Evidence map›Paper›PMID 37601031›Full record

ArticleInternational journal of integrated care

The Long-Term Impacts of an Integrated Care Programme on Hospital Utilisation among Older Adults in the South of England: A Synthetic Control Study.

Paul Seamer, Therese Lloyd, Stefano Conti, Stephen O'Neill

Abstract read
In one paragraph

Article in International journal of integrated care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Paul SeamerThe Strategy Unit, NHS Midlands & Lancashire Commissioning Support Unit, Birmingham, UK.ORCID https://orcid.org/0009-0001-9175-4451
Therese LloydImprovement Analytics Unit, The Health Foundation, London, UK.ORCID https://orcid.org/0000-0002-5915-6136
Stefano ContiImprovement Analytics Unit, The Health Foundation, London, UK.ORCID https://orcid.org/0000-0002-0341-4386
Stephen O'NeillDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-0022-0500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Reducing hospital use is often viewed as a possible positive consequence of introducing integrated care (IC). We investigated the impact of an IC programme in North East Hampshire and Farnham (NEHF), in southern England, on hospital utilisation among older adults over a 55 months period. Method: We used a Generalised Synthetic Control design to investigate the effect of implementing IC in NEHF between 2015 and 2020. For a range of hospital use outcomes, we estimated the trajectory that each would have followed in the absence of IC and compared it with the actual trajectory to estimate the potential impact of IC. Results: Three years into the programme, emergency admission rates started reducing in NEHF relative to its synthetic control, particularly those resulting in overnight hospital stays. By year 5 of the study overall emergency admission rates were 9.8% lower (95% confidence interval: -17.2% to -0.6%). We found no sustained difference in rates of emergency department (ED) visits, and average length of hospital stay was significantly higher from year 2. Conclusion: An IC programme in NEHF led to lower than estimated emergency admission rates; however, the interpretation of the impact of IC on admissions is complicated as lower rates did not appear until three years into the programme and the reliability of the synthetic control weakens over a long time horizon. There was no sustained change in ED visit rates.

Indexed as

Englandhealth carehospital utilisationintegrated carelong-termolder peoplesynthetic control

Identifiers

PMID37601031
PMCPMC10437138

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.