TMD pain: the effect on health related quality of life and the influence of pain duration

Objectives: As impact of literature concerning this subject is scarce, the objectives of this study were to assess whether the Health Related Quality of Life (HRQoL) is decreased in patients with painful temporomandibular disorders as compared to the HRQoL in the general population, and to evaluate to what extent pain duration affects HRQoL. Methods: Data concerning physical and mental health were retrieved from patients with painful temporomandibular disorders. Assessment tools used were: the Mandibular Function Impairment Questionnaire (MFIQ), the Short-Form-36 (SF-36), the Hospital Anxiety and Depression Schedule (HADS), and the General Health Questionnaire (GHQ). In order to examine the influence of the duration of pain on HRQoL, the total sample was divided into three different subgroups. Subgroup 1 consisted of patients with complaints existing less than one year. Patients with complaints from 1 to 3 years were allocated to the second group. The 3rd subgroup included patients with complaints longer than 3 years. Results: The total sample consisted of 95 patients (90 females and 5 males). On most physical and social functioning items, groups 2 and 3 scored significantly worse than the general population. On the other hand, none of the groups differed from the general population when comparing the mental items. Duration of pain was significantly correlated with SF-36 subscale physical functioning and the mandibular impairment. Conclusion: Patients with TMD pain less than one year score better than compared to the population norm. With a longer duration of pain, mental health scores and role limitations due to emotional problems do not appear to be seriously affected by reduced physical health, while social functioning appears to be considerably affected

Incomplete quality of life data in lung transplant research: comparing cross sectional, repeated measures ANOVA, and multi-level analysis

BACKGROUND: In longitudinal studies on Health Related Quality of Life (HRQL) it frequently occurs that patients have one or more missing forms, which may cause bias, and reduce the sample size. Aims of the present study were to address the problem of missing data in the field of lung transplantation (LgTX) and HRQL, to compare results obtained with different methods of analysis, and to show the value of each type of statistical method used to summarize data. METHODS: Results from cross-sectional analysis, repeated measures on complete cases (ANOVA), and a multi-level analysis were compared. The scores on the dimension 'energy' of the Nottingham Health Profile (NHP) after transplantation were used to illustrate the differences between methods. RESULTS: Compared to repeated measures ANOVA, the cross-sectional and multi-level analysis included more patients, and allowed for a longer period of follow-up. In contrast to the cross sectional analyses, in the complete case analysis, and the multi-level analysis, the correlation between different time points was taken into account. Patterns over time of the three methods were comparable. In general, results from repeated measures ANOVA showed the most favorable energy scores, and results from the multi-level analysis the least favorable. Due to the separate subgroups per time point in the cross-sectional analysis, and the relatively small number of patients in the repeated measures ANOVA, inclusion of predictors was only possible in the multi-level analysis. CONCLUSION: Results obtained with the various methods of analysis differed, indicating some reduction of bias took place. Multi-level analysis is a useful approach to study changes over time in a data set where missing data, to reduce bias, make efficient use of available data, and to include predictors, in studies concerning the effects of LgTX on HRQL

Cost-effectiveness of lung transplantation in The Netherlands: a scenario analysis

STUDY OBJECTIVES: To calculate cost-effectiveness of scenarios concerning lung transplantation in The Netherlands. DESIGN: Microsimulation model predicting survival, quality of life, and costs with and without transplantation program, based on data of the Dutch lung transplantation program of 1990 to 1995. SETTING: Netherlands, University Hospital Groningen. PATIENTS: Included were 425 patients referred for lung transplantation, of whom 57 underwent transplantation. INTERVENTION: Lung transplantation. RESULTS: For the baseline scenario, the costs per life-year gained are G 194,000 (G=Netherlands guilders) and the costs per quality-adjusted life-year (QALY) gained are G 167,000. Restricting patient inflow ("policy scenario") lowers the costs per life-year gained: G 172,000 (costs per QALY gained: G 144,000). The supply of more donor lungs could reduce the costs per life-year gained to G 159,000 (G 135,000 per QALY gained; G1 =US $0.6, based on exchange rate at the time of the study). CONCLUSIONS: Lung transplantation is an expensive but effective intervention: survival and quality of life improve substantially after transplantation. The costs per life-year gained are relatively high, compared with other interventions and other types of transplantation. Restricting the patient inflow and/or raising donor supply improves cost-effectiveness to some degree. Limiting the extent of inpatient screening or lower future costs of immunosuppressives may slightly improve the cost-effectiveness of the program