Our study and findings

In our study, we analysed linked primary and secondary care records from 200 GP practices in England. The practices were those that participated in the Clinical Practice Research Data Link, which is broadly representative of all GP practices in England. In this dataset:

  • 33% (67/200) of practices were large (7 or more full-time equivalent GPs)
  • 29% (58/200) of practices were medium (4–6 full-time equivalent GPs)
  • 20% (40/200) of practices were small (3 or fewer full-time equivalent GPs)
  • 18% (35/200) of practices did not report the number of GPs.

We examined records for 230,472 patients who were aged between 62 and 82 and had at least two contacts with a GP between April 2011 and March 2013 (see Table 1 for details of the patients studied). We used data we had already used to evaluate the impact of a national policy aimed at improving the continuity of care for patients in this age group; hence our restricted age range. For each patient, we calculated the number of hospital admissions that occurred between those dates, and measured continuity of care with their usual GP over the same period.

We focused on hospital admissions – both elective and emergency – for ambulatory care sensitive conditions, which are considered to be manageable in primary care a lot of the time. They include certain long-term conditions, such as asthma, where good quality care, combined with self-management, should prevent flare-ups that need hospital treatment. They also include acute conditions where timely and effective primary care stops the condition developing and avoids patients needing hospital treatment (eg urinary tract infections), and conditions that are vaccine-preventable (eg influenza). While not all admissions for ambulatory care sensitive conditions could have been resolved in primary care, we decided to focus our research on patients with these type of conditions because, given the data available, this was the best way of estimating the impact of primary care on secondary care.

On average, each patient had 0.16 hospital admissions for ambulatory care sensitive conditions between April 2011 and March 2013. There were no admissions for 88% of patients, while 9% had a single admission and 3% had several.

Table 1: Characteristics of the patients studied

All patients

Average age in years

71

Socioeconomic deprivation (number of patients (% of patients))

  • Lowest fifth (least deprived)
  • Second fifth
  • Third fifth
  • Fourth fifth
  • Highest fifth (most deprived)

60,659 (26.3%)

58,515 (25.4%)

47,464 (20.6%)

38,389 (16.7%)

25,445 (11.0%)

Number of long-term conditions per patient (number of patients (% of patients))

  • 0
  • 1
  • 2+


84,374 (36.6%)

77,111 (33.4%)

69,083 (30.0%)

Number of GP contacts per patient (mean)

11.4

Number of admissions for ambulatory care sensitive conditions per patient (mean)

0.16

Trends in continuity of care

We measured continuity of care using the Usual Provider of Care index (or UPC). This is a simple metric that looks at what proportion of a patient’s contacts were with their most frequently seen GP. For example, if a patient had 10 GP contacts and six were with the same GP, then the UPC index would be 0.6. On average, each patient in our dataset had 11.4 GP contacts over the two-year period, with a UPC index of 0.61 (i.e. 61% of contacts were with the same GP).

Figure 1: Association between general practice size and continuity of care

The continuity of care received by patients varied depending on the size of their GP practice, with patients in larger practices (where there were seven or more full-time equivalent GPs) being less likely to see their most frequently seen GP. In larger practices, the UPC was 0.59 compared with 0.70 for patients in smaller practices, where there were one to three full-time equivalent GPs.

The link between continuity of care and hospital admissions

We found that patients who experienced higher continuity of care in general practice tended to experience fewer hospital admissions for ambulatory care sensitive conditions.

This analysis took account of differences in the clinical and demographic characteristics of patients, including their age, gender, number of long-term conditions, and the number of GP contacts and referrals to specialist care over the period preceding our study. We also adjusted for the level of socio-economic deprivation of their local area.

Allowing for these factors, an increase in UPC of 0.2 for all patients was associated with a 6% decrease in hospital admissions for ambulatory care sensitive conditions. In other words, if these patients saw their most frequently seen GP two more times out of every 10 consultations, this would be associated with a 6% decrease in admissions.

Interpretation

Our findings suggest improvements in continuity in primary care might help offset mounting pressures on secondary care for older patients. This could happen for a number of reasons. For example, continuity of care might help GPs understand the needs and preferences of their patients. This could help them recommend suitable courses of treatment that are acceptable to the patient, or detect and prevent acute health events. Continuity may also help develop mutual trust between GPs and patients and thus decrease the likelihood that patients will choose to seek care elsewhere.

We noticed that there was a stronger link between continuity of care and hospital admissions for people at the older end of our sample than those who were younger. So, while it is difficult to extrapolate beyond our data, the trend suggests that a similar finding would be found for patients older than 82 years old.

However, it is important to bear in mind the limitations of the analysis. Our study focused exclusively on general practitioners, but other parts of the health system (such as community or mental health care) also have an impact on admissions for ambulatory care sensitive conditions. In addition, in a study such as this, we could not establish causality. It is possible that during an acute episode there is a simultaneous increase in the number of hospital admissions (due to the additional health need) and a decline in care continuity (due to a need for rapid access to general practice). Such a scenario could be an alternative explanation for our findings. Further studies are needed that address specific interventions which aim to improve continuity, and evaluate any impact on hospital admissions. These studies could also address aspects of continuity not considered in our study (see Box 1), such as the subjective experience of a caring relationship between GP and patient, or the benefits of informational and management continuity within the general practice and across primary and secondary care.

Further investigation is also needed to examine whether the trend towards larger practices has implications for the continuity of care provided. In our study, large practices typically provided lower continuity of care, with an average UPC index of 0.59, compared with 0.63 for the medium-sized practices and 0.70 in the small practices.

While these findings suggest that there is room to improve continuity in larger practices these findings might also reflect shortcomings of the UPC index. For example, patients in larger practices may be deliberately managed by several GPs, or indeed nurses and other health care workers, working in a small team. These arrangements might confer many of the benefits associated with continuity of care (for example, by improving informational and management continuity), but we could not assess them due to limited data.


* 6% at a 95% confidence interval, within the range of 8% to 5%. A 95% confidence interval can be loosely interpreted as indicating a range within which we can be 95% certain that the true effect lies.

See, for example, the 3D study to improve care for patients that is currently underway.

Previous Next