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Table 4 Hypertension prevalence estimates (%) from administrative health records (AHRs) and electronic medical records (EMRs) in the numeric example

From: Combining population-based administrative health records and electronic medical records for disease surveillance

Data Source/Method Males (95% CI) Females (95% CI) 18–44 years (95% CI) 45–64 years (95% CI) 65+ years (95% CI)
AHR only 31.7 (31.2–32.2) 30.3 (29.8–30.8) 10.3 (10.0–10.6) 40.5 (39.9–41.1) 75.3 (74.4–76.2)
EMR only 26.0 (25.5–26.5) 24.1 (23.7–24.5) 9.0 (8.7–9.3) 33.5 (32.9–34.1) 56.4 (55.4–57.4)
OR 35.7 (35.2–36.2) 34.0 (33.5–34.5) 12.8 (12.4–13.2) 45.3 (44.7–45.9) 78.8 (78.0–79.6)
AND 22.1 (21.6–22.6) 20.9 (20.5–21.3) 6.4 (6.1–6.7) 28.7 (28.1–29.3) 53.0 (52.0–54.0)
RSSA 33.4 (32.8–33.9) 31.3 (30.6–31.8) 11.9 (11.6–12.3) 42.2 (41.6–42.8) 73.8 (72.9–74.7)
PSSA, model 1 37.1 (36.8–37.3) 34.9 (34.7–35.1) 13.9 (13.7–14.2) 46.9 (46.7–47.3) 79.7 (79.4–80.0)
PSSA, model 2 37.0 (36.8–37.2) 34.7 (34.5–35.0) 13.6 (13.4–13.9) 46.1 (45.9–46.4) 79.4 (79.1–79.7)
PSSA, model 3 36.5 (36.2–36.7) 34.5 (34.3–34.7) 12.8 (12.6–13.0) 46.3 (46.0–46.6) 79.4 (79.1–79.8)
PSSA, model 4 35.1 (34.9–35.4) 33.2 (32.9–33.5) 12.2 (11.9–12.4) 44.8 (44.5–45.1) 79.1 (78.8–79.5)
  1. CI Confidence interval, OR Rule-based OR method, AND Rule-based AND method, RSSA Rule-based sensitivity-specificity adjusted method, PSSA Probabilistic-based sensitivity-specificity adjusted method, PSSA, model 1 covariates are sex, age group, region, income quintile, Charlson comorbidity score, chronic obstructive pulmonary disease (A, E), diabetes (A, E), depression (A, E), dementia (A, E), obesity (A, E), cerebrovascular disease (A), congestive heart failure (A), coronary heart disease (A), renal disease (A), substance abuse (A); PSSA, model 2 covariates are sex, age group, region, income quintile, chronic obstructive pulmonary disease (E), diabetes (E), depression (E), dementia (E), obesity (E), cerebrovascular disease (A), congestive heart failure (A), coronary heart disease (A), renal disease (A), substance abuse (A); PSSA, model 3 covariates are sex, age group, region, income quintile, chronic obstructive pulmonary disease (E), diabetes (E), depression (E), dementia (E), obesity (E), coronary heart disease (A), renal disease (A), substance abuse (A); PSSA, model 4 covariates are sex, age group, chronic obstructive pulmonary disease (E), diabetes (E), obesity (E), coronary heart disease (A), congestive heart failure (A), substance abuse (A); A and E denote disease-specific covariates that were identified from AHRs and EMRs, respectively