetes: 34%, type 1 diabetes: 20%, unclassified: 38%). Affirming descriptive analyses, the generalized gamma regression models revealed that obesity is associated with significant increments in health care costs regardless of type of diabetes (type 2 diabetes: € 454, type 1 diabetes: € 812, unclassified: € 532). The interaction of obesity and macro-vascular complications was numerically stronger in type 1 than in type 2 diabetes but reached statistical significance only in type 2 diabetes (and the unclassified group). Moreover, concurrent macro- and micro-vascular complications were associated with higher incremental costs in all groups. CONCLUSIONS: Concomitant obesity is independently associated with incremental health care costs in adult patients with type 2 diabetes and, even more so, type 1 diabetes. Results are discussed with respect to the fact that in this sample, concurrent micro- and macro-vascular complications were more frequent in type 1 diabetes. At any rate, in light of these health care costs, obesity seems relevant in both types of diabetes. Due to claims data limitations, it was not possible to distinguish obesity classes based on body height and weight information. Further research should identify adiposity thresholds for increased resource consumption using both primary and secondary data.

[Pain-specific diagnosis patterns in claims data - Identification by means of classification and regression trees (CART)]. / Schmerztypische Diagnosemuster in Routinedaten - Identifikation mittels Classification and Regression Trees (CART).

The identification of beneficiaries with persistent, recurrent or chronic pain in claims data by means of individual diagnoses or analgesic prescription is not sufficient and reliable. By using CLASSIFICATION AND REGRESSION TREES (CART) it was possible to identify specific diagnosis patterns for patients suffering from pain. Diagnosis patterns are considered as specific if they occur more frequently among beneficiaries with at least two opioid prescriptions within one year compared with beneficiaries who did not receive any analgesic therapy. Diagnosis and prescription data of 2006 were provided by the German sickness fund DAK. As a result, 65 diagnosis patterns occurred more frequently among beneficiaries treated with opioids than among the control group. These 65 patterns can be classified as follows: cancer-related pain (4), specific back pain/osteoporosis (8), spine-related pain (6), arthritis-related pain/rheumatoid arthritis (22), pain after traumatic fractures (5), pain in multimorbid, dependent patients (3), neuropathic pain (7), headache (5), non-specific back pain (5). The derived diagnosis patterns showed high predictive values (sensitivity: 78%, specificity: 66%) and are suitable for the identification of beneficiaries suffering from pain - the first step towards health services research in pain-based on claims data.

[Identification and grouping of pain patients according to claims data]. / Identifikation und Gruppierung von Schmerzpatienten anhand von Routinedaten einer Krankenkasse.

The ICD classification does not provide the opportunity to adequately identify pain patients. Therefore we developed an alternative method for the identification and classification of pain patients which is based on prescription and diagnoses data from the year 2006 of one nationwide sickness fund (DAK) and which is led by two main assumptions: 1. Beneficiaries without prescription of an analgetic drug but with a diagnosis pattern that is characteristic of patients who are treated with opioids are also likely to be pain patients. 2. Each combination of diagnosis groups can be traced back to one primary diagnosis out of a diagnosis group according to the patient classification system CCS (Clinical Classifications Software). The selection of this diagnosis group (CCS) allows for the allocation of the beneficiary to only one pain type. As a result we identified 65 combinations of CCS diagnosis groups--aggregated to nine "CCS pain types"--to which 77.1% of all patients with at least two opioid prescriptions can be allocated: 26.3% to pain due to arthrosis, 18.0% to pain due to intervertebral disc illnesses, 13.1% to other specific back pain, 6.7% to neuropathic pain, 4.5% to unspecific back pain, 4.2% to headache, 2.4% to pain after traumatic fractures, 1.3% to pain of multimorbid, high-maintenance patients, and 0.6% to cancer pain. Based on our method beneficiaries who have a high probability of suffering from moderate to strong pain can be identified and included in further claims data analyses of health care delivery and utilization pattern of pain-related disorders in Germany.

[A validated questionnaire for measuring patient satisfaction in general and specialist ambulatory medical care: the Qualiskope-A]. / Ein valides Instrument zur Messung der Patientenzufriedenheit in ambulanter haus- und fachärztlicher Behandlung: das Qualiskope-A.

PURPOSE: To develop a reliable and valid questionnaire to measure patient satisfaction in ambulatory care, enabling a detailed analysis of the determinants of patient satisfaction that is applicable in GP and specialist outpatient care. DESIGN: Questionnaire with 27 single items subdivided into four categories: "professional competence", "physician-patient interaction", "information", and "practice organisation". Survey of 3,487 patients in 123 medical practices. 1,151 patients were in specialist care and 2,336 patients in general medical care. RESULTS: Qualiskope-A is a reliable and valid instrument for measuring patient satisfaction in ambulatory care. All item-total correlations for single items were greater than r = 0.40. Coefficients for Cronbach's alpha for the four dimensions ranged between 0.87 and 0.94. CONCLUSIONS: The increasing political importance of patients' attitudes and satisfaction for the development of policy measures to ensure and improve the quality of care is beyond doubt. To make sure that the measurement of patient satisfaction does not only serve to meet regulatory requirements but helps to improve the quality of care and provides reliable data for health services research, a high standard is required for the questionnaires to be used. The Qualiskope-A and only few other instruments meet this high standard.

[Job strain as a risk factor for occupational accidents among hospital nursing staff]. / Psychischer Stress als Risikofaktor für Arbeitsunfälle bei Pflegekräften im Krankenhaus.

In a cross-sectional questionnaire study the influence of psychological job strain and nine other factors on the occurrence of accidents at work were examined. Data were collected by a national survey of nursing personnel in Germany. The sample of this study consists of 874 nurses working in acute care hospitals. Job strain was operationalised according to Karasek's demand-control model and measured by a self-developed questionnaire. 32 % had experienced at least one accident during the 12 months preceding the survey (mostly accidental cuts or needle punctures). No association with accident risk was found for age, sex, professional status (supervising function) and hours of overtime work. The six factors significantly associated with accident risk in univariate analyses were entered into a logistic regression model: high job strain, working in a functional unit (e. g. laboratory), full-time work, less than 3 years of occupation in the present department, having children of less than 3 years of age and being a single parent. In the multivariate analyses high job strain turned out to be the most important risk factor for occupational accidents (odds ratio: 2.4, 95 % C.I.: 1.7-3.3). Significantly elevated risks were found for full-time work, less than 3 years of occupation in the present department and being a single parent (odds ratios between 1.5 and 1.8). Having at least one child of less than 3 years of age was a protective factor (odds ratio 0.5, 95-% C.I.: 0.4-0.8).