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Research ArticleOriginal Research

Variation Over Time in Preventable Hospitalization Rates Across Counties

Walton Sumner and Michael D. Hagen
The Journal of the American Board of Family Medicine November 2011, 24 (6) 639-646; DOI: https://doi.org/10.3122/jabfm.2011.06.110028
Walton Sumner II
MD
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Michael D. Hagen
MD
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    Annual incidence of five prevention quality indicators (PQIs) in Kentucky counties. Each box plot represents the distribution of 120 counties' PQI rates in a given year, from 2006 to 2008. Outlier points are dots. Tenth and 90th percentiles are endpoints of the gray line. The 25th to 75th percentile range is enclosed by the box. The median is the dividing line in the box. The mean and standard error of the mean are indicated by the diamond within the box. The red external bracket ([) indicates the most densely located half of data points. The blue mark indicates the national average in 2004.

  • Figure 2.
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    Figure 2.

    Kentucky counties having prevention quality indicator (PQI) rates significantly different from the national average. High rate lines indicate the number of counties where the lower limit of the 95% CI for the local prevention quality indicator rate was higher than the 2004 national average. The low rate lines indicate the number of counties where the upper limit of the 95% CI was lower than the 2004 national average.

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    Figure 3.

    Serial prevention quality indicator (PQI) 15 (asthma) heat maps for Kentucky.

Tables

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    Table 1.

    List of Prevention Quality Indicators (PQIs)

    PQIDescriptionSpecification and Codes
    1Diabetes, short-term complications: admissions for diabetic short-term complications per 100,000 adults.All nonmaternal/nonneonatal discharges of patients aged ≥18 years with ICD-9-CM principal diagnosis codes for diabetes short-term complications (ketoacidosis, hyperosmolarity, coma) (250.10–250.33).
    Exclude cases:
    •Transferring from another institution
    •MDC 14 (pregnancy, childbirth, and puerperium)
    •MDC 15 (newborn and other neonates)
    3Diabetes, long-term complications: admissions for diabetic long-term complications per 100,000 adults.Discharges of patients aged ≥18 years with ICD-9-CM principal diagnosis codes for long-term complications of diabetes (renal, eye, neurological, circulatory, or complications not otherwise specified) (250.40–250.93).
    Exclude cases:
    •Transferring from another institution
    •MDC 14 (pregnancy, childbirth, and puerperium)
    •MDC 15 (newborn and other neonates)
    14Uncontrolled diabetes: admissions for uncontrolled diabetes per 100,000 adults.All nonmaternal discharges of patients aged ≥18 years with ICD-9-CM principal diagnosis codes for uncontrolled diabetes without mention of a short-term or long-term complication (250.02, 250.03).
    Exclude cases:
    •Transferring from another institution
    •MDC 14 (pregnancy, childbirth, and puerperium)
    •MDC 15 (newborn and other neonates)
    15Adult asthma: admissions for adult asthma per 100,000 adults.All nonmaternal discharges of patients aged ≥18 years with ICD-9-CM principal diagnosis codes for asthma (493.00–493.22, 493.80–493.92).
    Exclude cases:
    •Transferring from another institution
    •MDC 14 (pregnancy, childbirth, and puerperium)
    •MDC15 (newborn and other neonates)
    •With any diagnosis code of cystic fibrosis and anomalies of the respiratory system
    16Lower extremity amputations among patients with diabetes: admissions for lower-extremity amputation in patients with diabetes per 100,000 adults.All nonmaternal discharges of patients aged ≥18 years with ICD-9-CM procedure codes for lower-extremity amputation in any field (8410–8419) and diagnosis code for diabetes in any field (250.00–250.93).
    Exclude cases:
    •Transferring from another institution
    •MDC 14 (pregnancy, childbirth, and puerperium)
    •MDC 15 (newborn and other neonates)
    •With trauma diagnosis code in any field (895.0, 895.1,896.0–896.3, 897.0–897.7)
    • ICD-9-CM, International Classification of Diseases, 9th revision, Clinical Modification; MDC, major diagnostic category.

    • View popup
    Table 2.

    Spearman's Rho Values for County-level Prevention Quality Indicators Rates Between Prevention Quality Indicator Measures and Across Time

    PQI200620072008
    1314151613141516131415
    30.30
    2006140.220.53*
    150.190.49**0.63***
    160.160.36*0.140.15
    10.54***0.220.170.190.17
    30.160.55***0.46**0.42*0.280.25
    2007140.110.46**0.72***0.56***0.160.120.37*
    150.120.41*0.53***0.77***0.210.240.41*0.51**
    160.120.240.150.050.250.070.49**0.040.05
    10.37*0.260.200.100.170.50**0.160.030.180.16
    30.140.49*0.38*0.330.180.310.52**0.38*0.270.100.25
    2008140.060.43*0.66***0.55***0.180.140.43*0.65***0.49**0.080.210.38*
    150.190.40*0.52**0.77***0.090.220.46**0.47**0.77***0.060.220.37*0.56***
    160.11−0.050.110.090.230.170.110.150.210.090.130.140.060.10
    • Each cell shows Spearman's rho for the correlation between the prevention quality indicators (PQIs) and years of measurement indicated by the row and column, using each of the 120 Kentucky counties as an observation. Cells with underlines indicate the same PQI correlated with itself in different years. Cells with asterisks indicate a P < .0001. The asterisks (from 1 to 3) indicate tertiles of increasingly strong correlation with increasing darkness.

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The Journal of the American Board of Family     Medicine: 24 (6)
The Journal of the American Board of Family Medicine
Vol. 24, Issue 6
November-December 2011
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Variation Over Time in Preventable Hospitalization Rates Across Counties
Walton Sumner, Michael D. Hagen
The Journal of the American Board of Family Medicine Nov 2011, 24 (6) 639-646; DOI: 10.3122/jabfm.2011.06.110028

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Variation Over Time in Preventable Hospitalization Rates Across Counties
Walton Sumner, Michael D. Hagen
The Journal of the American Board of Family Medicine Nov 2011, 24 (6) 639-646; DOI: 10.3122/jabfm.2011.06.110028
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