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Biomedical subjects

Stephen Palmer

Publications and source records attributed to Stephen Palmer.

23 records · Page 2Linked to original sources

Identification of genes with differential regulation in primate endometrium during the proliferative and secretory phases of the cycle.

To study gene expression in the endometrium at different stages of the menstrual cycle, differential mRNA display and reverse Northern analysis were performed on uterine tissues from cynomolgus monkeys. Eutopic endometrial RNA was prepared from uteri of animals that were either ovariectomized and supplemented with hormones, or were not ovariectomized but were subjected to surgically induced endometriosis. A number of genes were identified whose levels fluctuated between the proliferative and secretory phases of the cycle. Expression of four genes thus identified was further examined by in situ hybridization to normal human endometrial biopsies. Iodothyronine deiodinase was uniformly expressed at all stages of the human cycle that were studied: proliferative, secretory, and menstrual. Fibulin 1, osteopontin, and cathepsin H exhibited complex temporal and spatial regulation. Fibulin 1 was expressed in glandular epithelia during the menstrual phase, but expression switched to the stroma during the secretory phase. During the menstrual phase, osteopontin was expressed at high levels in glandular epithelia and in isolated stromal cells that may be of immune origin. Secretory phase expression of osteopontin was confined to a sub-population of epithelial cells. Cathepsin H was expressed in proliferative and menstrual phase endometrium, but expression disappeared in the secretory phase. Messenger RNA for fibulin 1, osteopontin, and iodothyronine deiodinase was detected in an endometriosis sample. Our data support functional roles for fibulin 1, osteopontin, cathepsin H and thyroid hormone in endometrium.

Animals↗

Systematic review of the use and value of computer simulation modelling in population health and health care delivery.

BACKGROUND: The objective of the review was to evaluate the extent, quality and value of computer simulation modelling in population health and health care delivery. METHODS: A narrative systematic review was carried out of world literature from 1980 to 1999, searching Medline, INSPEC, Embase, HealthSTAR, Science Citation Index, CINAHL, MathSci, INFORMS Online and SIGLE databases, and researchers in the field were contacted. Papers were included if they contained a computer simulation model of individuals in a stochastic system and the topic or setting related to population health or health service delivery. RESULTS: A total of 182 papers met the inclusion criteria. Simulation modelling has been undertaken in a wide range of health care topic areas, including hospital scheduling and organization, communicable disease, screening, costs of illness and economic evaluation. However, the quality of published papers was variable and few reported on the outcomes of implementation of models, so that the value of modelling could not be assessed. CONCLUSION: Simulation modelling is a powerful method for modelling both small and large populations to inform policy makers in the provision of health care. It has been applied to a wide variety of health care problems. Although the number of modelling papers has grown substantially over recent years, further research is required to assess the value of modelling.

Communicable Disease Control↗

Use of cognitive therapy for relapse prevention in chronic depression. Cost-effectiveness study.

BACKGROUND: There is a lack of data on the cost-effectiveness of relapse prevention in depression. METHOD: A total of 158 subjects with partially remitted major depression despite adequate clinical treatment were randomly allocated to cognitive therapy in addition to antidepressants and clinical management v. antidepressants and clinical management alone. Relapse rates and health care resource utilisation were measured prospectively over 17 months. RESULTS: Cumulative relapse rates in the cognitive therapy group were significantly lower than in the control group (29% v. 47%). The incremental cost incurred in subjects receiving cognitive therapy over 17 months (pound sterling 779; 95% CI pound sterling 387- pound sterling 1170) was significantly lower than the overall mean costs of cognitive therapy (pound sterling 1164; 95% CI pound sterling 1084- pound sterling 1244). The incremental cost-effectiveness ratio ranged from pound sterling 4328 to pound sterling 5027 per additional relapse prevented. CONCLUSIONS: In individuals with depressive symptoms that are resistant to standard treatment, adjunctive cognitive therapy is more costly but more effective than intensive clinical treatment alone.

Adult↗

Information for clinical governance: analysis of routine hospital activity data in Wales.

BACKGROUND: Variations in hospital admission rates have been extensively reported for many years, but this evidence has not had a wide impact on clinical practice. Understanding local reasons for high variation to improve quality of healthcare should be a focus of clinical governance. Our aim was to convert routine hospital activity data into information on a category of high-variation, discretionary, hospital admissions and provide a tool for analysis for clinical governors in Local Health Groups (LHG). METHODS: We undertook a cross-sectional analysis of hospital activity data for the 22 LHGs in Wales and 101 general practices in Gwent Health Authority. Hospital spells for 1998-1999 and 1999-2000 were classified into Healthcare Resource Groups (HRGs). Using the systematic component of variation we identified a category of high-variation admissions for which the only plausible explanation was medical discretion. Using scatter plots we compared the proportion of these discretionary admissions with the age-, sex- and deprivation-adjusted standardized admission ratio. (SAR) for each LHG and practice. RESULTS: We found a two-fold variation in SARs between LHGs and a three-fold variation between practices. Mean discretionary activity was 55 per cent (range 50-59 per cent) of total activity for LHGs and 56 per cent (51-62 per cent) for practices. Greatest variation was found for elective admissions. The relation between discretionary admissions and the SAR was identified for each LHG and practice as the starting point for further investigation. CONCLUSION: This method provides useful information to LHG clinical governors to contribute to the process of reducing medical practice variation, increasing equity, improving the quality of care and making more cost-effective use of resources.

Cross-Sectional Studies↗

Incorporating direct and indirect evidence using bayesian methods: an applied case study in ovarian cancer.

OBJECTIVE: To demonstrate the application of a Bayesian mixed treatment comparison (MTC) model to synthesize data from clinical trials to inform decisions based on all relevant evidence. METHODS: The value of an MTC model is demonstrated using a probabilistic decision-analytic model developed to assess the cost-effectiveness of second-line chemotherapy in ovarian cancer. Three clinical trials were found that each made a different pair-wise comparison of three treatments of interest in the overall patient population. As no common comparator existed between the three trials, an MTC model was used to assess the combined weight of evidence on survival from all three trials simultaneously. This analysis was compared to an alternative approach that combined two of the trials to make the same comparison of all three treatments using a common comparator, and an informal approach that did not synthesize the available evidence. RESULTS: By including all three trials using an MTC model, the credible intervals around estimated overall survival were reduced compared with making the same comparison using only two trials and a common comparator. Nevertheless, the survival estimates from the MTC model result in greater uncertainty around the optimal treatment strategy at a cost-effectiveness threshold of 30,000 pounds per quality-adjusted life-year. CONCLUSIONS: MTC models can be used to combine more data than would typically be included in a traditional meta-analysis that relies on a common comparator. They can formally quantify the combined uncertainty from all available evidence, and can be conducted using the same analytical approaches as standard meta-analyses.

Antineoplastic Agents↗