ArticleBMC primary care2022
Specialist wait time reporting using family physicians' electronic medical record data: a mixed method study of feasibility and clinical utility.
Article in BMC primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Emergency Department Visits, Hospital Admissions, and Wait Times for Patients With Urologic Conditions.JAMA network open · 2026Article
- Unpacking the Mystery of the Ontario Healthcare System in Canada: Ukrainian Temporary Migrants and Healthcare System Navigation.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2025Article
- Ranking patients' non-clinical preferences in referring to specialist physicians in the private sector: a cross-sectional study.BMC health services research · 2025Article
- REFERRAL WAIT TIME AND ILLNESS SEVERITY OF PATIENTS WITH NONCOMMUNICABLE DISEASES REFERRED TO SPECIALIST CLINICS OF A TERTIARY HEALTHCARE CENTRE IN SOUTH-WEST NIGERIA.Annals of Ibadan postgraduate medicine · 2025Article
- Retiring trends The role of artificial intelligence in mitigating the urologist shortage in Canada.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025Review
- Article
- Orthopedic and ophthalmology surgical service forecast modelling in Manitoba: Research approach for a data linkage study.International journal of population data science · 2023Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMore than 50% of Canadian adult patients wait longer than four weeks to see a specialist after referral from primary care. Access to accurate wait time information may help primary care physicians choose the timeliest specialist to address a patient's specific needs. We conducted a mixed-methods study to assess if primary to specialist care wait times can be extracted from electronic medical records (EMR), analyzed the wait time information, and used focus groups and interviews to assess the potential clinical utility of the wait time information.
methodsTwo family practices were recruited to examine primary care physician to specialist wait times between January 2016 and December 2017, using EMR data. The primary outcome was the median wait time from physician referral to specialist appointment for each specialty service. Secondary outcomes included the physician and patient characteristics associated with wait times as well as qualitative analyses of physician interviews about the resulting wait time reports.
resultsWait time data can be extracted from the primary care EMR and converted to a report format for family physicians and specialists to review. After data cleaning, there were 7141 referrals included from 4967 unique patients. The 5 most common specialties referred to were Dermatology, Gastroenterology, Ear Nose and Throat, Obstetrics and Gynecology and Urology. Half of the patients were seen by a specialist within 42 days, 75% seen within 80 days and all patients within 760 days. There were significant differences in wait times by specialty, for younger patients, and those with urgently labelled medical situations. Overall, wait time reports were perceived by clinicians to be important since they could help family physicians decide how to triage referrals and might lead to system improvements.
conclusionsWait time information from primary to specialist care can aid in decision-making around specialist referrals, identify bottlenecks, and help with system planning. This mixed method study is a starting point to review the importance of providing wait time data for both family physicians, specialists and local health systems. Future work can be directed towards developing wait time reporting functionality and evaluating if wait time information will help increase system efficiency and/or improve provider and patient satisfaction.
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