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Research ArticleOriginal Research

A Model for Measuring Ambulatory Access to Care Recovery after Disasters

Tiffany A. Radcliff, Karen Chu, Claudia Der-Martirosian and Aram Dobalian
The Journal of the American Board of Family Medicine March 2018, 31 (2) 252-259; DOI: https://doi.org/10.3122/jabfm.2018.02.170219
Tiffany A. Radcliff
From the Veterans Emergency Management Evaluation Center (VEMEC), US Department of Veterans Affairs, North Hills, CA (TAR, KC, CD-M, AD); the Department of Health Policy and Management, School of Public Health, Texas A&M University, College Station, TX (TAR); and the Division of Health Systems Management and Policy, School of Public Health, University of Memphis, Memphis, TN (AD).
PhD
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Karen Chu
From the Veterans Emergency Management Evaluation Center (VEMEC), US Department of Veterans Affairs, North Hills, CA (TAR, KC, CD-M, AD); the Department of Health Policy and Management, School of Public Health, Texas A&M University, College Station, TX (TAR); and the Division of Health Systems Management and Policy, School of Public Health, University of Memphis, Memphis, TN (AD).
MS
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Claudia Der-Martirosian
From the Veterans Emergency Management Evaluation Center (VEMEC), US Department of Veterans Affairs, North Hills, CA (TAR, KC, CD-M, AD); the Department of Health Policy and Management, School of Public Health, Texas A&M University, College Station, TX (TAR); and the Division of Health Systems Management and Policy, School of Public Health, University of Memphis, Memphis, TN (AD).
PhD
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Aram Dobalian
From the Veterans Emergency Management Evaluation Center (VEMEC), US Department of Veterans Affairs, North Hills, CA (TAR, KC, CD-M, AD); the Department of Health Policy and Management, School of Public Health, Texas A&M University, College Station, TX (TAR); and the Division of Health Systems Management and Policy, School of Public Health, University of Memphis, Memphis, TN (AD).
PhD, JD, MPH
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Article Figures & Data

Tables

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    Table 1.

    Sample Sizes and Distribution of Veterans Affairs (VA) Appointments around Disaster Impact (Week 0)

    Unaffected AreasAffected AreasTotal (n)
    Unique patients (weeks −12 to 12)197,724 (78.0)56,790 (22.0)254,514
    Appointments
        Total (weeks −12 to 12)897,405 (74.8)302,490 (25.2)1,199,895
        Before the disaster (weeks −12 to −3)358,479 (74.6)122,205 (25.4)480,684
        During the disaster (weeks −2 to 1)143,450 (74.6)48,926 (25.4)192,376
        After the disaster (weeks 2–12)395,476 (75.1)131,359 (24.9)526,835
    Appointment type
        Primary care361,222 (40.3)128,535 (42.5)489,757
        Mental health178,782 (19.9)65,966 (21.8)244,748
        Non-MD providers192,708 (21.5)38,579 (12.8)231,287
        Specialty care137,853 (15.4)56,295 (18.6)194,148
        Telehealth26,840 (3.0)13,115 (4.3)39,955
    • Data are no. (%) unless otherwise indicated. For this analysis, affected areas included 1 VA medical center plus 4 distinct outpatient clinic locations, whereas unaffected areas included 9 VA medical centers and 32 distinct outpatient clinic locations.

    • View popup
    Table 2.

    Demographic Characteristics among Those with Scheduled Veterans Affairs Appointments around a Natural Disaster (Weeks −12 to 12, with Storm Landfall during Week 0)

    Unaffected Areas (n = 197,724)Affected Areas (n = 56,790)Statistically Significant*
    Age (years), week 0Yes
        <458.810.9
        45–6446.148.5
        ≥6545.140.6
    SexYes
        Male94.593.0
        Female4.76.1
        Missing/unclear0.80.8
    Race/ethnicityYes
        White/non-Hispanic66.154.2
        Hispanic0.21.5
        African American12.619.7
        Other1.70.9
        Missing19.423.7
    Service connectionYes
        <50%72.576.1
        >50%27.523.8
    Dual Medicaid0.10.1No
    Dual Medicare49.542.4Yes
    Missed appointment in past 12 months33.943.8Yes
    Veterans Affairs inpatient stay in past 12 months9.711.2Yes
    • Data are percentages. For this analysis, affected areas included 1 Veterans Affairs medical center (VAMC) plus 4 distinct outpatient clinic locations, whereas unaffected areas included 9 VAMCs and 32 distinct outpatient clinic locations.

    • ↵* P < .001, χ2 or 2-sided t test.

    • View popup
    Table 3.

    Sample Ambulatory Care Recovery Metrics, Calculated for the Illustrative Example for the Affected Veterans Affairs Medical Center Location

    Business Days to Completed Appointment If Cancelled by the Clinic (median)Recovery*Change in Days to Completed Appointments† (%)
    Weeks −12 to −3 (1)Weeks −2 to 1 (2)Weeks 2–6 (3)Weeks 7–12 (4)(2) vs (1)(3) vs (1)(4) vs (1)(2) vs (1)(3) vs (1)(4) vs (1)
    Primary care45353738−10−8−7−22−18−16
    Mental health2330252772430917
    Non-MD providers36313734−51−2−143−6
    Specialty care38374742−194-32411
    Telehealth13171519426311546
    • ↵* Difference in median business days to completed appointments (vs time frame before the disaster).

    • ↵† Versus the time frame before the disaster.

    • View popup
    Table 4.

    Summary of Resiliency Findings for Veterans Affairs Clinics Affected by the Natural Disaster (Week 0)

    Difference in Completed Appointments vs Prior Week (%)
    −5 (vs −6)−4 (vs −5)−3 (vs −2)−2 (vs −1)−1 (vs −2)0* (vs −1)1 (vs 0)2 (vs 1)3 (vs 2)4 (vs 3)5 (vs 4)
    Unaffected areas01−1−56−210102
    All affected areas8−33−7−7−172551−12
    VAMC9−42−5−8−132231−22
    Clinic B502−21−4−3750164−42
    Clinic C−2−13−2217−26273−83−4
    Clinic D19−1113−5−28−323618−111
    Clinic E1224−9−37384−1−69
    • The table includes differences in the percentage of completed appointments compared with the prior week for all appointment types in the analytic sample (primary care, specialty care, mental health, telehealth, and other health professions). Italics indicates a decrease by >5%; underlining indicates an increase of >5%; boldface indicates a change (positive or negative) of >10% from the prior week.

    • ↵* Landfall.

    • VAMC, Veterans Affairs medical center.

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The Journal of the American Board of Family     Medicine: 31 (2)
The Journal of the American Board of Family Medicine
Vol. 31, Issue 2
March-April 2018
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A Model for Measuring Ambulatory Access to Care Recovery after Disasters
Tiffany A. Radcliff, Karen Chu, Claudia Der-Martirosian, Aram Dobalian
The Journal of the American Board of Family Medicine Mar 2018, 31 (2) 252-259; DOI: 10.3122/jabfm.2018.02.170219

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A Model for Measuring Ambulatory Access to Care Recovery after Disasters
Tiffany A. Radcliff, Karen Chu, Claudia Der-Martirosian, Aram Dobalian
The Journal of the American Board of Family Medicine Mar 2018, 31 (2) 252-259; DOI: 10.3122/jabfm.2018.02.170219
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