Variables | Description | Aday and Andersen’s Framework for the study of access (53) |
---|---|---|
Number of visits to family physicians | Number of visits to family physicians in a 12-month period. | Measure of realized access and utilization of primary care |
Discrete visits counted as ≥1 billing code, per date, family physician, and primary care location | ||
Continuous variable | ||
Concentration of Care Index – family physician level | \(COCI(FP)=\frac{\sum_{i=1}^k{n}_i^2-N}{N\left(N-1\right)}\) k = total number of family physicians visited N = total number of visits during the year ni = number of visits to physician i | A proxy for relational continuity of care |
Different family physicians were identified using RAMQ unique physician identifier, physician speciality and type of organization to select primary care locations. | ||
Continuous variable, ranges from 0 (all visits to different providers) to 1 (all visits to the same provider) | ||
Concentration of Care Index – practice level | \(COCI(P)=\frac{\sum_{i=1}^k{n}_i^2-N}{N\left(N-1\right)}\) k = total number of practices visited N = total number of visits during the year ni = number of visits to practice i | A proxy for continuity of care with the practice |
Different practices were identified using RAMQ unique identifier for delivery organization, unique physician identifier, physician speciality and type of organization to select primary care locations. Non-physician visits are not available in RAMQ data. | ||
Continuous variable, ranges from 0 (all visits to different practices) to 1 (all visits to the same practice) | ||
Pre/post attachment periods | 12-month periods relative to date of attachment (T0) | Attachment as a potential enabling determinant |
Categorical variable with 4 periods: 0) T0–2 years (731 to 366 days before attachment) 1) T0–1 year (365 to 1 day before attachment) 2) T0 + 1 year (Attachment date to 365 days after attachment) 3) T0 + 2 years (366 to 731 days after attachment) | ||
Age | Age at the date of attachment, in years. | Predisposing determinant |
Categorical variable: 1–5, 6–17, 18–34, 35–54, 55–69, ≥70 years old | ||
Sex | Sex as indicated in patient information in billing data | Predisposing determinant |
Dichotomous variable: male, female | ||
Medical vulnerability | Centralized waiting lists identify a patient as medically vulnerable if they have at least one health condition among a list of 19 (e.g., diabetes, mental health problem, hypertension) or are ≥70 years old [59]. Vulnerability is assessed based on self-reported patient data upon registration, a phone evaluation by a nurse (if needed), and is verified by the family physician upon the first visit. | Need determinant |
Determined using the billing codes for attaching vulnerable/non-vulnerable patients through centralized waiting lists (non-vulnerable: 19952; vulnerable: 19951 and 19,956). | ||
Dichotomous variable: vulnerable/non-vulnerable | ||
Charlson Comorbidity Index | Comorbidity index based on CIM-9 diagnostic codes in billing data and adjusted for age [60, 61]. Because diagnostic codes may be underreported for unattached patients facing barriers to accessing care, index was measured for each 12-month period (relative to attachment date) and the maximum value across all periods was selected for each patient. | Need determinant |
Categorical variable: low (0), medium (1–3), and high (≥4) comorbidity. | ||
Categories for this study were determined upon reviewing score distribution in the included population and bivariate analyses. | ||
Remoteness of health region | Type of health region where patient resides. Remoteness is determined by the Ministry of Health and Social Services [62], based on population from census data, presence of large centers and influence of universities. | Enabling determinant |
Categorical variable: university (urban), peripheral, intermediary or remote |