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First insight into which patients repeatedly miss GP appointments

Socio-economic deprivation is biggest risk factor

Date:
December 5, 2017
Source:
Lancaster University
Summary:
The largest ever analysis of NHS patients who fail to attend reveals that the most important indicator of which patients will miss multiple appointments is socio-economic deprivation. A fifth of people are regularly missing appointments with those aged 16-30 and over 90 the most likely to fail to attend.
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Many patients are regularly missing GP appointments according to the largest ever analysis of NHS patients who fail to attend.

The most important indicator of which patients will miss multiple appointments is socio-economic deprivation according to researchers.

The paper in The Lancet Public Health led jointly by Dr David Ellis of Lancaster University and Dr Ross McQueenie from the University of Glasgow examined the characteristics of patients who do not keep appointments with their doctors, sometimes on dozens of occasions.

This is estimated to cost the NHS millions of pounds a year and means patients are not getting the medical care they need.

This is the largest survey on missed appointments to date and tracked the appointment histories of over 500,000 patients in Scotland for 3 years from 2013-2016 using NHS data provided on condition of patient and practice anonymity.

It is the first ever survey of patients who miss not one but multiple GP appointments and revealed that:

  • Nearly 20% of patients missed more than two appointments over a 3 year period
  • 46% of patients missed one or more appointments over the same 3 year period

The research revealed that patients most likely to miss multiple appointments are "significantly more likely" to be:

  • Aged 16-30
  • Aged over 90 years old

Dr Ellis said: "Despite this, the most important patient-level factor to predict the likelihood of serially missing GP appointments remains high levels of socioeconomic deprivation."

Patients were also more likely to miss multiple appointments if they were registered in GP practices which:

  • Offered appointments in 2-3 days following a booking request
  • Were located in affluent urban areas

Dr McQueenie added "Our results suggest that socioeconomically deprived patients attending practices based in more affluent areas might have particularly high levels of unmet health need in primary care settings."

The work is based on the theory that serial missed appointments are 'health harming behaviours'-complex behaviours that have their roots in experienced adversity with future ways to increase attendance aiming to focus on positive strategies to support patients' attendance.

Dr Andrea Williamson the academic GP who set up the study also said- ' These first results about the profiles of patients who struggle to attend GP appointments support clinical intelligence that patients who serially miss, have high levels of social and health vulnerability. Further analysis of our large data set examining health and social outcomes is investigating this further and will be published soon.'


Story Source:

Materials provided by Lancaster University. Note: Content may be edited for style and length.


Journal Reference:

  1. David A Ellis, Ross McQueenie, Alex McConnachie, Philip Wilson, Andrea E Williamson. Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis. The Lancet Public Health, 2017; 2 (12): e551 DOI: 10.1016/S2468-2667(17)30217-7

Cite This Page:

Lancaster University. "First insight into which patients repeatedly miss GP appointments." ScienceDaily. ScienceDaily, 5 December 2017. <www.sciencedaily.com/releases/2017/12/171205104208.htm>.
Lancaster University. (2017, December 5). First insight into which patients repeatedly miss GP appointments. ScienceDaily. Retrieved April 18, 2024 from www.sciencedaily.com/releases/2017/12/171205104208.htm
Lancaster University. "First insight into which patients repeatedly miss GP appointments." ScienceDaily. www.sciencedaily.com/releases/2017/12/171205104208.htm (accessed April 18, 2024).

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