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Compiled by Ed Bartholomew, Research Manager July, 2015 Hospital-Owned Home Health Services: Impacting Hospital Quality, Outcomes and Patient Satisfaction TRANSFORMING HEALTH CARE THROUGH RESEARCH AND EDUCATION
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Page 1: AHA_HH_Scores2

Compiled by Ed Bartholomew, Research Manager

July, 2015

Hospital-Owned Home Health Services: Impacting Hospital Quality, Outcomes and Patient Satisfaction

TRANSFORMING HEALTH CARE THROUGH RESEARCH AND EDUCATION

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• Compare general medical and surgical hospitals with home health services to hospitals without this service.

• Correlate the presence of home health services with hospital size, type, region and other characteristics.

• Create hospital-level and system-level composite performance measures and study the impact of the presence of home health services.

• Examine Medicare cost for the two cohorts of system-hospitals.

• Compare performance at the system level.

Objectives

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Methodology

• Populations studied:• General medical and surgical hospitals with and

without Home Health• System-based hospitals with and without Home

Health• Systems with and without Home Health

• Inclusion Criteria• AHA Registered general medical and surgical

hospitals• Home Health present/not present as indicated by

the 2013 AHA survey.• System-level inclusion required at least 2 hospitals

per system

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Data

• 2013 AHA Annual Survey Data• CMS Hospital Compare Data

• 2013 Q3 – 2014 Q2• Dartmouth Atlas of Healthcare

• 2012 Medicare spending

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Composite Score Definition: Constituent Metrics

• Process Quality Measures• CMS Hospital Compare• Six measures

• AMI, PN, HF, SCI, VTE, ED, Stroke, OP• Complications/Infections Measures

• HAI 1 – 6, PSI 90, Hip/Knee Complications

• Risk-Adjusted Readmissions • (30-day, Hospital-Wide, All-Cause,

Unplanned)• Risk-Adjusted Mortality

• 30-day mortality for AMI, PN, HF• PSI4 - Death among surgical inpatients

with serious, treatable complications.

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Composite Score (cont.)

• HCAHPS • Hospital Consumer Assessment of Healthcare

Providers and Systems• Hospital Level:

• Mean of the % selecting the highest rating from each survey item.

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Composite Score: Definition

• Overall Composite Score• Composed of the mean of the process,

complications/infections, patient satisfaction high score, readmissions avoidance and mortality avoidance scores.

• Increasingly positive values indicate better performance. Therefore, some scores need to be reversed e.g.

• Inverse Readmission Rate =1-(% readmitted)• Inverse Mortality Rate =1-(% mortality)

• Overall Clinical Score• Composed of the mean of the process,

complications/infections, readmissions avoidance and mortality avoidance scores. Excludes HCAHPS.

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System-Level Measures

System-Level: Weighted average is determined by dividing the Hospital Compare denominators for each system-hospital by the sum of all denominators for a given system.

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Hospital Population

Source: 2013 AHA Survey of Hospitals.

Fifty-one percent of the AHA registered hospitals in the U.S. indicate that they provide home health services. Thirty-eight percent of hospitals providing home health are non-profit hospitals. For-profit hospitals are less likely to provide home health themselves, although they may refer to private home health agencies.

  Hospitals

Home Health 2363 51.0%

No Home Health 2273 49.0%

Total 4636 100.0%

  All Hospitals Home Health  No Home Health

Non-Profit 58.8% 37.7% 21.1%

For-Profit 15.2% 3.2% 12.0%

Non-Federal Govt. 21.7% 8.9% 12.8%

Other 4.3% 1.2% 3.2%

total 100.0% 51.0% 49.1%

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Hospital Characteristics

Hospitals with home health services are more prevalent in metropolitan areas, but only about half of the metro hospitals provide home health. Overall, greater percentages of home-health hospitals are in the Midwest and West. Both the West and South have a greater balance of non-home-health hospitals compared to home-health hospitals. Both the Midwest and Northeast have home health hospitals at a rate of about 1.5 times the number of non-home health. Hospitals that have greater than 100 beds make up a greater proportion of organizations with home health relative to those without this service.

  All Hospitals Home Health No Home HealthRural 25.1% 10.3% 14.8%Micro 18.5% 9.6% 8.9%Division 13.7% 7.7% 6.0%Metro 42.7% 23.4% 19.4%

  All Hospitals Home Health No Home HealthWest 33.2% 14.6% 18.6%Midwest 29.6% 18.3% 11.3%Northeast 12.5% 7.5% 4.9%South 23.6% 10.4% 13.2%

  All Hospitals Home Health No Home HealthLess than 100 49.1% 21.3% 27.8%100-299 33.6% 17.6% 15.9%300-499 11.2% 7.4% 3.8%500+ 6.2% 4.6% 1.5%

Source: 2013 AHA Survey of Hospitals.

Bartholomew, Edward
Do teaching hospitals have a greater focus on training physicians than on patient case management?
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Hospital Characteristics: Safety Net

  All Hospitals Home Health No Home Health

Safety Net 33.6% 14.7% 18.9%

Not Safety Net 66.4% 36.3% 30.1%

A greater share of the hospitals that were identified as safety net hospitals did not have home health services. In contrast, a larger percentage of non-safety-net hospitals does provide home health services.

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Hospital Size and Home Health

Less than 100 100-299 300-499 500+0%

5%

10%

15%

20%

25%

30%

Home Health No Home Health

The proportion of hospitals with home health services in-verts for larger hospitals.

Hospitals in the larger bed-size groups are more likely to perform home health than those in the smallest bed-size group.

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Home Health Service by Hospital Type

A higher percentage of non-profit hospitals provide home health services than any of the other hospital types. This contrasts with those in the for-profit or non-federal government categories.

Non-Profit For-Profit Non-Federal Govt. Other0%

5%

10%

15%

20%

25%

30%

35%

40%

Home Health  No Home Health

Non-Profit hospitals have the highest proportion of home health services.

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Principal Findings: All Hospitals

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Hospital Characteristics and Composite Measures

These multivariate analyses of selected hospital characteristics with respect to overall and clinical composite scores, reveal a number of statistically significant relationships. All variables have a significant predictive relationship with the overall composite scores. Setting and Home health status did not correlate with the clinical composite scores with statistical significance.

The R squared value suggests that the model for the overall composite score has some capability to predict changes in the score. The clinical composite model (which excludes the patient satisfaction measure) has a lot less capability to predict a composite outcome.

Overall Composite Score

Independent Vars. DF Pr > F

Setting (Rural, Urban) 3 <.0001

Bed Size 3 <.0001

Hospital Type 3 <.0001

Region 3 <.0001

Home Health (Y/N) 1 0.0245

N=3210 R square = .1026

Clinical Composite Score

Independent Vars. DF Pr > FSetting (Rural, Urban) 3 0.0757Bed Size 3 <.0001Hospital Type 3 <.0001Region 3 <.0001Home Health (Y/N) 1 0.3096N=3237 R square = .0529

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Overall Score and Home Health

Institutions in the upper two quartiles of performance are comprised of a larger proportion of home health hospitals. The lowest quartile contains a greater percentage of hospitals with no home health.

1 2 3 40

100

200

300

400

500

600

485 479448

426

318 323355

376

Home Health No Home Health

Overall Composite Score Quartile

Hosp

itals

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Overall Score and Home Health

0

10

20

30

40

50

60

70

80

90

f(x) = − 0.00741097827729298 x + 74.7873693975433R² = 0.930809883321492f(x) = − 0.0106090027450828 x + 74.6864122490935R² = 0.926737934025577

Home Health Linear (Home Health) No Home Health Linear (No Home Health)

Hospitals sorted in descending order by overall composite score.

The negative slope of the trend line for the composite score of hospitals without home health services is greater than the slope of the trend line for home health hospitals (.011 vs .007). This suggests a tendency for the cohort without home health services to perform more poorly on the overall outcome of care.

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Clinical Score and Home Health

When the patient satisfaction score is removed to calculate the clinical composite, there is a greater proportion of hospitals with home health in every quartile. The distribution of hospitals without home health are nearly the same in each quartile, as well. Adding patient satisfaction scores tends to level the distribution of hospitals scores evenly across the performance levels regardless of the home health status of the organization..

1 2 3 40

100

200

300

400

500

600

463 477460 445

356328

347 361

Home Health No Home Health

Clinical Composite Score Quartile

Hosp

itals

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All Hospitals: Descriptive Statistics

The overall composite, HCAHPS, Process, Complications and Readmission rates displayed statistical significance. Differences between the two cohorts were small, with the exception of a modest difference for HCAHPS. Seven t-tests were performed on this dataset and the Sidak correction has been applied (alpha = 1-(1-.05)^(1/7)=0.0073) as well as the Bonferroni correction.

  Home Health No Home Health P value*

Overall Composite 67.97 67.4 0.0001

Clinical Composite 70.63 70.43 0.2143

Readmissions 15.58 15.7 0.0007

Mortality 12.35 12.41 0.2191

Process quality 96.67 96.03 0.0001

Complications/Infections 72.69 73.9 0.0022

HCAHPS (High Score) 72.08 70.89 <.0001

* Bonerroni and Sidak corrections applied

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Overall Score by Hospital Type

A chi-square analysis revealed material differences in the performance of hospitals based on hospital type. Non-profit hospitals had a larger representation in the two highest performing groups, compared to for-profit and non-federal government organizations. Conversely, For-Profit hospitals have a larger proportion in the two lower quartiles in comparison to their distribution in the top two quartiles.

Score categories based on quintiles (25th, 50th, 75th, 99th)

1 2 3 40%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%18%

17%

15% 15%

3%

5%6% 5%

4% 4%4% 5%

0.1% 0.1% 0.2% 0.2%

Overall Score: Quartiles

Non-Profit For-Profit Non-Federal Govt OTHER

Hosp

itals

Bartholomew, Edward
Add the quintile values
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Principal Findings: System-Based Hospitals

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System-Based Hospitals

Fifty-five percent of the system hospitals indicate that they provide home health services, compared to 51% in the all-hospital cohort. The majority of these system hospitals with home health are non-profits (44%).

  SYSTEM HOSPITALS

Home Health 1591 45%

No Home Health 1276 55%

Total 2867 100%

  Total Home Health No Home Health

Non-Profit 63% 44% 19%

For-Profit 21% 5% 16%

Non-Federal Govt. 9% 4% 5%

Other 7% 2% 5%

Total 100% 55% 45%

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System Hospitals: Characteristics

Home health system hospitals are more prevalent in metropolitan areas. There are also regional differences - a greater number of home-health system hospitals are located in the Midwest. The largest share of Non-home-health system-hospitals is in the West. Equivalent numbers of small hospitals either provide or do not provide this care. Twice as many larger hospitals provide home health services than do not.

Setting Total Home Health No Home HealthRural 17% 8% 9%Micro 17% 8% 9%Division 16% 10% 6%Metro 50% 29% 21%Total 100% 55% 45%Region Total Home Health No Home HealthWest 32% 15% 17%Midwest 28% 19% 9%Northeast 12% 8% 4%South 28% 13% 15%Total 100% 55% 45%Beds Total Home Health No Home Health< 100 41% 20% 21%100-299 38% 21% 17%300-499 14% 9% 5%500+ 7% 5% 2%Total 100% 55% 45%

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System Hospital Size and Home Health

As the size of system hospitals increases, there is a greater balance of system hospitals with home health. Twice as many hospitals with 500+ beds provide home health services compared to those without the service.

< 100 100-299 300-499 500+ Total0%

10%

20%

30%

40%

50%

60%

20% 21%

9%5%

55%

21%17%

5%2%

45%

Home Health No Home Health

Beds

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System Hospitals: Safety Net

Only one quarter of the system-hospitals are safety net facilities.

Approximately equal amounts of safety net hospitals provide or do not provide home health services. Eleven percent more non-safety-net system hospitals provide home health than do not. Over two-thirds of the hospitals that provide home health services are not safety net hospitals.

Safety Net Hospitals Total Home Health No Home Health

Safety Net 25% 12% 13%

Not Safety Net 75% 43% 32%

Total 100% 55% 45%

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System Hospitals: Descriptive Statistics

At the system hospital level, independent paired t-tests revealed small differences in the means of the home health/no home health cohorts for the overall score and each of the constituent measure scores. These differences are not practically significant, although there is a 1.58% difference in the cohort means for HCAHPS in favor of the home health group. The Bonferoni and Sidak corrections were applied.

Measure Status N Mean p value CorrectionsOverall Composite HH NOT PRESENT 880 67.51 0.0043 BON, SIDAK  HH PRESENT 1278 68.02    Clinical Composite HH NOT PRESENT 885 70.496 0.98 BON, SIDAK  HH PRESENT 1275 70.747    Process Rate HH NOT PRESENT 885 96.73 0.35 BON, SIDAK  HH PRESENT 1279 96.88    Complications HH NOT PRESENT 885 74.26 0.0008 BON, SIDAK  HH PRESENT 1279 72.66    Readmissions HH NOT PRESENT 885 15.67 0.0472 BON, SIDAK  HH PRESENT 1279 15.58    Mortality HH NOT PRESENT 885 12.42 0.0366 BON, SIDAK  HH PRESENT 1279 12.29    HCAHPS HH NOT PRESENT 880 70.36 < .0001 BON, SIDAK  HH PRESENT 1278 71.94    

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System Hospitals: Cohort Distributions

Home health system hospitals have a slightly higher mean for their overall composite score. This is statistically significant (p=.0043), however the R squared value is only 0.004. Both median and mean are slightly higher for the home health cohort.

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System Hospital Overall Score and Home Health

A higher percentage of system hospitals that provide home health services are in the top quartile for overall composite score. In contrast, the lowest quartile has a greater balance of system hospitals that do not provide this service.

Score categories based on quartiles (25th, 50th, 75th, 99th)

HH PRESENT HH NOT PRESENT0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

16%

9%

15%

10%

14%

11%

14%

11%

Top Quartile 2 3 4

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System Hospitals: Overall Score by Hospital Type

Twenty percent of all system hospitals are non-profits. In addition to having a higher percentage of home health services, they are leaders among the hospitals with the best overall composite scores. In contrast,15% of the system hospitals in the lower performance quartiles are for-profit organizations.

1 2 3 40%

5%

10%

15%

20%

25%

For-Profit Non-Federal Govt Non-Profit Other

Quartile

Score categories based on quartiles (25th, 50th, 75th, 99th)

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System Hospitals: Medicare Cost

SYSTEM HOSPITALS: Medicare  Spend per Enrollee

SPEND/ENROLLEE HOME HEALTH MEAN NO HOME HEALTH MEAN P VALUE R sqr

TOTAL MEDICARE $                          9,503   $                            9,942  <.0001 0.021

HOSPITAL AND SNF $                          4,429   $                            4,595  <.0001 0.009

PHYSICIAN $                          2,493   $                            2,587  0.0002 0.005

OUTPATIENT $                          1,451   $                            1,442  0.6177 0.000

HOME HEALTH $                              502   $                                649  <.0001 0.038

HOSPICE $                              389   $                                425  <.0001 0.009

DME $                              250   $                                265  <.0001 0.016

Sidak correction applied. Source: Dartmouth Atlas of Healthcare - 2012

Medicare cost per enrollee was less in system hospitals that provided home health care. Although this was true in each spend category, with the exception of physician charges, the R squared values are quite small. Total Medicare spend and Home Health spend had slightly higher R squared values, however they are still low with respect to explanation of the differences in spending.

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Principal Findings: System Level

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Systems and Regions

The highest percentages of home health services within systems are in the Midwest and West. (Because some systems have hospitals in multiple regions, one system may appear in more than one region’s volume. The Mayo Clinical, for example, has hospitals in the Midwestern, Southern and Western regions.)

  N Home Health No Home Health

SYSTEMS (Total) 378    

SYSTEMS  (AT LEAST 2 HOSPITALS) 345    

SYSTEM HOSPITALS (QUALIFYING) 2905 1612 1293

SYSTEM HOSPITALS (Status)   55% 45%

  HH PRESENT HH NOT PRESENT TOTALMIDWEST 557 252 809  19% 9% 28%NORTHEAST 230 115 345  8% 4% 12%SOUTH 389 426 815  13% 15% 28%US TERRITORIES 0 9 9  0% 0% 0%WEST 436 491 927  15% 17% 32%Total 1612 1293 2905  55% 45% 100%

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System-Level Performance

Independent sample t-tests revealed small differences between home health/no home health cohorts, though these differences are not practically significant. The difference between cohorts is largest for patient satisfaction. The Sidak correction was applied to each of these analyses.

Source: 2013 AHA Survey of Hospitals. Systems must have at least one hospital indicating home health to be counted as a “Home Health – System”* A lower score indicates better performance.

Measure HH PRESENT HH NOT PRESENT p value

Overall Composite 68.06 67.53 0.003

Overall Composite 70.78 70.76 0.952

Process Measures 96.89 96.73 0.317Complications 72.75 74.29 0.001

Readmissions * 15.57 15.67 0.031

Mortality * 12.30 12.41 0.057

HCAHPS 71.97 70.39 <.0001

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Conclusions

• A greater proportion of hospitals with 300+ beds had home health services compared to groups of smaller institutions.

• Better performance on composite scores was displayed by the group of non-profit hospitals. Non-profits were also more likely to have home health services. The results did not demonstrate practically significant differences.

• Slightly higher process, satisfaction, and readmission measures are observed when a hospital provides home health services, however these results do not have practical statistical significance.

• Both overall composite measures and clinical composite measures are slightly higher for home-health institutions. Again, these differences are not practically significant.

• Medicare spending was lower in the home health cohort for many dimensions of care, however these results were also not practically significant.

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Study Limitations

• As each data source is integrated, there’s a corresponding decrease in the sample size. Missing data may result in a number of hospitals being excluded.

• Although statistically significant, the small differences in measures of central tendency cannot be interpreted as meaningful differences between the home-health and non- home-health cohorts.

• A number of t-tests were performed and this may cause a compounding risk of a type I error. The Sidak or Bonferroni corrections make this less likely to occur. Some t-tests performed did not meet this more stringent criterion to reject differences that could occur due to chance alone.

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Opportunities for Further Study

• Impact of home health on prevention of readmissions.

• Impact of home health on patient and family engagement.

• Investigation into the characteristics of non-profit vs. other hospital types with respect to home health.

• Presence of long term care (LTC) and home health• Number of FTEs in home health or LTC and

composite scores.• Characteristics of hospitals and systems with

respect to home health; such as annual discharge volume, presence of rehabilitation units, geographic area served by hospitals.

• Characteristics of non-system vs system hospitals and provision of home-health services.