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BMJ 2005;331:81-84 (9 July), doi:10.1136/bmj.331.7508.81
Val Lattimer, reader in nursing1, Joanne Turnbull, researcher1, Abigail Burgess, researcher1, Heidi Surridge, researcher1, Karen Gerard, senior lecturer in health economics2, Judith Lathlean, professor of health research1, Helen Smith, professor of primary care3, Steve George, reader in public health2
1 Health Services Research Group, University of Southampton School of Nursing and Midwifery, Southampton S016 1BJ, 2 Public Health Sciences and Medical Statistics, Community Clinical Sciences Division, University of Southampton School of Medicine, Southampton, 3 Department of Public Health and Primary Care, Brighton and Sussex Medical School, Brighton
Correspondence to: V Lattimer v.a.lattimer{at}soton.ac.uk
Design Observational before and after study of demand, activity, and trends in the use of other health services.
Participants 34 general practice cooperatives with NHS Direct partners (exemplars): four were case exemplars; 10 control cooperatives.
Setting England.
Main outcome measures Extent of integration; changes in demand, activity, and trends in emergency ambulance transports; attendances at emergency departments, minor injuries units, and NHS walk-in centres; and emergency admissions to hospital in the first year.
Results Of 31 distinct exemplars, 21 (68%) integrated all out of hours call management. Nine (29%) achieved single call access for all patients. In the only case exemplar where direct comparison was possible, a higher proportion of telephone calls were handled by cooperative nurses before integration than by NHS Direct afterwards (2622/6687 (39%) v 2092/7086 (30%): P < 0.0001). Other case exemplars did not achieve 30%. A small but significant downturn in overall demand for care seen in two case exemplars was also seen in the control cooperatives. The number of emergency ambulance transports increased in three of the four case exemplars after integration, reaching statistical significance in two (5%, -0.02% to 10%, P = 0.06; 6%, 1% to 12%, P = 0.02; 7%, 3% to 12%, P = 0.001). This was always accompanied by a significant reduction in the number of calls to the integrated service.
Conclusion Most exemplars achieved integration of call management but not single call access for patients. Most patients made at least two telephone calls to contact NHS Direct, and then waited for a nurse to call back. Evidence for transfer of demand from case exemplars to 999 ambulance services may be amenable to change, but NHS Direct may not have sufficient capacity to support national implementation of the programme.
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We defined integration as NHS Direct handling calls and giving advice to a proportion of people, redirecting others as appropriate. We defined single call access as automatic diversion of a call to NHS Direct from the practice or cooperative number. Nineteen cooperatives with more than 100 000 patients were invited to take part as controls. Eleven (58%) agreed and 10 provided data. All had out of hours contact rates within the range described in a previous study of representative English cooperatives.3 We requested data on the extent of integration and single call access from all exemplars. Within the area covered by each case exemplar and control cooperative we collected data for a year before and after integration on out of hours calls to NHS Direct and cooperatives; new attendances at emergency departments, minor injuries units, and NHS walk-in centres; and 999 ambulance transports to hospital. Patterns of data collection in participating NHS organisations meant that data could not be restricted to out of hours periods for all sources.
We examined the effects of introduction of case exemplars on use of other services by fitting linear regression models to data reporting the number of contacts per month with each immediate care service. These methods were adapted from those used in the evaluation of the first three NHS Direct pilot sites.4 Integration was achieved at different times for each of the four case exemplars, necessitating separate analysis for each. We used the Durbin-Watson test to detect first order autocorrelation in the residuals of the regression models. Systematic monthly variation in service use was removed by fitting "month" as a fixed effect within each model, with "log monthly count of service contacts" treated as an independent effect. We tested the effect of integration of each case exemplar site by fitting it as a step function (before = 0; after = 1).
Results are reported as regression coefficients with standard errors and P values, and the percentage difference between observed activity after the integration of the exemplar site and predicted activity based on data before integration (with 95% confidence intervals) for the use of each service. We created a value for total calls by summing 999 ambulance calls, new attendances at emergency departments, calls to general practice cooperatives and, where appropriate, attendances at minor injuries units (but not emergency hospital admissions) and tested for a change in the linear trend in total calls. We analysed pooled control data for each of the case exemplar integration dates to determine whether any estimated changes associated with integration of an exemplar occurred in the control sites. Although none of our case exemplar sites contained an NHS walk-in centre, several of the control sites did: for analysis we combined these data with those for the minor injuries units. All analyses were carried out in SPSS 12.5.
A small but significant downturn in overall demand for care was seen in two case exemplars (07 and 29) in the year after integration (table 1), but this was also seen in pooled data from the control sites (table 2). The number of emergency ambulance transports increased in three case exemplars after integration, reaching statistical significance in two. In each case this was accompanied by a significant reduction in the number of calls to the integrated service.
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Calls to 999 ambulance services increase annually, but we found a further significant upward change in that trend after integration. Decision support software used by NHS Direct may have influenced triage end points, and this may be amenable to change. Alternatively the increase in demand for 999 ambulances may have been a transfer effect, with patients contacting the ambulance service rather than waiting for their return telephone call. NHS Direct may not have the capacity to manage all out of hours demand in the way the 2000 review of out of hours care in England envisaged.1
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Contributors: VL, SG, KG, and HSmith obtained funding for the study. VL and JT organised data collection. JT collected the data, with assistance from AB and HSurridge. The project group chaired by VL and JL planned and conducted the study. SG, JT, and HSurridge analysed the data. VL, SG, JT, and KG wrote the paper, with contributions from the other authors. SG and VL are guarantors.
Funding: This work was undertaken by the University of Southampton, which received funding from the Department of Health. Views expressed are those of the authors and not necessarily those of the Department of Health.
Competing interests: None declared.
Ethical approval: Trent multicentre research ethics committee.
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