Editor—Carlisle et al report an association between markers of social deprivation derived from the 1991 census and out of hours contacts with both general practice services and accident and emergency departments.1
We undertook a related study in east London, based on 63 000 attendances by adults at accident and emergency departments.2 This showed that factors related to social deprivation accounted for 48% of the variation in total adult attendance rates between practices. This was so even in an area of consistently high deprivation where the practices’ underprivileged area (Jarman) scores ranged from 30.4 to 62.1 (median value 42.5). In contrast to Carlisle et al, we included in the multivariate analysis explanatory variables relating to practice size and resources, since organisational factors are often cited as causes of high use of accident and emergency departments among inner city populations.3 We found that practice characteristics (partnership size, female partner, practice manager, nurse, training status, and computer) did not predict rates of attendance, while markers of deprivation did. Distance from the hospital was negatively correlated with attendance rates in the univariate analysis but not in the multivariate analysis.
Carlisle et al’s paper mentioned another intriguing finding: wide variation in out of hours use of both general practitioners and accident and emergency departments between practices serving populations from the same wards. We recently completed a study examining the outcomes of all attendances at an accident and emergency department by patients from two practices over seven months.4 The practices were in Tower Hamlets, had similar underprivileged area scores, were in close proximity to each other, and were within 2 km of the nearest hospital.4 While the attendance rates at accident and emergency departments from the two practices were significantly different, the outcomes, in terms of the proportions of patients admitted and referred on to outpatients, were similar (table). This suggests that case mix and severity vary between apparently similar practice populations.
If practice based budgets are to be based on an equitable allocation of scarce resources it is important to develop robust markers of variations in case mix among practices, which can contribute to the debate on resource allocation in primary care.
Table.
Practice 1 | Practice 2 | |
---|---|---|
Underprivileged area score | 52.0 | 51.2 |
Practice population: | ||
No of patients | 7307 | 11 084 |
Proportion aged under 16 (%) | 14.5 | 18.4 |
Annual rate of attendance at A&E* (per 1000 registered patients) | 124.1 | 189.7 |
Rate of admission from A&E (%) | 17.6 | 18.4 |
Rate of referral from A&E as outpatient (%) | 8.3 | 10.0 |
Assuming attendance rate is constant over time and multiplying figures for seven month study by 12/7.
References
- 1.Carlisle R, Groom LM, Avery AJ, Boot D, Earwicker S. Relation of out of hours activity by general practice and accident and emergency services with deprivation in Nottingham: longitudinal survey. BMJ. 1998;316:520–523. doi: 10.1136/bmj.316.7130.520. . (14 February.) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hull SA, Jones IR, Moser K. Factors influencing the attendance rate at accident and emergency departments in east London: the contributions of practice organisation, population characteristics and distance. J Health Serv Res Policy. 1997;2:6–13. doi: 10.1177/135581969700200104. [DOI] [PubMed] [Google Scholar]
- 3.Tomlinson B. Report of the inquiry into London’s health services, medical education and research. London: HMSO; 1992. [Google Scholar]
- 4.Hull SA, Jones I, Fisher J, Moser K. Attendance patterns at the Royal London trust accident and emergency department from local general practices. London: North Thames Regional Health Authority; 1996. [Google Scholar]