Evidence map›Paper›PMID 37827735›Full record

ArticleBMJ open2023

Cross-sectional analyses of online appointment booking and repeat prescription ordering user characteristics in general practices of England in the years 2018-2020.

Abrar Alturkistani, Geva Greenfield, Thomas Beaney, John Norton, Ceire E Costelloe

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Observational
  3. Observational
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

5 authors at 3 institutions in 1 country.

Abrar AlturkistaniDepartment of Primary Care and Public Health, Imperial College London, London, UK abrar.alturkistani16@imperial.ac.uk.ORCID 0000-0001-7935-8870
Geva GreenfieldDepartment of Primary Care and Public Health, Imperial College London, London, UK.
Thomas BeaneyDepartment of Primary Care and Public Health, Imperial College London, London, UK.ORCID 0000-0001-9709-7264
John NortonApplied Research Collaboration Northwest London, National Institute for Health Research, London, UK.
Ceire E CostelloeDepartment of Primary Care and Public Health, Imperial College London, London, UK.
Imperial College London · GBInstitute of Cancer Research · GBNational Institute for Health Research · GB

Funding

Department of Health
6 · The paper itself

Abstract

objectivesTo explore the characteristics of the General Practice Patient Survey (GPPS) respondents using the different functionalities of the online services in the context of England's National Health Service General Practices. We hypothesised that respondents who are older, with lower socioeconomic status and non-white ethnicity would be less likely to use online services, while long-term conditions might increase their usage.

designCross-sectional study using respondent-level data from the GPPS in England of the years 2018, 2019 and 2020. We assessed the association between online services use and respondent characteristics using two-level mixed-effects logistic regression.

participantsSurvey respondents of the GPPS 2018-2020. PRIMARY OUTCOME MEASURES: Online appointment booking and online repeat prescription ordering.

results1 807 049 survey respondents were included in this study. 15% (n=263 938) used online appointment booking in the previous 12 months, and 19% (n=339 449) had ordered a repeat prescription in the previous 12 months. Respondents with a long-term condition, on regular multiple medications, who have deafness or hearing loss and who are from the lowest deprivation quintile were more likely to have used online services. Male respondents (compared with females) and respondents with black and other ethnicity compared with white ethnicity were less likely to use online services. Respondents over 85 years old were less likely to use online appointment booking and online repeat prescription ordering compared with the younger age groups.

conclusionsSpecific groups of respondents were more likely to use online services such as patients with long-term conditions or those with deafness or hearing loss. While online services could provide efficiency to patients and practices it is essential that alternatives continue to be provided to those that cannot use or choose not to use online services. Understanding the different patients' needs could inform solutions to increase the uptake and use of the services.

Indexed as

DeafnessGeneral PracticeHearing LossAged, 80 and overCross-Sectional StudiesEnglandFemaleHumansMalePrescriptionsState Medicinehealth policyhealth services administration & managementorganisation of health services

Identifiers

PMID37827735
PMCPMC10583059
OpenAlexW4387569663

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.