Improving Service Evaluation in Clinical Genetics: Identifying Effects of Genetic Diseases on Individuals and Families

Marion McAllister, Katherine Payne, Stuart G. Nicholls, Rhona MacLeod, Dian Donnai, Linda Davies

Journal of Genetic Counseling · 2007 · 57 citations · 52 references

DOIFull text

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Concepts

TL;DR

Outcome measurement in clinical genetics is challenging because current attributes are provider‑developed or adapted from other fields, many patients are healthy yet at risk, and most services focus on information‑giving rather than treatment. The study aims to evaluate clinical genetics services by how effectively they alleviate disease effects from the patient perspective, using findings to inform and develop robust outcome measures. The authors conducted a qualitative study with seven focus groups of health professionals, patients, and patient representatives. The study identified social and emotional effects of genetic diseases and noted differences between professional and patient perspectives, informing the development of robust outcome measures.

Abstract

Outcome measurement in clinical genetics is challenging. Outcome attributes used currently have been developed by service providers or adapted from measures used in other areas of healthcare. Many of the ‘patients’ in clinical genetics are healthy but at risk of developing or transmitting a condition. Usually no pharmacological or surgical treatment is offered, although information‐giving is an objective of most consultations. We argue that services should be evaluated on the basis of how well they alleviate the effects of disease, from a patient perspective. This paper describes a qualitative study using seven focus groups with health professionals, patients and patient representatives. Social and emotional effects of genetics diseases were identified. Some differences emerged between the effects identified by health professionals and those identified by patients. These findings will be used to inform the evaluation of existing outcome measures and develop robust measures of outcome for clinical genetics services.

References

52