Article Figures & Data
Tables
Primary Care Attributes Score Characteristic 0–0.5 (n = 13,071) 0.6–0.75 (n = 6,431) 0.8 (n = 19,527) 1.0 (n = 13,212) Total (N = 52,241) Sample distributiona 22.9 (0.4) 12.8 (0.3) 37.5 (0.4) 26.8 (0.5) – Categorical characteristicsa Female 42.2 (0.4) 55.5 (0.5) 56.8 (0.2) 54.4 (0.3) 52.4 (0.1) Race/ethnicity White 58.5 (0.8) 74.9 (0.7) 74.6 (0.6) 73.6 (0.7) 70.4 (0.6) Hispanic 21.2 (0.8) 8.7 (0.5) 9.5 (0.4) 9.6 (0.4) 12.3 (0.5) Black 12.7 (0.5) 9.7 (0.5) 10.2 (0.4) 10.5 (0.4) 10.8 (0.4) Other 7.6 (0.3) 6.8 (0.4) 5.7 (0.3) 6.2 (0.3) 6.4 (0.2) Income, % of FPL <100% 14.9 (0.4) 10.4 (0.4) 9.8 (0.3) 8.6 (0.3) 10.8 (0.2) 100% to <125% 5.5 (0.2) 4.1 (0.3) 3.8 (0.1) 3.6 (0.2) 4.2 (0.1) 125% to <200% 16.8 (0.4) 13.0 (0.5) 12.8 (0.3) 11.3 (0.3) 13.4 (0.2) 200% to <400% 31.9 (0.4) 30.8 (0.6) 30.9 (0.4) 30.9 (0.5) 31.1 (0.3) ≥400% 30.9 (0.6) 41.7 (0.7) 42.7 (0.5) 45.6 (0.7) 40.4 (0.4) Education No high school 7.8 (0.3) 6.3 (0.3) 6.3 (0.2) 4.9 (0.2) 6.3 (0.2) Some high school 14.6 (0.3) 11.7 (0.4) 10.9 (0.2) 10.4 (0.3) 11.8 (0.2) High school graduate 32.8 (0.5) 33.6 (0.6) 32.2 (0.4) 32.1 (0.5) 32.5 (0.3) Some college 22.0 (0.4) 22.8 (0.5) 23.9 (0.3) 23.7 (0.3) 23.2 (0.2) College graduate 22.8 (0.6) 25.7 (0.7) 26.7 (0.5) 28.9 (0.6) 26.2 (0.4) Urban residence 84.5 (0.8) 80.0 (1.1) 79.0 (1.0) 85.9 (0.7) 82.3 (0.7) US Census region Northeast 12.2 (0.6) 18.3 (1.1) 17.5 (0.7) 26.1 (1.1) 18.6 (0.7) Midwest 19.8 (0.9) 23.2 (1.1) 22.1 (0.8) 25.7 (1.0) 22.7 (0.7) South 41.6 (1.4) 36.4 (1.3) 39.5 (1.1) 27.2 (1.0) 36.3 (1.0) West 26.4 (1.3) 22.1 (1.3) 20.9 (1.0) 21.0 (1.0) 22.4 (1.0) Health insurance Private 58.1 (0.6) 73.6 (0.6) 75.3 (0.5) 79.0 (0.4) 71.9 (0.4) Public 9.7 (0.3) 18.4 (0.6) 16.6 (0.4) 13.3 (0.4) 14.2 (0.3) None 32.3 (0.6) 8.0 (0.4) 8.1 (0.2) 7.6 (0.2) 13.9 (0.2) No. of chronic health conditions 0 72.9 (0.4) 43.8 (0.7) 43.3 (0.5) 51.1 (0.5) 52.7 (0.3) 1 17.8 (0.3) 28.3 (0.5) 27.0 (0.3) 26.2 (0.3) 24.7 (0.2) 2 6.4 (0.2) 17.0 (0.4) 16.9 (0.3) 13.6 (0.3) 13.4 (0.2) 3 1.9 (0.1) 6.8 (0.3) 7.6 (0.2) 5.6 (0.2) 5.6 (0.1) ≥4 1.0 (0.1) 4.1 (0.2) 5.1 (0.1) 3.5 (0.2) 3.6 (0.1) Self-rated health Excellent 30.5 (0.5) 23.5 (0.6) 21.5 (0.4) 24.8 (0.4) 24.8 (0.3) Very good 34.1 (0.4) 33.9 (0.6) 33.6 (0.4) 35.9 (0.5) 34.4 (0.3) Good 26.4 (0.4) 27.8 (0.5) 28.7 (0.3) 26.7 (0.4) 27.5 (0.2) Fair 7.3 (0.2) 11.4 (0.4) 11.9 (0.2) 9.5 (0.3) 10.1 (0.2) Poor 1.7 (0.1) 3.4 (0.2) 4.3 (0.1) 3.0 (0.1) 3.2 (0.1) Smoker 27.6 (0.5) 20.0 (0.5) 19.3 (0.3) 19.7 (0.4) 21.5 (0.2) BMI, kg/m2 <20 6.5 (0.2) 5.6 (0.3) 5.3 (0.1) 5.6 (0.2) 5.7 (0.1) 20 to <25 35.4 (0.4) 32.3 (0.6) 30.7 (0.4) 32.1 (0.4) 32.4 (0.3) 25 to <30 35.5 (0.4) 35.5 (0.5) 35.3 (0.3) 35.2 (0.4) 35.4 (0.2) ≥30 22.6 (0.4) 26.6 (0.5) 28.6 (0.3) 27.0 (0.4) 26.5 (0.2) Continuous characteristics Age, mean (SD), y 38.8 (0.2) 50.6 (0.3) 50.3 (0.2) 46.7 (0.2) 46.7 (0.2) Health status, mean (SD), score PCS-12 52.0 (0.2) 48.6 (0.2) 47.6 (0.1) 49.3 (0.1) 49.2 (0.1) MCS-12 50.9 (0.1) 50.7 (0.2) 50.5 (0.1) 51.0 (0.1) 50.8 (0.1) Total annual health care expenditures, mean (SD), $ 1,625 (56) 3,935 (130) 4,624 (88) 3,777 (98) 3,621 (53) -
BMI = body mass index; FPL = federal poverty level; MCS-12 = Mental Component Summary score of the 12-Item Short Form Health Survey; PCS-12 = Physical Component Summary score of the 12-Item Short Form Health Survey.
-
↵a Values are population-weighted percentages (SE) except where indicated.
-
- Table 2
Adjusted Mortality Hazard by Primary Care Attributes Score and Other Respondent Characteristics (N = 52,241)
Characteristic Adjusted Hazard Ratio (95% CI) P Value Primary care attributes score (range, 0–1.0) 0.79 (0.64–0.98) .03 Age, per 10-year increment 1.08 (1.07–1.08) <.001 Female 0.54 (0.47–0.62) <.001 Income level (reference <100% of federal poverty level) 100%–124% 1.07 (0.80–1.43) .63 125%–199% 1.05 (0.86–1.29) .63 200%–399% 1.01 (0.84–1.21) .92 ≥400% 0.90 (0.73–1.11) .32 Education level (reference = no high school) Some high school 1.06 (0.88–1.27) .55 High school graduate 0.95 (0.81–1.11) .50 Some college 0.94 (0.75–1.17) .56 College graduate 0.85 (0.68–1.06) .14 Race/ethnicity (reference = white) Hispanic 0.64 (0.52–0.79) <.001 Black 1.23 (1.02–1.47) .03 Other 0.94 (0.67–1.32) .73 Urban residence 0.92 (0.80–1.06) .24 US Census geographic region (reference = Northeast) Midwest 0.94 (0.78–1.14) .53 South 1.06 (0.89–1.25) .53 West 1.01 (0.84–1.22) .88 Health status PCS-12 0.99 (0.98–0.99) .001 MCS-12 0.97 (0.97–0.98) <.001 No. of chronic health conditions 1.05 (1.01–1.10) .02 Self-rated health (reference = excellent) Very good 0.95 (0.74–1.23) .69 Good 1.01 (0.79–1.30) .92 Fair 1.31 (0.99–1.74) .06 Poor 1.79 (1.29–2.49) .001 Total annual health care expenditures, per $1,000 1.01 (1.01–1.02) <.001 Health insurance (reference = private) Public 1.11 (0.96–1.28) .16 None 1.22 (0.87–1.70) .25 -
MCS-12 = Mental Component Summary score of the 12-Item Short Form Health Survey; PCS-12 = Physical Component Summary score of the 12-Item Short Form Health Survey.
-
Note: analyses also adjusted for Medical Expenditure Panel Survey panel year.
-
Primary Care Attributes Score Adjusted Hazard Ratio (95% CI) P Value 0–0.5 (reference) 1.00 – 0.6–0.75 0.90 (0.72–1.13) .36 0.8 0.83 (0.68–1.02) .07 1.0 0.81 (0.67–0.99) .04 -
Note: Analyses adjusted for age, sex, race/ethnicity, Census region, education level, household income level, health insurance status, mental and physical health status, global self-rated health, health conditions, health expenditures, and Medical Expenditure Panel Survey panel year.
-
Additional Files
The Article in Brief
Anthony Jerant, and colleagues
Background Are attributes of primary care related to patient mortality? This study examines whether patient-reported access to the primary care attributes of comprehensiveness, patient-centeredness, and enhanced access to care is associated with lower individual mortality risk.
What This Study Found Patients who report greater access to comprehensiveness, patient-centeredness, and enhanced access to care have lower mortality, a finding which strongly supports the ongoing patient-centered medical home health care redesign efforts in the United States. Based on nationally representative data on 52,241 patients aged 18 to 90 years, patients' primary care attribute scores (which measure the degree to which patients' usual source of care have the 3 primary care attributes) were inversely associated with mortality.
Implications
- Ongoing health care and primary care practice redesign efforts in the United States may have the potential to reduce preventable deaths, according to the study's findings.
- These findings complement and expand upon those of prior studies, which found lower mortality rates in geographical areas with more primary care clinicians. By comparison, this study suggests a mortality benefit for individual patients resulting from greater access to particular primary care attributes.