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Improving Diabetes Care:Effectiveness of Physician Profiling and Care Coordination by a Diabetes Resource Nurse

A Randomized Trial of Strategies to Improve Diabetes Care: Effectiveness and Costs of Physician Profiling and Care Coordination by a Diabetes Resource Nurse

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00258674
Enrollment
1891
Registered
2005-11-28
Start date
2000-01-01
Completion date
2001-12-01
Last updated
2026-03-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Mellitus

Keywords

Diabetes, Care coordination, Case management, Physician profiling

Brief summary

The purpose of this study is to test the effectiveness of physician profiling and care coordination by a diabetes resource nurse in improving the quality of diabetes care.

Detailed description

HealthTexas Provider Network primary care practices with at least 10 Medicare diabetes patients over the age of 65 were randomized to one of 3 intervention arms: physician feedback of process measures using Medicare claims data ("Claims"); feedback of Medicare claims data plus clinical measures from medical record abstraction ("Claims+MR"); or both types of feedback plus a practice-based DRN ("DRN"). For the 12 months prior to the intervention and 12 months post-intervention, performance data on diabetes related processes of care (annual HbA1c testing, annual LDL cholesterol screening, annual hypertension screening, annual eye, foot, and renal assessment) and patient outcomes (HbA1c level, LDL cholesterol level, blood pressure) were collected from medical record abstraction and Medicare claims data. Pre-post change scores will be compared between intervention arms to examine effectiveness of physician profiling and care coordination by a diabetes resource nurse.

Interventions

OTHERMedicare Claims Feedback

Physician practices received periodic feedback on their performance on selected diabetes quality of care measures as reflected by the Medicare claims data for their patients.

Physician practices received period feedback on their performance on selected diabetes quality of care measures, as reflected by data collected from their patients' medical records. These data were compiled by trained nurse abstractors using a standardized data collection tool developed for this study.

OTHERDiabetes Resource Nurse

Diabetes Resource Nurses (DRNs) were registered nurses with 3-5 years of experience as certified diabetes educations who performed initial patient assessments, developed plans of care, administered screening tools, and monitored clinical outcomes. Physicians at the practices randomised to this intervention had could access the DRN's services for their diabetes patients, but neither physicians nor patients had to take advantage of this resource.

Sponsors

Baylor Research Institute
Lead SponsorOTHER
American Diabetes Association
CollaboratorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* age ≥ 65 years on January 1, 2000 * diagnosis of diabetes mellitus * diabetes related visit to HTPN physician within the past year * Resident of Texas * Medicare insurance coverage

Exclusion criteria

* Patient chart not available for abstraction

Design outcomes

Primary

MeasureTime frameDescription
Change Score for "HbA1c <9 Percent"This measure compared baseline values (01/01/2000-12/31/2000) to follow-up values (01/01/2001-12/31/2001)Each patient was assigned a "change score" of -1, 0, or 1. A positive value indicated a patient non-adherent to the guideline recommendation for HbA1c \<9 percent at baseline had achieved such a level at follow up. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "LDL <100 mg/dL"change from baseline (01/01/2000-12/31/2000) to follow-up (01/01/2001-12/31/2001)Each patient was assigned a "change score" of -1, 0, or 1. A positive value indicated that a patient non-adherent to the guideline recommendation of LDL \<100 mg/dL at baseline had achieved adherence at follow-up. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Blood Pressure (b.p.) <130/80 mmHg"change from baseline (01/01/2000-12/31/2000) to follow-up (01/01/200112/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated that a patient non-adherent to the guideline recommendation of blood pressure \<130/80 mmHg at baseline had achieved adherence at follow-up. Patient-level change scores were then summed and averaged over each study arm.

Secondary

MeasureTime frameDescription
Change Score for "HbA1c Level"change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Change score was calculated by subtracting the follow-up HbA1c value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Diastolic Blood Pressure"change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Change score was calculated by subtracting the follow-up value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "LDL Level"change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Change score was calculated by subtracting the follow-up LDL value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Systolic Blood Pressure"change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Change score was calculated by subtracting the follow-up value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual HbA1c Assessment" (as Determined From Medical Record Review)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual HbA1c assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual Lipid Assessment" (as Determined From Medical Record Review)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual lipid assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual Blood Pressure Assessment" (as Determined From Medical Record Review)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual blood pressure assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual Foot Exam" (as Determined by Medical Record Review)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual foot exam in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual Eye Exam" (as Determined From Medical Record Review)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual eye exam in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual Renal Function Assessment" (as Determined From Medical Record Review)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual renal function assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual HbA1c Assessment" (as Determined From Medicare Claims Data)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual HbA1c assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual Eye Exam" (as Determined From Medicare Claims Data)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual eye exam in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Annual Lipid Assessment" (as Determined From Medicare Claims Data)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual lipid assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.
Change Score for "Semiannual HbA1c Assessment" (as Determined From Medicare Claims Data)change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for a semi-annual HbA1c assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORDavid J Ballard, MD,MSPH,PhD

Baylor Health Care System Institute for Health Care Research and Improvement

Participant flow

Participants by arm

ArmCount
Claims
Physician feedback of patient process measures using Medicare claims data
565
Claims+MR
Physician feedback of patient process measures using Medicare claims data plus medical record-abstracted clinical measures
758
Claims+MR+Diabetes Resource Nurse
Physician Feedback of patient process measures using Medicare claims data and medical record-abstracted clinical measures, plus patient access to a diabetes resource nurse.
568
Total1,891

Baseline characteristics

CharacteristicClaims+MR+Diabetes Resource NurseTotalClaimsClaims+MR
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
568 Participants1891 Participants565 Participants758 Participants
Age, Categorical
Between 18 and 65 years
0 Participants0 Participants0 Participants0 Participants
Age, Continuous73.2 years
STANDARD_DEVIATION 0.1
72.9 years
STANDARD_DEVIATION 0.1
73.1 years
STANDARD_DEVIATION 0.1
72.6 years
STANDARD_DEVIATION 0.1
mean diastolic blood pressure77.1 mmHg
STANDARD_DEVIATION 9.8
76.8 mmHg
STANDARD_DEVIATION 0.2
76.0 mmHg
STANDARD_DEVIATION 9.9
77.7 mmHg
STANDARD_DEVIATION 9.5
Mean HbA1c level7.1 percent
STANDARD_DEVIATION 1.4
7.2 percent
STANDARD_DEVIATION 0.03
7.2 percent
STANDARD_DEVIATION 1.5
7.2 percent
STANDARD_DEVIATION 1.4
mean LDL level104.3 mg/dL
STANDARD_DEVIATION 33.9
104.9 mg/dL
STANDARD_DEVIATION 0.9
106.9 mg/dL
STANDARD_DEVIATION 32.9
104.6 mg/dL
STANDARD_DEVIATION 32.6
mean systolic blood pressure140.2 mmHg
STANDARD_DEVIATION 18
139.6 mmHg
STANDARD_DEVIATION 0.4
139.5 mmHg
STANDARD_DEVIATION 18.5
139.7 mmHg
STANDARD_DEVIATION 18.6
Number of patients with an annual eye exam (as determined from medical record review)119 participants307 participants61 participants127 participants
Number of patients with an annual eye exam (as determined from Medicare claims data)353 participants1200 participants350 participants497 participants
Number of patients with an annual foot exam (as determined from medical record review)363 participants1001 participants229 participants409 participants
Number of patients with an annual lipid assessment (as determined from medical record review)441 participants1388 participants380 participants567 participants
Number of patients with an annual lipid assessment (as determined from Medicare claims data)448 participants1428 participants398 participants582 participants
Number of patients with annual blood pressure assessment (as determined from medical record review)561 participants1874 participants562 participants751 participants
number of patients with annual HbA1c assessment (as determined from medical record review)562 participants1763 participants508 participants693 participants
Number of patients with annual HbA1c assessment (as determined from Medicare claims data)533 participants1725 participants512 participants680 participants
Number of patients with annual renal function test (as determined from medical record review)234 participants706 participants168 participants304 participants
Number of patients with a semi-annual HbA1c assessment (as determined form Medicare claims data)434 participants1368 participants394 participants540 participants
Number of patients with blood pressure <130/80 mmHg99 participants345 participants110 participants136 participants
number of patients with HbA1c <9 percent481 participants1572 participants461 participants630 participants
Number of patients with LDL cholesterol <100mg/dL198 participants600 participants158 participants244 participants
Sex: Female, Male
Female
279 Participants949 Participants290 Participants380 Participants
Sex: Female, Male
Male
289 Participants942 Participants275 Participants378 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
other
Total, other adverse events
0 / 00 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 00 / 0

Outcome results

Primary

Change Score for Blood Pressure (b.p.) <130/80 mmHg

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated that a patient non-adherent to the guideline recommendation of blood pressure \<130/80 mmHg at baseline had achieved adherence at follow-up. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (01/01/2000-12/31/2000) to follow-up (01/01/200112/31/2001)

Population: Patients missing either a baseline or follow-up blood pressure value were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Blood Pressure (b.p.) <130/80 mmHg0.05 units on a scaleStandard Deviation 0.47
Claims+MRChange Score for Blood Pressure (b.p.) <130/80 mmHg0.03 units on a scaleStandard Deviation 0.5
Claims+MR+Diabetes Resource NurseChange Score for Blood Pressure (b.p.) <130/80 mmHg0.04 units on a scaleStandard Deviation 0.45
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.927Regression, Logistic
Primary

Change Score for HbA1c <9 Percent

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient non-adherent to the guideline recommendation for HbA1c \<9 percent at baseline had achieved such a level at follow up. Patient-level change scores were then summed and averaged over each study arm.

Time frame: This measure compared baseline values (01/01/2000-12/31/2000) to follow-up values (01/01/2001-12/31/2001)

Population: Patients missing either baseline or follow-up values for HbA1c were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for HbA1c <9 Percent0.01 units on a scaleStandard Deviation 0.34
Claims+MRChange Score for HbA1c <9 Percent0.02 units on a scaleStandard Deviation 0.32
Claims+MR+Diabetes Resource NurseChange Score for HbA1c <9 Percent0.04 units on a scaleStandard Deviation 0.32
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.307Regression, Logistic
Primary

Change Score for LDL <100 mg/dL

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated that a patient non-adherent to the guideline recommendation of LDL \<100 mg/dL at baseline had achieved adherence at follow-up. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (01/01/2000-12/31/2000) to follow-up (01/01/2001-12/31/2001)

Population: Patients missing either baseline or follow-up LDL values were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for LDL <100 mg/dL-0.01 units on a scaleStandard Deviation 0.52
Claims+MRChange Score for LDL <100 mg/dL0.07 units on a scaleStandard Deviation 0.5
Claims+MR+Diabetes Resource NurseChange Score for LDL <100 mg/dL0.02 units on a scaleStandard Deviation 0.52
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.551Regression, Logistic
Secondary

Change Score for Annual Blood Pressure Assessment (as Determined From Medical Record Review)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual blood pressure assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom either baseline or follow-up records were missing were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual Blood Pressure Assessment (as Determined From Medical Record Review)-0.09 units on a scaleStandard Deviation 0.29
Claims+MRChange Score for Annual Blood Pressure Assessment (as Determined From Medical Record Review)-0.09 units on a scaleStandard Deviation 0.3
Claims+MR+Diabetes Resource NurseChange Score for Annual Blood Pressure Assessment (as Determined From Medical Record Review)-0.07 units on a scaleStandard Deviation 0.3
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.451Regression, Logistic
Secondary

Change Score for Annual Eye Exam (as Determined From Medical Record Review)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual eye exam in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom records were not available at either baseline or follow-up were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual Eye Exam (as Determined From Medical Record Review)-0.01 units on a scaleStandard Deviation 0.37
Claims+MRChange Score for Annual Eye Exam (as Determined From Medical Record Review)-0.02 units on a scaleStandard Deviation 0.46
Claims+MR+Diabetes Resource NurseChange Score for Annual Eye Exam (as Determined From Medical Record Review)0.00 units on a scaleStandard Deviation 0.52
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.936Regression, Logistic
Secondary

Change Score for Annual Eye Exam (as Determined From Medicare Claims Data)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual eye exam in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom records were not available at either baseline or follow-up were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual Eye Exam (as Determined From Medicare Claims Data)-0.09 units on a scaleStandard Deviation 0.54
Claims+MRChange Score for Annual Eye Exam (as Determined From Medicare Claims Data)-0.06 units on a scaleStandard Deviation 0.59
Claims+MR+Diabetes Resource NurseChange Score for Annual Eye Exam (as Determined From Medicare Claims Data)-0.06 units on a scaleStandard Deviation 0.54
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.382Regression, Logistic
Secondary

Change Score for Annual Foot Exam (as Determined by Medical Record Review)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual foot exam in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom baseline or follow-up records were not available were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual Foot Exam (as Determined by Medical Record Review)-0.11 units on a scaleStandard Deviation 0.56
Claims+MRChange Score for Annual Foot Exam (as Determined by Medical Record Review)-0.06 units on a scaleStandard Deviation 0.67
Claims+MR+Diabetes Resource NurseChange Score for Annual Foot Exam (as Determined by Medical Record Review)-0.01 units on a scaleStandard Deviation 0.59
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.447Regression, Logistic
Secondary

Change Score for Annual HbA1c Assessment (as Determined From Medical Record Review)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual HbA1c assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom records were missing for either baseline or follow-up were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual HbA1c Assessment (as Determined From Medical Record Review)-0.08 units on a scaleStandard Deviation 0.45
Claims+MRChange Score for Annual HbA1c Assessment (as Determined From Medical Record Review)-0.09 units on a scaleStandard Deviation 0.44
Claims+MR+Diabetes Resource NurseChange Score for Annual HbA1c Assessment (as Determined From Medical Record Review)-0.10 units on a scaleStandard Deviation 0.45
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.413Regression, Logistic
Secondary

Change Score for Annual HbA1c Assessment (as Determined From Medicare Claims Data)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual HbA1c assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom records were not available at either baseline or follow-up were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual HbA1c Assessment (as Determined From Medicare Claims Data)-0.16 units on a scaleStandard Deviation 0.51
Claims+MRChange Score for Annual HbA1c Assessment (as Determined From Medicare Claims Data)-0.16 units on a scaleStandard Deviation 0.51
Claims+MR+Diabetes Resource NurseChange Score for Annual HbA1c Assessment (as Determined From Medicare Claims Data)-0.17 units on a scaleStandard Deviation 0.47
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.86Regression, Logistic
Secondary

Change Score for Annual Lipid Assessment (as Determined From Medical Record Review)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual lipid assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom either baseline or follow-up records were missing were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual Lipid Assessment (as Determined From Medical Record Review)0.00 units on a scaleStandard Deviation 0.55
Claims+MRChange Score for Annual Lipid Assessment (as Determined From Medical Record Review)-0.06 units on a scaleStandard Deviation 0.52
Claims+MR+Diabetes Resource NurseChange Score for Annual Lipid Assessment (as Determined From Medical Record Review)-0.01 units on a scaleStandard Deviation 0.53
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.996Regression, Logistic
Secondary

Change Score for Annual Lipid Assessment (as Determined From Medicare Claims Data)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual lipid assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom records were not available at either baseline or follow-up were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual Lipid Assessment (as Determined From Medicare Claims Data)-0.09 units on a scaleStandard Deviation 55
Claims+MRChange Score for Annual Lipid Assessment (as Determined From Medicare Claims Data)-0.15 units on a scaleStandard Deviation 0.57
Claims+MR+Diabetes Resource NurseChange Score for Annual Lipid Assessment (as Determined From Medicare Claims Data)-0.08 units on a scaleStandard Deviation 0.53
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.988Regression, Logistic
Secondary

Change Score for Annual Renal Function Assessment (as Determined From Medical Record Review)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for an annual renal function assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom records were not available at either baseline or follow-up were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Annual Renal Function Assessment (as Determined From Medical Record Review)0.04 units on a scaleStandard Deviation 0.48
Claims+MRChange Score for Annual Renal Function Assessment (as Determined From Medical Record Review)0.07 units on a scaleStandard Deviation 0.49
Claims+MR+Diabetes Resource NurseChange Score for Annual Renal Function Assessment (as Determined From Medical Record Review)0.08 units on a scaleStandard Deviation 0.46
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.332Regression, Logistic
Secondary

Change Score for Diastolic Blood Pressure

Change score was calculated by subtracting the follow-up value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients missing either a baseline or follow-up blood pressure measurement were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Diastolic Blood Pressure1.21 mmHgStandard Deviation 10.51
Claims+MRChange Score for Diastolic Blood Pressure1.04 mmHgStandard Deviation 10.32
Claims+MR+Diabetes Resource NurseChange Score for Diastolic Blood Pressure1.26 mmHgStandard Deviation 11.73
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.867Regression, Logistic
Secondary

Change Score for HbA1c Level

Change score was calculated by subtracting the follow-up HbA1c value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients missing either a baseline or follow-up HbA1c value were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for HbA1c Level0.05 change in percentage of glycosolated-HbStandard Deviation 1.28
Claims+MRChange Score for HbA1c Level0.16 change in percentage of glycosolated-HbStandard Deviation 1.44
Claims+MR+Diabetes Resource NurseChange Score for HbA1c Level0.14 change in percentage of glycosolated-HbStandard Deviation 1.24
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.308Regression, Logistic
Secondary

Change Score for LDL Level

Change score was calculated by subtracting the follow-up LDL value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients missing either baseline or follow-up LDL values were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for LDL Level0.22 mg/dLStandard Deviation 28.15
Claims+MRChange Score for LDL Level3.88 mg/dLStandard Deviation 28.54
Claims+MR+Diabetes Resource NurseChange Score for LDL Level-1.20 mg/dLStandard Deviation 30.37
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.807Regression, Logistic
Secondary

Change Score for Semiannual HbA1c Assessment (as Determined From Medicare Claims Data)

Each patient was assigned a change score of -1, 0, or 1. A positive value indicated a patient who was non-compliant with the guideline recommendation for a semi-annual HbA1c assessment in the baseline period was compliant in the follow-up period. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients for whom records were not available at either baseline or follow-up were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Semiannual HbA1c Assessment (as Determined From Medicare Claims Data)-0.12 units on a scaleStandard Deviation 0.62
Claims+MRChange Score for Semiannual HbA1c Assessment (as Determined From Medicare Claims Data)-0.11 units on a scaleStandard Deviation 0.62
Claims+MR+Diabetes Resource NurseChange Score for Semiannual HbA1c Assessment (as Determined From Medicare Claims Data)-0.11 units on a scaleStandard Deviation 0.56
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.685Regression, Logistic
Secondary

Change Score for Systolic Blood Pressure

Change score was calculated by subtracting the follow-up value from the baseline value for each patient. Patients missing either a baseline or follow-up value were excluded. Patient-level change scores were then summed and averaged over each study arm.

Time frame: change from baseline (1/1/2000-12/31/2000) to follow-up (1/1/2001-12/31/2001)

Population: Patients missing either a baseline or follow-up blood pressure measurement were excluded.

ArmMeasureValue (MEAN)Dispersion
ClaimsChange Score for Systolic Blood Pressure2.35 mmHgStandard Deviation 20.11
Claims+MRChange Score for Systolic Blood Pressure1.08 mmHgStandard Deviation 20.99
Claims+MR+Diabetes Resource NurseChange Score for Systolic Blood Pressure1.80 mmHgStandard Deviation 19.97
Comparison: We used a three-stage hierarchical model estimate the effect of the interventions on the change in endpoint from baseline to follow-up. Change scores for dichotomous measures were scored as -1, 0, or 1, with a positive value indicating increased guideline adherence or increased incidence of that process. We used ordered logistic models to test the hypothesis that patients in the intervention groups were more likely to meet guidelines or to receive these processes of care.p-value: 0.702Regression, Logistic

Source: ClinicalTrials.gov · Data processed: Mar 4, 2026