Regional variation in intervention rates: what are the implications for patient selection?

Background Whereas geographical variations in intervention rates are well recognized, little is known about their implications for patient selection. This study looks at how the relative probability of being treated in different regions within England vary with a person's need for treatment, an...

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Published inJournal of public health (Oxford, England) Vol. 19; no. 3; pp. 274 - 280
Main Authors Black, Nick, Griffiths, Joanne, Glickman, Mark.E.
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.09.1997
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Summary:Background Whereas geographical variations in intervention rates are well recognized, little is known about their implications for patient selection. This study looks at how the relative probability of being treated in different regions within England vary with a person's need for treatment, and whether higher intervention rates are associated with a greater probability of treatment at all levels of need or confined to only certain levels. Methods The method was modelling of retrospective data from population surveys, patient cohort studies and population intervention rates. Two southern regions (SW Thames and Wessex) and two northern regions (Northern and Mersey) were compared. Subjects were men aged 55 years and above in the population with urinary symptoms suggestive of benign prostatic hyperplasia and men undergoing surgical treatment. The ratio of probability of surgery in the southern regions by level of symptom severity was determined. Results The rate of surgery in the southern regions was 26.5 per cent higher than in the north. A higher proportion of patients in the north had severe symptoms before surgery (58 per cent vs 52 per cent; p = 0.002). The probabilities of being operated on in a given year varied by symptom severity in both the north and the south. The probability was higher in the south at all levels of symptom severity: none/mild (ratio = 1.44; p>0.01), low-moderate (ratio=1.35; p = 0.003), high-moderate (ratio =1.53; p< 0.0001), and severe (ratio= 1.15; p>0.01). On testing the sensitivity of the key assumptions by assuming a more severe distribution of symptoms in the south, the differences at none/mild and low-moderate symptom levels were enhanced but differences at high-moderate and severe symptom levels were reversed. Conclusions As few men with mild symptoms qualify for surgery and most men with severe symptoms are operated on, any difference in patient selection between high and low rate regions is inevitably confined to the intermediate group of men with moderate symptoms. Surgeons appear to be rationing their resources in a sensible way, though perhaps not as stringently as could be achieved.
Bibliography:ark:/67375/HXZ-RXDQF6FR-M
Address correspondence to Professor Black
ArticleID:19.3.274
istex:F775C9AAA0977C5F89446C9B13CABDACCFE864DA
ISSN:1741-3842
0957-4832
1741-3850
DOI:10.1093/oxfordjournals.pubmed.a024630