Primary care research networks may herald new collaborations.
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Comment↗
Biomedical subjects
Gill Rowlands
Publications and source records attributed to Gill Rowlands.
A lesson learnt: the importance of modelling in randomized controlled trials for complex interventions in primary care.
BACKGROUND: The Randomised Controlled Trial (RCT) is recognised as the 'gold standard' in quantitative research. However RCTs testing health care interventions can be difficult to design and implement. Health care interventions are often complex in themselves and are always applied in complex settings. Such interventions require a process of careful 'modelling' to maximize the chances of successful trials that will add to knowledge. OBJECTIVES: To describe the terms 'complex' and 'modelling' as used in the setting of randomised controlled trials of complex interventions. To give a practical example of an RCT involving a complex intervention applied in a health care setting to illustrate how this might take place in practice. METHODS: We describe an RCT designed and conducted by the authors. We then use our trial as an example to illustrate how complex interventions such as ours might benefit from modelling during the design of the intervention and the setting within which the intervention is to be tested. RESULTS: Our project was designed and tested before current guidance on complex interventions was published; our RCT was therefore not 'modelled' but was based on the outcome of a single quantitative pilot study. As part of our study we ran a parallel qualitative study, which highlighted several areas of complexity both in our intervention, and in the setting within which we applied it. In this paper we show how modelling might have allowed us to recognise these complexities at an early stage and might therefore have resulted in a study more likely to have demonstrated useful outcomes. CONCLUSION: Careful modelling of complex interventions is an essential step in designing trials of innovations in health care and health care services. Such a process ensures that interventions fit with and reflect the complexities of the settings within which interventions will be applied, and should ensure that the outcomes chosen are those most appropriate to demonstrate any benefits or risks.
Algorithms↗
A knowledge audit of the managers of primary care organizations: top priority is how to use routinely collected clinical data for quality improvement.
Technology has provided improved access to the rapidly expanding evidence base and to computerized clinical data recorded as part of routine care. A knowledge audit identifies from within this mass of information the knowledge requirements of a professional group or organization, enabling implementation of an appropriately tailored knowledge-management strategy. The objective of the study is to describe perceived knowledge gaps and recommend an appropriate knowledge-management strategy for primary care. The sample comprised 18 senior managers of Primary Care Trusts: the Chairman, Chief Executive Officer, or Research and Development Lead. A series of interviews were recorded verbatim, transcribed and analysed. Knowledge requirements were broad, suggesting that a broadly based knowledge-management strategy is needed in primary care. The biggest gap in current knowledge identified is how to perform needs assessment and quality improvement using aggregated routinely collected, general practice computer data.
Data Collection↗
How are primary care organizations using financial incentives to influence prescribing?
METHODS: Primary care organizations (PCOs) in England are required to run a prescribing incentive scheme. The average payment received by general practitioners (GPs) under these schemes is not known. We conducted a longitudinal (2 year) questionnaire study of all PCOs in London and the south east of England aiming to explore the relationship between the financial incentives, the selection of prescribing indicators and success at remaining within budget. In the second year, the average reward per GP amounted to 1220 pounds (range 470 pounds-4330 pounds). Underspent PCOs made larger incentive scheme payments to their practices as did PCOs that had successfully overturned a first year overspend into a second year underspend. The size of rewards was unrelated to the selection of any particular cost- or quality-based prescribing indicator. We conclude that larger prescribing incentive scheme payments may have contributed to prescribing cost control but their effect on prescribing quality is uncertain.
Budgets↗
Why has antibiotic prescribing for respiratory illness declined in primary care? A longitudinal study using the General Practice Research Database.
BACKGROUND: Antibiotic prescribing by general practitioners (GPs) increased in the 1980s and peaked in 1995. Prescribing volumes subsequently fell by over a quarter between 1995 and 2000, mostly accounted for by reduced antibiotic prescribing for acute respiratory illnesses. We aimed to investigate changes in consultation rates and the proportion of consultations with antibiotics prescribed for different types of respiratory tract infections. METHODS: Data were derived from 108 UK general practices, covering a mean of 642,685 patients, reporting data to the General Practice Research Database (GPRD) continuously between 1994 and 2000. OUTCOME MEASURES: annual age- and sex-standardized consultation rates for 11 different acute respiratory infections per 1000 registered patients and proportions of these consultations resulting in an antibiotic prescription. RESULTS: The standardized consultation rate for 'any respiratory infection' declined by 35 per cent from 422 to 273 per 1000 registered patients, per year. The largest relative reductions in consultation rates were observed for 'common cold' (50 per cent), 'laryngitis' (43 per cent) and 'sore throat' (43 per cent). The standardized proportion of consultations that resulted in an antibiotic prescription for 'any respiratory infection' declined from 79 per cent in 1994 to 67 per cent in 2000. The largest relative reductions in antibiotic prescribing rates occurred in patients recorded as suffering from 'influenza' (52 per cent), 'upper respiratory tract infections' (33 per cent) and 'laryngitis' (30 per cent). Overall, antibiotic prescriptions for all acute respiratory infections declined by 45 per cent. CONCLUSION: The reduction in antibiotic prescribing in common respiratory infections between 1994 and 2000 has occurred partly because GPs are prescribing antibiotics less frequently when patients consult but mainly because there are fewer consultations with these conditions. Further work should aim to understand the reasons for the decline in consultations for respiratory infections and whether further reductions in antibiotic prescribing are feasible.
Acute Disease↗
Supplementary list inaccuracy.
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Documentation↗