Which method of communication do GPs prefer to use?
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Biomedical subjects
Publications and source records attributed to F C Warner.
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OBJECTIVE: To investigate whether asthma or its treatment impairs children's growth, after allowing for socioeconomic group. DESIGN: 4 year follow up of a cohort of children aged 1-15. SETTING: 12 general practices in the Tayside region of Scotland. SUBJECTS: 3347 children with asthma or features suggestive of asthma registered with the general practices. MAIN OUTCOME MEASURES: Height and weight standard deviation scores. RESULTS: Children who lived in areas of social deprivation (assessed by postcode) had lower height and weight than their contemporaries (mean standard deviation score -0.26 (SD 1.02) and -0.18 (1.15) respectively, P < 0.001 for both). Children who were receiving > or = 400 micrograms daily of inhaled steroids and who were attending both hospital and general practice for asthma care had lower height and weight than average, independent of the effect of deprivation (mean standard deviation score -0.62 (1.01), P = 0.002, for height and -0.58 (0.94), P = 0.005, for weight). Children receiving high doses of inhaled corticosteroids also showed lower growth rates (mean change in standard deviation score -0.19 (0.51), P = 0.003). However, no other children with asthma showed growth impairment. CONCLUSION: Most children with asthma were of normal height and weight and had normal growth rates. However, children receiving high doses of inhaled steroids and requiring both general practice and hospital services had a significant reduction in their stature. This effect was independent from but smaller than the effect of socioeconomic group on stature.
BACKGROUND: A long-term evaluation of the process and outcomes of primary and secondary care is required to establish whether audit facilitators can improve the care of childhood asthma. AIM: To examine the long-term effect of an intervention by an audit facilitator on the management of children with asthma, and to investigate the implications for health service costs. METHOD: A 4-year follow up was conducted of an intervention and control group totalling 2557 children aged 1-15 years from 12 general practices in the Tayside region. Primary care consultations, prescriptions, hospital contacts and health service costs 1 year before and 3 years after a facilitator visited practices were recorded. The facilitator encouraged the diagnosis and treatment of childhood asthma in the intervention group. RESULTS: Favourable changes in consultation patterns, prescriptions and reduced hospital admissions seen during the intervention year did not persist in subsequent years. Two and three years after the facilitator visit the process and outcome of care was similar in both groups. The reduction in health service costs seen in the intervention group was equivalent to the cost of employing a facilitator. CONCLUSION: The effect of a facilitator lasts only for the period of intervention. Enthusiasts will say that improving patient care without increasing health service costs justifies the widespread deployment of facilitators. Others more interested in long-term outcomes may disagree.
PRIMARY OBJECTIVE: To investigate whether computer decision support software used in the management of patients with asthma improves clinical outcomes. RESEARCH DESIGN: Randomized controlled trial with practices each reporting on 30 patients with asthma over a 6 month period. METHODS AND PROCEDURES: 447 patients were randomly selected from practice asthma registers managed by 17 general practices from throughout the UK. Intervention practices used the software during consultations with these patients throughout the study while control practices did not. MAIN OUTCOMES AND RESULTS: Practice consultations, acute exacerbations of asthma, hospital contacts, symptoms on assessment and medication use. A smaller proportion of patients within the intervention group initiated practice consultations for their asthma: 34 (22%) vs 111 (34%), odds ratio (OR) = 0.59, 95% confidence interval (CI) (0.37-0.95); and suffered acute asthma exacerbations: 12 (8%) vs 57 (17%), OR = 0.43, 95% CI = 0.21-0.85 six months after the introduction of the computer decision support software. There were no discernable differences in reported symptoms, maintenance prescribing or use of hospital services between the two groups. CONCLUSION: The use of computer decision support software that implements guidelines during patient consultations may improve clinical outcomes for patients with asthma.