ArticleBMJ quality improvement reports2013
Telephone consultations in primary care, how to improve their safety, effectiveness and quality.
Article in BMJ quality improvement reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 17 citations in OpenAlex.
- Do Medical Schools Need to Adapt Their Curriculum in Order to Teach Medical Students 'Webside' Manner? A Systematic Review.Medical science educator · 2025Review
- Patient safety in remote primary care encounters: multimethod qualitative study combining Safety I and Safety II analysis.BMJ quality & safety · 2024Article
- Effects of a Clinical Simulation-Based Training Program for Nursing Students to Address Social Isolation and Loneliness in the Elderly: A Quasi-Experimental Study.Healthcare (Basel, Switzerland) · 2023Article
- Saving lives by asking questions: nurses' experiences of suicide risk assessment in telephone counselling in primary health care.Primary health care research & development · 2022Article
- Telephone-Based Structured Communication Simulation Program for the Follow-Up of COVID-19 Cases and Contacts in Primary Care.International journal of environmental research and public health · 2022Article
- Effectiveness of a Family-Caregiver Training Program in Home-Based Pediatric Palliative Care.Children (Basel, Switzerland) · 2021Article
- Triaging Patients With Artificial Intelligence for Respiratory Symptoms in Primary Care to Improve Patient Outcomes: A Retrospective Diagnostic Accuracy Study.Annals of family medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Consultations on telephone are ever increasing especially in primary healthcare. Currently the estimated total number consultations in England rose from 224.5 million to 243.1 million in 1995/1996 to 303.9 million to 313.6 million in 2008/2009, out of which 3% of consultations in 1995/1996 were telephone consultations which increased to 12% in 2008/2009. Literature search was done on published articles on tele-healthcare which resulted in devising a telephone consultation model. An audit was carried out in urban Cambridge family practice over the period of one year after implementing this telephone consultation model. Following proposed consultation model by healthcare staff, it has improved patient satisfaction survey from 75% to 94%, face to face consultation rate was reduced by 1.6%, home visits were reduced by 2.9% however the direct economic saving could not be determined. Further research is required to assess the detailed economic analysis of using effective telephone consultation in healthcare. The data shown in this article is related to primary care in the UK, but its concept can be replicated by any country in Europe or rest of the world providing primary healthcare to public.
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.