Outcomes Research: Issues of Evidence, Timing and Application

1995 ◽  
Vol 8 (4) ◽  
pp. 178-184
Author(s):  
Joseph D. Jackson

We have entered the era of value for money, and it will likely last into the next century. Increasingly, the use of pharmaceuticals will be a function of the value for money they bring to specific populations at risk. As an integral part of this era, the outcomes research movement is pursuing the quest for value; however, the movement is in its infancy. There is a great appetite for systematic outcomes research that would assess unmet clinical need, the novelty of the clinically meaningful outcomes, and the potential for monetary benefit. The basic premise of outcomes research is that choices between alternatives must be made to promote efficiency without compromising quality of care. Although choices must be made, the foundation for these decisions is properly good research evidence. The process of evidence generation is time-intensive, especially in diseases with long episodes of illness. Therefore, it will take time to produce clinically meaningful data on factors such as mortality and morbidity gains, health-related quality of life, productivity enhancements, patient and provider satisfaction and compliance, especially for new drugs. The needs are acute and the promise is great, but the movement is probably more evolutionary than revolutionary. Copyright © 1995 by W.B. Saunders Company

2000 ◽  
Vol 90 (8) ◽  
pp. 403-410 ◽  
Author(s):  
JS Wrobel

Outcomes research has become a high priority for the podiatric medical profession, according to the results of a recent survey of members of the American Podiatric Medical Association (APMA). The methods of population-based studies using claims data, health-related quality-of-life measures, decision and cost-effectiveness analysis, and quality improvement are discussed and their contributions to the podiatric medical profession highlighted. The integration of this methodology into the podiatric medical literature has been sparse. Future work needs to address the training of future researchers in these methods, the establishment of collaborative arrangements, and the development of uniform clinical and health-related quality-of-life measures.


2018 ◽  
Vol 5 (3) ◽  
pp. 498
Author(s):  
Vikas Dogra ◽  
Balakrishnan Menon ◽  
Vishal Bansal ◽  
Shailendra Nath Gaur

Background: COPD is ranked eighth among the top 20 conditions causing disability globally. Assessment in subjective areas such as dyspnea and HRQL provides complementary information to physiologic measurements. Lower Health-Related Quality of Life has been associated with mortality and morbidity in COPD.Methods: The study was conducted at the Department of Respiratory Medicine and at Vallabhbhai Patel Chest Institute and the associated, Vishwanathan Chest Hospital, University of Delhi. Between September 2012 to August 2013. We conducted present study on 40 male COPD subjects aged more than 45 years, divided into 4 groups based on CT phenotype as normal, Airway Dominant (AD), Emphysema Dominant (ED) and mixed types.  We compared the St. George Respiratory Questionnaire scores, 6 Minutes’ walk Distance scores, Clinical parameters, Spirometry indices across these phenotypes.   Results: The mean SGRQ score in present study was 54.07 ± 17.24 (Range :17.3 to 84.57). The Mean 6MWD in present study was 434.58 ± 125.47 metres. The significant parameters which had correlation with SGRQ total score were Age (r=0.343, p = 0.03), 6MWD (-0.397, p = 0.011), FEV1 /FVC (0.499, p< 0.001), DLCO (-0.601, p <0.001), Low attenuation areas in CT (0.606, p< 0.001). Conclusions: 6MWD, FEV1/FVC, age, Low attenuation areas in CT, DLCO had an influence on the quality of life as measured by SGRQ scores in present study. Therapeutic approaches to improve the quality of life in COPD should take these indices into consideration.


2021 ◽  
Author(s):  
Bikila Regassa Feyisa

The health of general population cannot be well characterized from the analyses of mortality and morbidity statistics alone, particularly for patients of chronic diseases including diabetes mellitus. It is equally important to contemplate health in terms of people’s assessment of their sense of well-being and ability to perform social roles. A number of reasons are there to measure the health-related quality of life among patients with diabetes mellitus. For one thing, diabetes patients are highly interested in functional capacity and well-being. On the other hand, patients in the same clinical manifestations might have different responses. Either general or specific instruments could be utilized to measure the health-related quality of life of diabetes patients. Choice of the instrument depends on time of the measurement, validity of the instrument and the interpretability. In Ethiopia, short form 36 (SF-36) instruments were utilized and the highest (63.2 ± 34.4) and the lowest (30.2 ± 22.9) mean score scored in physical functioning and general health domain respectively. The study indicated that age, sex, marital status, educational status, feeling of stigmatized, co-morbidity status, chronic complication and body mass index are some of the predictors of health-related quality of life for patients living with diabetes mellitus.


2017 ◽  
Vol 12 (1) ◽  
pp. 34-37
Author(s):  
Stephanie Price ◽  
Quynh Nhu Le ◽  
Nicole D. White

Preventing or delaying the conversion of prediabetes to overt diabetes can reduce mortality and morbidity rates, improve health-related quality of life, and reduce other comorbid complications associated with diabetes. Studies have shown that a modest weight loss is one strategy for preventing or delaying diabetes diagnosis. First-line therapy in preventing progression of prediabetes to overt diabetes is weight loss through lifestyle modifications; however, pharmacotherapy for weight loss may be initiated if lifestyle alone is ineffective. The purpose of this article is to describe the pharmacotherapeuptic options for weight loss that can be used in conjunction with lifestyle in the prevention or delay of diabetes in patients with prediabetes.


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