ReviewQJM : monthly journal of the Association of Physicians2015
An international study of the quality of national-level guidelines on driving with medical illness.
Review in QJM : monthly journal of the Association of Physicians, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 23 citations in OpenAlex.
- Driving decisions after critical illness: Qualitative analysis of patient-provider reviews during ICU recovery clinic assessments.International journal of nursing studies · 2023Article
- Article
- Driving Cessation: What Are Family Members' Experiences and What Do They Think about Driving Simulators?Geriatrics (Basel, Switzerland) · 2022Article
- Quality assessment of clinical practice guidelines using the AGREE instrument in Japan: A time trend analysis.PloS one · 2019Article
- An International Approach to Enhancing a National Guideline on Driving and Dementia.Current psychiatry reports · 2018Review
- The new why when designing mandatory medical examinations.Occupational medicine (Oxford, England) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 17 institutions in 6 countries.
Funding
Abstract
backgroundMedical illnesses are associated with a modest increase in crash risk, although many individuals with acute or chronic conditions may remain safe to drive, or pose only temporary risks. Despite the extensive use of national guidelines about driving with medical illness, the quality of these guidelines has not been formally appraised.
aimTo systematically evaluate the quality of selected national guidelines about driving with medical illness.
designA literature search of bibliographic databases and Internet resources was conducted to identify the guidelines, each of which was formally appraised.
methodsEighteen physicians or researchers from Canada, Australia, Ireland, USA and UK appraised nine national guidelines, applying the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument.
resultsRelative strengths were found in AGREE II scores for the domains of scope and purpose, stakeholder involvement and clarity of presentation. However, all guidelines were given low ratings on rigour of development, applicability and documentation of editorial independence. Overall quality ratings ranged from 2.25 to 5.00 out of 7.00, with modifications recommended for 7 of the guidelines. Intra-class coefficients demonstrated fair to excellent appraiser agreement (0.57-0.79).
conclusionsThis study represents the first systematic evaluation of national-level guidelines for determining medical fitness to drive. There is substantive variability in the quality of these guidelines, and rigour of development was a relative weakness. There is a need for rigorous, empirically derived guidance for physicians and licensing authorities when assessing driving in the medically ill.
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.