ArticleEClinicalMedicine2023
The quality of prison primary care: cross-sectional cluster-level analyses of prison healthcare data in the North of England.
Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Critical illness in prisons: a multi-methods analysis of reported healthcare safety incidents in England.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026Article
- Article
- Forgotten, invisible and neglected, children in prison from the first few months of life: an act against humanity.BMJ paediatrics open · 2024Article
- Burden of scabies in a Ghanaian penitentiary.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Prisoners have significant health needs, are relatively high users of healthcare, and often die prematurely. Strong primary care systems are associated with better population health outcomes. We investigated the quality of primary care delivered to prisoners. Methods: We assessed achievement against 30 quality indicators spanning different domains of care in 13 prisons in the North of England. We conducted repeated cross-sectional analyses of routinely recorded data from electronic health records over 2017-20. Multi-level mixed effects logistic regression models explored associations between indicator achievement and prison and prisoner characteristics. Findings: Achievement varied markedly between indicators, prisons and over time. Achieved processes of care ranged from 1% for annual epilepsy reviews to 94% for blood pressure checks in diabetes. Intermediate outcomes of care ranged from only 0.2% of people with epilepsy being seizure-free in the preceding year to 34% with diabetes having sufficient blood pressure control. Achievement improved over three years for 11 indicators and worsened for six, including declining antipsychotic monitoring and rising opioid prescribing. Achievement varied between prisons, e.g., 1.93-fold for gabapentinoid prescribing without coded neuropathic pain (odds ratio [OR] range 0.67-1.29) and 169-fold for dried blood spot testing (OR range 0.05-8.45). Shorter lengths of stay were frequently associated with lower achievement. Ethnicity was associated with some indicators achievement, although the associations differed (both positive and negative) with indicators. Interpretation: We found substantial scope for improvement and marked variations in quality, which were largely unaltered after adjustment for prison and prisoner characteristics. Funding: National Institute for Health and Care Research Health and Social Care and Delivery Research Programme: 17/05/26.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.