CClinicalTrials.gg
CompletedNCT02788903Updated Jul 3, 2024Results posted

A Patient-Centered PaTH to Addressing Diabetes

An observational study in Obesity, Diabetes and Covid19, sponsored by Milton S. Hershey Medical Center. Completed. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-07-03.

Sponsored by Milton S. Hershey Medical Center · Observational

Study type
Observational
Model
Cohort
Time perspective
Other
Enrollment
2,622,164
Ages
18 Years and older
Sex
All
01

Study summary

The overarching goal of this proposal is to understand the comparative effectiveness of obesity counseling as covered by CMS in improving weight loss for adults either with or at high risk of type 2 diabetes. CMS and most insurers now include obesity screening and counseling benefits, with no cost sharing to patients. Since overweight patients are at highest risk for diabetes, improved weight management services could prevent diabetes and its negative health outcomes. Beneficiaries with obesity are eligible for up to 20 face-to-face visits for weight counseling in the primary care setting. The investigators propose comparing weight and diabetes outcomes in three states using EHR and claims data before and after this policy was implemented by leveraging the novel infrastructure of the Patient-Centered Outcomes Research Institute-funded PaTH Clinical Data Research Network. Following developments during the COVID-19 pandemic, the investigators further plan to leverage our study infrastructure across five health systems to understand the comparative effectiveness of telemedicine approaches for providing outpatient care for patients with or at risk of type 2 diabetes and how these approaches impact the subgroup of patients with COVID-19.

Read the detailed description

Aim 1: Evaluate the impact of universal preventive service coverage for obesity screening and counseling on weight loss, diabetes incidence, and diabetes outcomes, in patients with diabetes or at high risk for diabetes (defined by body mass index (BMI) ≥ 25). The investigators will determine how the annual probability of receiving obesity and/or nutritional counseling (as defined by Current Procedural Terminology (CPT) code) changed pre- and post-policy across all insurers in a cohort of patients with diabetes and at high risk for diabetes. The investigators hypothesize that individual patients are more likely to receive counseling following coverage implementation. Further, the investigators hypothesize that patients who receive a greater number of face-to-face visits will have greater weight loss compared to those who receive fewer visits.

Aim 2: Compare patient weight loss and diabetes-related outcomes among those who receive obesity screening and counseling to those who do not, following implementation of preventive service coverage. The investigators will examine post-policy impact of obesity screening and counseling in a cohort of patients with diabetes and at high risk for diabetes. Specific outcomes to be examined include weight loss, diabetes incidence, and diabetes outcomes (including hemoglobin A1c, controlled blood pressure, use of a statin medication). Further, the investigators will determine patient characteristics, including demographics (age, race/ethnicity, rurality), and practice characteristics, including provider type, and their impact on receiving/providing obesity screening and counseling. Understanding patient and practice characteristics most likely to engage in obesity counseling can identify best practices and inform how to increase engagement by both patients and providers.

Aim 3: To understand the impact of telemedicine access (telephonic and/or virtual visits) compared to no telemedicine visits for outpatient care for patients with, or at risk of, type 2 diabetes during the pandemic on patient-centered outcomes including hemoglobin A1c and healthcare utilization, with sub-group analysis of patients with COVID-19;

Aim 4: To evaluate the risk of severe COVID-19 disease (defined by hospitalization and mortality) in patients with diabetes and/or elevated BMI, with a focus on identifying modifiable factors (i.e., medication use, treatment timeline/location, chronic comorbid conditions) and associated with improved outcomes to inform immediate intervention and future study.

02

Conditions studied

  • Obesity
  • Diabetes
  • Covid19

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Keywords

  • Obesity Counseling
  • telemedicine
03

In context

Diabetes Mellitus

10,925 studies on the registry are indexed under Diabetes Mellitus; 1,319 are open to participants now.

This study's enrollment of 2,622,164 is above the median of 233 across 2,220 observational studies indexed under Diabetes Mellitus.

Browse Diabetes Mellitus studies →

Lead sponsor

Milton S. Hershey Medical Center is the lead sponsor of 480 studies on the registry; 61 are open to participants now.

Of its 56 completed or terminated interventional studies of FDA-regulated products, 42 (75%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

Data will be collected through the PaTH Clinical Data Research Network (CDRN), a partnership of six academic health systems (Penn State Hershey Medical Center, University of Pittsburgh Medical Center, Temple Health System, Johns Hopkins Health System, University of Utah and Geisinger Health System) creating an electronic health record (EHR)-based data infrastructure across three states (Maryland, Pennsylvania, and Utah).

Inclusion criteria

Patients with Diabetes

  • Ages 18 and older
  • Indication of Type 2 Diabetes as defined using a clinically validated algorithm: type 2 diabetes mellitus on the problem list, diabetes-specific medications, hemoglobin A1c (HbA1c) results > 6.5%, or one inpatient diagnosis code or two out-patient diagnosis codes for type 2 diabetes (ICD-9 codes 250.xx)
  • patients who have either: (1) visited a primary care doctor from one of the PaTH health systems in the past 3 years (since January 1, 2012), or (2) for whom claims data are available

Patients with Pre-Diabetes (At risk):

  • Ages 18 and older
  • BMI > 25 kg/m2
  • patients who have either: (1) visited a primary care doctor from one of the PaTH health systems in the past 3 years (since January 1, 2012), or (2) for whom claims data are available

Patients with COVID-19:

  • Ages 18 and older
  • Patients with a diagnosis of COVID-19

Exclusion criteria

Exclusion Criteria:

  • Patients under the age of 18
05

Study design

Observational model
Cohort
Time perspective
Other
Enrollment
2,622,164 participants (actual)
Patient registry
No

Groups and cohorts

  • Diabetes

    During year 1 of the proposed project, the investigative team will identify a valid cohort of patients with type 2 diabetes using EHR data. The cohort of patients under study will be defined as all patients age 18 and older with an indication of type 2 diabetes during the proposed study time frame (2009-2019).

    Other: Weight Counseling

  • Pre-Diabetes

    The cohort of patients under study will be defined as patients age 18 and older who are at risk for the development of diabetes, based on being overweight. Patients seen at one of the six PaTH institutions will be included in the at-risk cohort if they have a BMI ≥ 25 kg/m2, based on most recent recorded weight and at least one recorded height.

    Other: Weight Counseling

Interventions

  • OtherWeight Counseling

    This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes.

06

What researchers measure

Primary outcomes

  1. Number of Participants Who Used the Intensive Behavioral Therapy (IBT) Service

    Number of patients who utilized IBT services was assessed in both the diabetes and pre-diabetes cohorts using code G0447.

    Time frame: 11 years

  2. Change in Weight During Counseling Program

    Weight change during counseling and/or % of weight change during program and maintained over remaining time period will be assessed in both the diabetes and pre-diabetes cohorts.

    Time frame: 11 years

  3. Hemoglobin A1c

    A1c of patients who received a telehealth visit and COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts.

    Time frame: 1 year

  4. Number of Participants Diagnosed With COVID-19 Who Were Hospitalized

    Number of Participants Diagnosed with COVID-19 Who Were Hospitalized in both the diabetes and pre-diabetes cohorts.

    Time frame: 1 year

Secondary outcomes

  1. Number of Patients Who Received Telehealth and Were Hospitalized With a COVID-19 Diagnosis

    Number of patients who received telehealth and were hospitalized with a COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts.

    Time frame: 1 year

  2. Number of Patients With Uncontrolled Blood Pressure

    The number of patients with uncontrolled blood pressure (SBP \> 140, DBP \> 90 all the time, defined for 1-year prior to first IBTb visit, and 1-year after) in the diabetes and pre-diabetes cohorts

    Time frame: 11 years

  3. Number of Patients With Uncontrolled Hemoglobin A1c

    The number of patients with uncontrolled hemoglobin A1c (HbA1cc \> 9 any time, defined for 1-year prior to first IBTb visit, and 1-year after) in the diabetes and pre-diabetes cohorts.

    Time frame: 11 years

  4. Number of Patients With a COVID-19 Diagnosis and ICU Use, Ventilator Use, or Death

    Incidence of ICU admission, ventilator use, or death in patients with a COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts.

    Time frame: 1 year

07

Results

Posted Oct 1, 2021

Participant flow

Participants' data was analyzed as part of a secondary data analysis analyzing de-identified EHR and Claims data. Participants did not consent to participate in this study.

Participant flow — Overall Study
MilestoneDiabetesPre-Diabetes
Started5679082054256
Completed5679082054256
Not completed00

Outcome measures

PrimaryNumber of Participants Who Used the Intensive Behavioral Therapy (IBT) Service

Number of patients who utilized IBT services was assessed in both the diabetes and pre-diabetes cohorts using code G0447.

Time frame:
11 years
Reported as:
Count of participants · Participants
Number of Participants Who Used the Intensive Behavioral Therapy (IBT) Service
ParticipantsDiabetesPre-Diabetes
Number of Participants Who Used the Intensive Behavioral Therapy (IBT) Service24173731
PrimaryChange in Weight During Counseling Program

Weight change during counseling and/or % of weight change during program and maintained over remaining time period will be assessed in both the diabetes and pre-diabetes cohorts.

Time frame:
11 years
Reported as:
Mean · lbs
Change in Weight During Counseling Program
lbsDiabetesPre-Diabetes
Change in Weight During Counseling Program206.8 ± 55.0194.8 ± 44.9
PrimaryHemoglobin A1c

A1c of patients who received a telehealth visit and COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts.

Time frame:
1 year
Reported as:
Mean · mmol/mol
Hemoglobin A1c
mmol/molDiabetesPre-Diabetes
Hemoglobin A1c6.6 ± 1.56.6 ± 1.5
PrimaryNumber of Participants Diagnosed With COVID-19 Who Were Hospitalized

Number of Participants Diagnosed with COVID-19 Who Were Hospitalized in both the diabetes and pre-diabetes cohorts.

Time frame:
1 year
Reported as:
Count of participants · Participants
Number of Participants Diagnosed With COVID-19 Who Were Hospitalized
ParticipantsDiabetesPre-Diabetes
Number of Participants Diagnosed With COVID-19 Who Were Hospitalized1,0251,379
SecondaryNumber of Patients Who Received Telehealth and Were Hospitalized With a COVID-19 Diagnosis

Number of patients who received telehealth and were hospitalized with a COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts.

Time frame:
1 year
Reported as:
Count of participants · Participants
Number of Patients Who Received Telehealth and Were Hospitalized With a COVID-19 Diagnosis
ParticipantsDiabetesPre-Diabetes
Number of Patients Who Received Telehealth and Were Hospitalized With a COVID-19 Diagnosis639838
SecondaryNumber of Patients With Uncontrolled Blood Pressure

The number of patients with uncontrolled blood pressure (SBP \> 140, DBP \> 90 all the time, defined for 1-year prior to first IBTb visit, and 1-year after) in the diabetes and pre-diabetes cohorts

Time frame:
11 years
Reported as:
Count of participants · Participants
Number of Patients With Uncontrolled Blood Pressure
ParticipantsDiabetesPre-Diabetes
Number of Patients With Uncontrolled Blood Pressure300,665928,366
SecondaryNumber of Patients With Uncontrolled Hemoglobin A1c

The number of patients with uncontrolled hemoglobin A1c (HbA1cc \> 9 any time, defined for 1-year prior to first IBTb visit, and 1-year after) in the diabetes and pre-diabetes cohorts.

Time frame:
11 years
Reported as:
Count of participants · Participants
Number of Patients With Uncontrolled Hemoglobin A1c
ParticipantsDiabetesPre-Diabetes
Number of Patients With Uncontrolled Hemoglobin A1c79,046164
SecondaryNumber of Patients With a COVID-19 Diagnosis and ICU Use, Ventilator Use, or Death

Incidence of ICU admission, ventilator use, or death in patients with a COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts.

Time frame:
1 year
Reported as:
Count of participants · Participants
Number of Patients With a COVID-19 Diagnosis and ICU Use, Ventilator Use, or Death
ParticipantsDiabetesPre-Diabetes
Number of Patients With a COVID-19 Diagnosis and ICU Use, Ventilator Use, or Death586500

Adverse events

Collected over Adverse event data were not collected as patients were not enrolled in the study. This study included only secondary data.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Diabetes———
Pre-Diabetes———
COVID-19———

Baseline characteristics

Age, Customized
Age, Customized(Participants)DiabetesPre-DiabetesTotal
Age — 18-24 years10,371259,691270062
Age — 25-34 years23,169355,885379054
Age — 35-44 years51,885340,065391950
Age — 45-54 years105,646374,446480092
Age — 55-64 years151,061346,075497136
Age — 65-74 years131,104224,386355490
Age — >75 years94,672153,708248380
Sex/Gender, Customized
Sex/Gender, Customized(Participants)DiabetesPre-DiabetesTotal
Sex — Female287,7251,167,3271455052
Sex — Male280,170886,8841167054
Sex — Other/Missing134558
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)DiabetesPre-DiabetesTotal
Hispanic or Latino29,211105,438134649
Not Hispanic or Latino514,1251,855,6122369737
Unknown or Not Reported24,57293,206117778
Race/Ethnicity, Customized
Race/Ethnicity, Customized(Participants)DiabetesPre-DiabetesTotal
Race — American Indian or Alaska Native1,8604,7256585
Race — Asian10,80935,41046219
Race — Black79,732216,860296592
Race — Native Hawaiin or Other Pacific Islander1,3114,4135724
Race — White438,9481,667,7672106715
Race — Multiple Race3971,8792276
Race — Other/Missing34,851123,202158053
Region of Enrollment
Region of Enrollment(Participants)DiabetesPre-DiabetesTotal
United States — Rural31,40292,934124336
United States — Urban470,2091,744,5292214738
United States — Missing66,297216,793283090
BMI
BMI(kg/m^2)DiabetesPre-DiabetesTotal
Mean32.9 ± 7.930.9 ± 6.231.55 ± 7.14
Diastolic Blood Pressure
Diastolic Blood Pressure(mm Hg)DiabetesPre-DiabetesTotal
Mean75.0 ± 7.776.6 ± 7.475.24 ± 10.67
Systolic Blood Pressure
Systolic Blood Pressure(mm Hg)DiabetesPre-DiabetesTotal
Mean130.4 ± 12.1126.0 ± 11.9127.03 ± 17.07

1 further baseline measures are reported on the registry.

08

Study locations

No study locations are listed for this record.

09

References and documents

Publications

  • Yeh HC, Kraschnewski JL, Kong L, Lehman EB, Heilbrunn ES, Williams P, Poger JM, Francis E, Bryce CL. Hospitalization and mortality in patients with COVID-19 with or at risk of type 2 diabetes: data from five health systems in Pennsylvania and Maryland. BMJ Open Diabetes Res Care. 2022 Jun;10(3):e002774. doi: 10.1136/bmjdrc-2022-002774. PubMed 35680172 ↗

Study documents

  • Protocol and statistical analysis plan · Mar 28, 2016

Documents are hosted by the registry — open the source record to download them.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 3, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT02788903
Lead sponsor
Milton S. Hershey Medical Center
Collaborators
Patient-Centered Outcomes Research Institute
Responsible party
Jennifer Kraschnewski (Assistant Professor of Medicine, Milton S. Hershey Medical Center) — Principal investigator
First posted
Jun 2, 2016
Start date
Mar 2016
Primary completion
May 2021
Completion
May 2021
Results posted
Oct 1, 2021
Last update
Jul 3, 2024

Study contacts

Jennifer L Kraschnewski, MD, MPH
principal investigator · Penn State College of Medicine, Penn State Milton S. Hershey Medical Center

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Jun 2024. You cannot join it, but the record below documents what was studied.

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