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Culture Conversion and Self-Administered Therapy in Private Culture Conversion and Self-Administered Therapy in Private

Culture Conversion and Self-Administered Therapy in Private - PowerPoint Presentation

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Culture Conversion and Self-Administered Therapy in Private - PPT Presentation

Melissa Ehman MPH Jennifer Flood MD MPH Pennan Barry MD MPH Tuberculosis Control Branch Division of Communicable Disease Control Center for Infectious Diseases California Department of Public Health ID: 373184

culture patients pmp conversion patients culture conversion pmp managed care dot 001 sat patient days california lhd disease positive

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Slide1

Culture Conversion and Self-Administered Therapy in Privately Managed Tuberculosis Patients

Melissa Ehman MPH, Jennifer Flood MD MPH, Pennan Barry MD MPH

Tuberculosis Control Branch, Division of Communicable Disease Control, Center for Infectious Diseases, California Department of Public HealthSlide2

Background

Private

medical providers (PMPs)

provide majority of care for 1/3 of patients with tuberculosis (TB) in California

increasing trend as of 2009

Affordable Care Act may further increase PMP role in TB patient care

Local health departments (LHDs) maintain responsibility for oversight

P

roportion of cases cared for by PMPs varies widely between LHDs, from 3% to 100%

Differences in indicator results between LHD- and PMP-managed patients point to possible differences in care, and opportunities for improvementSlide3

Provider Types* in California, by LHD, 2003-2008

*proportion of patients cared for by both PMP and HD not shownSlide4

Objective

Determine whether patient characteristics explain indicator performance differences between patients managed by PMPs and LHDsSlide5

Methods

Study population

: TB cases counted in California during 2003, 2004, 2005, 2006, 2008

Data sources

: RVCT, and Office of AIDS Registry Match Data for California

TB cases were stratified according to provider type “LHD” or “PMP/Other”

Exclusions

“Both” provider type

: variation in reporting across LHDs

Diagnosed at death

: provider type not routinely reported

Associations between PMP care and indicator outcomes

modeled

using

multivariable

regression, adjusting for

patient

demographic and clinical

characteristicsSlide6

Study Indicators

First two indicators chosen for inclusion based on:

Public health impact of TB control activity

Known differences in results between PMP and LHD patients on

univariable

analysis

Culture Conversion

Documented sputum culture conversion to negative within 70 days of treatment start, for sputum culture-positive TB patients who do not die during the first 70 days of treatment

Inappropriate Self-Administered Therapy (SAT)

Patients receiving only SAT, of those starting treatment and for whom DOT is indicated under California guidelines:

AIDS, drug-resistance, previous TB, culture conversion >60 days,

cavitary

TB, sputum smear-positive TB, homelessness, drug use, age <18 years, recent incarcerationSlide7

ResultsSlide8

No Documented Culture Conversion ≤70 Days

Selected

Univariable

Analysis Results

Patient

Characteristic

All Patients

N (%)

No

CC ≤70d

n

(%)

P value

ALL PATIENTS

6328 (100)

1850 (29)

--

Age 0-4

years

7 (0.1)

5 (71)

0.026

Any

MDR

74 (1.2)

30 (41)

0.030

PMP managed

1849 (29)

730

(39)

<0.001

Disseminated

disease

109 (1.7)

40 (37)

0.084

Cavitary disease

1712 (28)

580 (34)

<0.001

Born

in United States

1144 (18)

390 (34)

<0.001

Homeless or drug

/alcohol use

1155 (18)

379 (33)

0.003

HIV

positive

148 (2.3)

45

(30)

0.752

Female

2238 (35)

584 (26)

<0.001

DOT

for ≥10 weeks

3935 (62)

951 (24)

<0.001Slide9

No Documented Culture Conversion ≤70 Days

Multivariable Model Results

Patient

Characteristic

Relative Risk

95% Confidence Interval (CI)

Age 0-4

years

2.19

1.24 – 3.86

PMP managed

1.56

1.45 – 1.68

Any

MDR

1.72

1.35 – 2.19

Disseminated

disease

1.27

1.003 – 1.63

Cavitary disease

1.26

1.16 – 1.36

Homeless or drug

/alcohol use

1.17

1.29 – 1.06

Born in United States

1.12

1.02 – 1.23

HIV

positive

1.01

0.78 – 1.31

Female

0.87

0.80 – 0.95

DOT

for ≥10 weeks

0.61

0.56 – 0.66Slide10

SAT in Patients with Indications for DOT

Selected

Univariable

Analysis Results

Patient

Characteristic

All Patients

N (%)

SAT

n

(%)

P value

ALL PATIENTS

6824 (100)

746 (11)

--

PMP managed

2271 (33)

568 (25)

< 0.001

N

o culture conversion ≤ 60 days

2027 (42)

300 (15)

<0.001

History of TB

622 (9.2)

78 (13)

0.174

INH or Rifampin

resistance

783 (14)

97 (12)

0.128

Long-term care facility

213 (3.1)

23 (11)

0.948

HIV

positive

201 (2.9)

17 (8.4)

0.254

Age < 18

years

863 (13)

70 (8.1)

0.005

Cavitary disease

1823 (29)

129 (7.1)

<0.001

Sputum

smear-positive

3839 (63)

212 (5.7)

<0.001

Homeless or drug

/alcohol use

1498 (22)

81 (5.4)

<0.001

Correctional facility

204 (3.0)

10 (4.9)

0.005Slide11

SAT in Patients with Indications for DOT

Multivariable Model Results

Patient

Characteristic

Odds

Ratio

95% CI

PMP managed

8.45

8.84 – 11.44

N

o culture conversion ≤ 60 days

1.67

1.29 – 2.15

Born in United States

1.39

1.02 – 1.90

History

of TB

0.77

0.49 – 1.20

Cavitary disease

0.52

0.39 – 0.70

INH or Rifampin resistance

0.48

0.31 – 0.74

Age < 18 years

0.46

0.22 – 0.97

HIV

positive

0.45

0.18 – 1.14

Correctional facility

0.26

0.10 – 0.67

Homeless

or drug/alcohol use

0.25

0.16 – 0.39

Smear

positive

0.23

0.18 – 0.30

Long-term care facility

0.18

0.07 – 0.49

Disseminated disease

0.17

0.06 – 0.52Slide12

Summary

Documented Sputum Culture Conversion ≤ 70 Days

After adjustment for confounders,

PMP-managed TB patients

less likely

to culture convert, vs. LHD-managed

Patients with

MDR TB

or

cavitary

disease

less likely

to

document culture conversion ≤ 70 days

Patients receiving ≥

10 weeks of DOT more likely

to document culture conversion ≤ 70

days

SAT When DOT Is Indicated

PMP-managed TB patients more likely

to receive SAT throughout treatment when DOT is indicated

Patients slow to culture convert more likely

to receive SAT, vs. those with other DOT indicationsSlide13

Limitations

Preliminary results

Caution for interpretation at local level

Reporting of provider type varies across LHDs

Influence of patient characteristics may also vary

Unmeasured confounders, e.g., comorbidities and culture conversion

Odds ratios are likely overestimates of magnitude of true associationsSlide14

California Interventions to Improve

PMP-Managed

TB Patient

Care (1)

TB Indicators Project (TIP)

Partnership between state and 14 local TB

c

ontrol programs with highest TB incidence in California

Culture Conversion and DOT/SAT among most-selected indicators

Outcomes improved after TIP interventions in most

LHDsSlide15

California Interventions to Improve

PMP-Managed

TB Patient

Care (2)

State

TB Program Interventions

Fact sheets on DOT and culture

conversion

targeted

to PMPs

LHD TB Program Interventions

Letter to PMP at

diagnosis

outlining

standards of care and LHD role

Provide DOT and sputum collection for

PMP

patients

Regular case management

conferences

identify

patients not on DOT or without documented culture conversionSlide16

Conclusions

When

other

characteristics

are taken into

account,

PMP-managed patients are at higher risk for:

not having a documented, timely culture conversion

receiving SAT when DOT is indicated

When TB patients cannot be managed by the LHD, strategies to ensure a consistent level of TB care for PMP patients are

needed

Outcomes might improve by LHD overseeing culture conversion and providing DOTSlide17

Next Steps

Sensitivity analysis of culture conversion

within 70 vs. 60 days

Assess additional indicators of interest

Completion of therapy, to inform feasibility of improving performance

Deaths during therapy, to avert preventable deaths in the future

Include

new

surveillance fields:

Comorbidities

Patients receiving only inpatient care

Measure effectiveness of specific LHD interventions to improve outcomes for patients under PMP careSlide18

Acknowledgements

Anne Cass

Alex Golden

Linda Johnson

Lisa

Pascopella

Fei

Fei

Qin

For more information, please contact

Melissa

Ehman

:

mehman@cdph.ca.gov