LAT software induced savings on medical costs of alcohol addicts' care--results from a matched-pairs case-control study

A Comparative Study of the Cost and Uptake of Community Pharmacy "Stop Smoking and Emergency Contraception" Services from the Perspective of the National Health Service

Objective:

The objective was to explore if the community pharmacy (CP) stop smoking service (SSS) and emergency hormonal contraception patient group direction (EHC PGD) meet the needs of the English population and are cost-effective.

Methods:

This research was completed over 2 years. Public health resources provided details of CPs and provision of SSS and EHC PGD. Questionnaires were sent to smoking cessation/sexual health leads in local authorities to obtain information not available elsewhere. Questionnaires inquired about CP payment for provision of SSS and EHC PGD, overhead costs, successful outcomes, and validation methods. Quit rates at 4-weeks, 52-weeks, and lifetime determined SSS effectiveness. The effectiveness of EHC PGD was based on the probability of unintended pregnancy with/without levonorgestrel. Incremental cost-effectiveness ratio and cost of quality-adjusted life years (QALYs) gained were calculated. Descriptive statistics were determined. A priori of less than 0.05 (P < 0.05) was significant.

Findings:

SSS provision and uptake did not match local needs (smoking prevalence) even though increased CP SSS provision correlated with increased SSS success. Similarly, the need (based on teenage pregnancy rates) for EHC PGD did not correlate with the rate of CP provision but only with the uptake. Nevertheless, the provision of SSS and EHC PGD from CPs was cost-effective from an NHS perspective. Various assumptions were tested, but in all cases fell well below NICE QALY recommendations for cost-effectiveness.

Conclusion:

Provision of SSS and EHC PGD from CP does not meet the needs of the population even though the delivery of these services is cost-effective.

Patient-Controlled Intravenous Morphine Analgesia Combined with Transcranial Direct Current Stimulation for Post-Thoracotomy Pain: A Cost-Effectiveness Study and A Feasibility For Its Future Implementation

This prospective randomized study aims to evaluate the feasibility and cost-effectiveness of combining transcranial direct current stimulation (tDCS) with patient controlled intravenous morphine analgesia (PCA-IV) as part of multimodal analgesia after thoracotomy. Patients assigned to the active treatment group (a-tDCS, n = 27) received tDCS over the left primary motor cortex for five days, whereas patients assigned to the control group (sham-tDCS, n = 28) received sham tDCS stimulations. All patients received postoperative PCA-IV morphine. For cost-effectiveness analysis we used data about total amount of PCA-IV morphine and maximum visual analog pain scale with cough (VASP-C_max). Direct costs of hospitalization were assumed as equal for both groups. Cost-effectiveness analysis was performed with the incremental cost-effectiveness ratio (ICER), expressed as the incremental cost (RSD or US$) per incremental gain in mm of VASP-C_max reduction. Calculated ICER was 510.87 RSD per VASP-C_max 1 mm reduction. Conversion on USA market (USA data 1.325 US$ for 1 mg of morphine) revealed ICER of 189.08 US$ or 18960.39 RSD/1 VASP-C_max 1 mm reduction. Cost-effectiveness expressed through ICER showed significant reduction of PCA-IV morphine costs in the tDCS group. Further investigation of tDCS benefits with regards to reduction of postoperative pain treatment costs should also include the long-term benefits of reduced morphine use.

Opioid use disorder in Germany: healthcare costs of patients in opioid maintenance treatment

Background

Opioid Use Disorder (OUD) is a substance use disorder with a chronic course associated with comorbid mental and somatic disorders, a high burden of psychosocial problems and opioid maintenance treatment (OMT) as a standard treatment. In the US, OUD imposes a significant economic burden on society, with annual societal costs estimated at over 55 billion dollars. Surprisingly, in Europe and especially in Germany, there is currently no detailed information on the healthcare costs of patients with OUD. The goal of the present research is to gather cost information about OUD patients in OMT with a focus on maintenance medication and relapses.

Methods

We analysed health claims data of four million persons covered by statutory health insurance in Germany, applying a cost-of-illness approach and aimed at examining the direct costs of OMT patients in Germany. Patients with an ICD-10 code F11.2 and at least one claim of an OMT medication were stratified into the treatment groups buprenorphine, methadone or levomethadone, based on the first prescription in each of the follow-up years. Costs were stratified for years with and without relapses. Group comparisons were performed with ANOVA.

Results

We analysed 3165 patient years, the total annual sickness funds costs were on average 7470 € per year and patient. Comparing costs of levomethadone (8400 €, SD: 11,080 €), methadone (7090 €, SD: 10,900 €) and buprenorphine (6670 €, SD: 7430 €) revealed significant lower costs of buprenorphine compared to levomethadone (p < 0.0001). In years with relapses, costs were higher than in years without relapses (8178 € vs 7409 €; SD: 11,622, resp. 10,378 €). In years with relapses, hospital costs were the major cost driver.

Conclusions

The present study shows the costs of OUD patients in OMT for the first time with a German dataset. Healthcare costs for patients with an OUD in OMT are associated with more than two times the cost of an average German patients. Preventing relapses might have significant impact on costs. Patients in different OMT were dissimilar which may have affected the cost differences.

Within the triangle of healthcare legacies: comparing the performance of South-Eastern European health systems

OBJECTIVE

Inter-regional comparison of health-reform outcomes in south-eastern Europe (SEE).

METHODS

Macro-indicators were obtained from the WHO Health for All Database. Inter-regional comparison among post-Semashko, former Yugoslavia, and prior-1989-free-market SEE economies was conducted.

RESULTS

United Nations Development Program Human Development Index growth was strongest among prior-free-market SEE, followed by former Yugoslavia and post-Semashko. Policy cuts to hospital beds and nursing-staff capacities were highest in post-Semashko. Physician density increased the most in prior-free-market SEE. Length of hospital stay was reduced in most countries; frequency of outpatient visits and inpatient discharges doubled in prior-free-market SEE. Fertility rates fell for one third in Post-Semashko and prior-free-market SEE. Crude death rates slightly decreased in prior-free-market-SEE and post-Semashko, while growing in the former Yugoslavia region. Life expectancy increased by 4 years on average in all regions; prior-free-market SEE achieving the highest longevity. Childhood and maternal mortality rates decreased throughout SEE, while post-Semashko countries recorded the most progress.

CONCLUSIONS

Significant differences in healthcare resources and outcomes were observed among three historical health-policy legacies in south-eastern Europe. These different routes towards common goals created a golden opportunity for these economies to learn from each other.

Disability, Work Absenteeism, Sickness Benefits, and Cancer in Selected European OECD Countries-Forecasts to 2020

Background

Disability either due to illness, aging, or both causes remains an essential contributor shaping European labor markets. Ability of modern day welfare states to compensate an impaired work ability and absenteeism arising from incapacity is very diverse. The aims of this study were to establish and explain intercountry differences among selected European OECD countries and to provide forecasts of future work absenteeism and expenditures on wage replacement benefits.

Methods

Two major public registries, European health for all database and Organization for Economic Co-operation and Development database (OECD Health Data), were coupled to form a joint database on 12 core indicators. These were related to disability, work absenteeism, and sickness benefits in European OECD countries. Time horizon 1989–2013 was observed. Forecasting analysis was done on mean values of all data for each single variable for all observed countries in a single year. Trends were predicted on a selected time horizon based on the mean value, in our case, 7 years up to 2020. For this purpose, ARIMA prediction model was applied, and its significance was assessed using Ljung–Box Q test.

Results

Our forecasts based on ARIMA modeling of available data indicate that up to 2020, most European countries will experience downfall of absenteeism from work due to illness. The number of citizens receiving social/disability benefits and the number being compensated due to health-related absence from work will decline. As opposed to these trends, cancer morbidity may become the top ranked disability driver as hospital discharge diagnoses. Concerning development is the anticipated bold growth of hospital discharge frequencies due to cancer across the region. This effectively means that part of these savings on social support expenditure shall effectively be spent to combat strong cancer morbidity as the major driver of disability.

Conclusion

We have clearly growing work load for the national health systems attributable to the clinical oncology acting as the major disability contributor. This effectively means that large share of these savings on public expenditure shall effectively be spent to combat strong cancer morbidity. On another side, we have all signs of falling societal responsibility toward the citizens suffering from diverse kinds of incapacity or impaired working ability and independence. Citizens suffering from any of these causes are likely to experience progressively less social support and publicly funded care and work support compared to the golden welfare era of previous decades.

Review of Diagnosis-Related Group-Based Financing of Hospital Care

Since the 1990s, diagnosis-related group (DRG)-based payment systems were gradually introduced in many countries. The main design characteristics of a DRG-based payment system are an exhaustive patient case classification system (ie, the system of diagnosis-related groupings) and the payment formula, which is based on the base rate multiplied by a relative cost weight specific for each DRG. Cases within the same DRG code group are expected to undergo similar clinical evolution. Consecutively, they should incur the costs of diagnostics and treatment within a predefined scale. Such predictability was proven in a number of cost-of-illness studies conducted on major prosperity diseases alongside clinical trials on efficiency. This was the case with risky pregnancies, chronic obstructive pulmonary disease, diabetes, depression, alcohol addiction, hepatitis, and cancer. This article presents experience of introduced DRG-based payments in countries of western and eastern Europe, Scandinavia, United States, Canada, and Australia. This article presents the results of few selected reviews and systematic reviews of the following evidence: published reports on health system reforms by World Health Organization, World Bank, Organization for Economic Co-operation and Development, Canadian Institute for Health Information, Canadian Health Services Research Foundation, and Centre for Health Economics University of York. Diverse payment systems have different strengths and weaknesses in relation to the various objectives. The advantages of the DRG payment system are reflected in the increased efficiency and transparency and reduced average length of stay. The disadvantage of DRG is creating financial incentives toward earlier hospital discharges. Occasionally, such polices are not in full accordance with the clinical benefit priorities.

Community-acquired pneumonia: economics of inpatient medical care vis-à-vis clinical severity

Objective:

To assess the direct and indirect costs of diagnosing and treating community-acquired pneumonia (CAP), correlating those costs with CAP severity at diagnosis and identifying the major cost drivers.

Methods:

This was a prospective cost analysis study using bottom-up costing. Clinical severity and mortality risk were assessed with the pneumonia severity index (PSI) and the mental Confusion-Urea-Respiratory rate-Blood pressure-age ≥ 65 years (CURB-65) scale, respectively. The sample comprised 95 inpatients hospitalized for newly diagnosed CAP. The analysis was run from a societal perspective with a time horizon of one year.

Results:

Expressed as mean ± standard deviation, in Euros, the direct and indirect medical costs per CAP patient were 696 ± 531 and 410 ± 283, respectively, the total per-patient cost therefore being 1,106 ± 657. The combined budget impact of our patient cohort, in Euros, was 105,087 (66,109 and 38,979 in direct and indirect costs, respectively). The major cost drivers, in descending order, were the opportunity cost (lost productivity); diagnosis and treatment of comorbidities; and administration of medications, oxygen, and blood derivatives. The CURB-65 and PSI scores both correlated with the indirect costs of CAP treatment. The PSI score correlated positively with the overall frequency of use of health care services. Neither score showed any clear relationship with the direct costs of CAP treatment.

Conclusions:

Clinical severity at admission appears to be unrelated to the costs of CAP treatment. This is mostly attributable to unwarranted hospital admission (or unnecessarily long hospital stays) in cases of mild pneumonia, as well as to over-prescription of antibiotics. Authorities should strive to improve adherence to guidelines and promote cost-effective prescribing practices among physicians in southeastern Europe.