Compression sclerotherapy: a functional evaluation.

PURPOSE: The lack of models to define and describe rehabilitation processes have often been identified as limiting research and the development of clinical practice. This study describes the development of a clinical model to address a key aspect of stroke physiotherapy--the assessment of posture and balance. METHOD: Twenty seven experienced neurological physiotherapists (PT) in six focus groups were used. Participants were shown photographs of a typical stroke patient in sitting and standing positions and were asked 'What would you note if you were assessing the posture and balance of this patient?' Answers were displayed on flip charts to allow immediate feedback about the accuracy and completeness of data. Thematic content analysis was then used. RESULTS: A complex reasoning process emerged to answer three main questions: What can the patient do? How does s/he do it? Why does s/he do it that way? To answer these questions physiotherapists established balance disability (by observing the patient's ability to perform a series of increasingly demanding balance tasks), identified postural and movement impairments (by observing alignment and movement of body segments relative to each other and to the expected norm for that patient) and assessed muscle activity (by observation and palpation). CONCLUSIONS: Focus groups have been used to elicit a clinical model for the assessment of posture and balance, the content of which will be used to inform a new outcome measure.

Evaluation Studies as Topic↗

PubMed2003

Evaluation of qualitative research.

It is necessary to subject published research to critical scrutiny, in order to evaluate the robustness of the findings. The criteria used in evaluation require to be appropriate for the research paradigm, i.e. quantitative or qualitative. Quantitative conceptualizations of reliability and validity are unsuitable for evaluation of qualitative research as they were not devised for this purpose. The use of quantitative criteria to evaluate qualitative research may create the impression that the latter is not academically rigorous. Evaluation criteria which are specific to qualitative research require identification and application, in order to provide a formalized and rigorous approach to critical appraisal. A formalized framework for evaluation will help to ensure that the contribution of qualitative studies, with specific reference to health services research, receives optimum recognition. The work of a number of writers is used in this paper to examine the features which distinguish qualitative research and the following are discussed: the need for researcher reflexivity; the use of the 'first person' in academic work; the context in which research takes place; the selection of research participants; the interpretation of participants' accounts; the active acknowledgement of 'lay' knowledge; researcher flexibility within the research process; the generalizability of findings. It is concluded that academically rigorous criteria, which are appropriate for evaluation of qualitative research, exist and are available for use by practitioners and researchers.

Evaluation Studies as Topic↗

PubMed2003

A quantified sensitivity measure for multilayer perceptron to input perturbation.

The sensitivity of a neural network's output to its input perturbation is an important issue with both theoretical and practical values. In this article, we propose an approach to quantify the sensitivity of the most popular and general feedforward network: multilayer perceptron (MLP). The sensitivity measure is defined as the mathematical expectation of output deviation due to expected input deviation with respect to overall input patterns in a continuous interval. Based on the structural characteristics of the MLP, a bottom-up approach is adopted. A single neuron is considered first, and algorithms with approximately derived analytical expressions that are functions of expected input deviation are given for the computation of its sensitivity. Then another algorithm is given to compute the sensitivity of the entire MLP network. Computer simulations are used to verify the derived theoretical formulas. The agreement between theoretical and experimental results is quite good. The sensitivity measure can be used to evaluate the MLP's performance.

Evaluation Studies as Topic↗