ABSTRACT
BACKGROUND: Computerized algorithms known as symptom checkers aim to help patients decide what to do should they have a new medical concern. However, despite widespread implementation, most studies on symptom checkers have involved simulated patients. Only limited evidence currently exists about symptom checker safety or accuracy when used by real patients. We developed a new prototype symptom checker and assessed its safety and accuracy in a prospective cohort of patients presenting to primary care and emergency departments with new medical concerns. METHOD: A prospective cohort study was done to assess the prototype's performance. The cohort consisted of adult patients (≥16 years old) who presented to hospital emergency departments and family physician clinics. Primary outcomes were safety and accuracy of triage recommendations to seek hospital care, seek primary care, or manage symptoms at home. RESULTS: Data from 281 hospital patients and 300 clinic patients were collected and analyzed. Sensitivity to emergencies was 100% (10/10 encounters). Sensitivity to urgencies was 90% (73/81) and 97% (34/35) for hospital and primary care patients, respectively. The prototype was significantly more accurate than patients at triage (73% versus 58%, p<0.01). Compliance with triage recommendations in this cohort using this iteration of the symptom checker would have reduced hospital visits by 55% but cause potential harm in 2-3% from delay in care. INTERPRETATION: The prototype symptom checker was superior to patients in deciding the most appropriate treatment setting for medical issues. This symptom checker could reduce a significant number of unnecessary hospital visits, with accuracy and safety outcomes comparable to existing data on telephone triage.
Subject(s)
Triage/methods , Adolescent , Adult , Aged , Aged, 80 and over , Algorithms , Canada , Cohort Studies , Computer Simulation , Data Collection , Female , Hospitals , Humans , Male , Middle Aged , Primary Health Care , Prospective Studies , Quality of Health Care , Self CareABSTRACT
OBJECTIVE: To determine patient satisfaction with care provided at a family medicine teaching clinic. DESIGN: Mailed survey. SETTING: Victoria Family Medical Centre in London, Ont. PARTICIPANTS: Stratified random sample of 600 regular patients of the clinic aged 18 years or older; 301 responses were received. MAIN OUTCOME MEASURES: Patient satisfaction with overall care, wait times for appointments, contact with physicians, and associated demographic factors. Logistic regression analysis and analysis were used to determine the significance of factors associated with satisfaction. RESULTS: The response rate was 50%. Overall, 88% of respondents were fairly, very, or completely satisfied with care. Older patients tended to be more satisfied. Patients who were less satisfied had longer wait times for appointments (P < .001) and reduced continuity with specific doctors (P = .004). More satisfied patients also felt connected through other members of the health care team. CONCLUSION: Patients were generally satisfied with the care provided at the family medicine teaching clinic. Older patients tended to be more satisfied than younger patients. Points of dissatisfaction were related to wait times for appointments and continuity with patients' usual doctors. These findings support the adoption of practices that reduce wait times and facilitate continuity with patients' usual doctors and other regular members of the health care team.
