Not provided
Not provided
Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| NEN-1509-32304 | Other Grant/Funding Number | PCORI Contract Number |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Patient-Centered Outcomes Research Institute | OTHER |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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). |
| |
| 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Weight Counseling | Other | This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 11 years |
| 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. | 11 years |
| Hemoglobin A1c | A1c of patients who received a telehealth visit and COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts. | 1 year |
| 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. | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 1 year |
| Number of Patients With Uncontrolled Blood Pressure |
Not provided
Inclusion Criteria:
Patients with Diabetes
Patients with Pre-Diabetes (At risk):
Patients with COVID-19:
Exclusion Criteria:
Not provided
Not provided
Not provided
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).
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Jennifer L Kraschnewski, MD, MPH | Penn State College of Medicine, Penn State Milton S. Hershey Medical Center | Principal Investigator |
Not provided
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35680172 | Derived | 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. |
Not provided
Not provided
Participants were not randomized for this study.
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.
Not provided
| ID | Title | Description |
|---|---|---|
| FG000 | 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). Weight Counseling: This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. Telemedicine: This is a natural experiment which will observe the impact of telemedicine approaches for providing outpatient care for patients with or at risk of type 2 diabetes |
| FG001 | 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. Weight Counseling: This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | 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). Weight Counseling: This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. Telemedicine: This is a natural experiment which will observe the impact of telemedicine approaches for providing outpatient care for patients with or at risk of type 2 diabetes |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Customized | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | 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. | Posted | Count of Participants | Participants | 11 years |
|
Adverse event data were not collected as patients were not enrolled in the study. This study included only secondary data.
Adverse event data were not collected as patients were not enrolled in the study. This study included only secondary data.
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | 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). Weight Counseling: This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. Telemedicine: This is a natural experiment which will observe the impact of telemedicine approaches for providing outpatient care for patients with or at risk of type 2 diabetes |
Not provided
Not provided
Not provided
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Jennifer Kraschnewski | Penn State College of Medicine | 717-531-8161 | jkraschnewski@pennstatehealth.psu.edu |
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Mar 28, 2016 | Sep 1, 2021 | Prot_SAP_000.pdf |
Not provided
| ID | Term |
|---|---|
| D009765 | Obesity |
| D003920 | Diabetes Mellitus |
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
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 |
| 11 years |
| 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. | 11 years |
| 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. | 1 year |
| BG001 | 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. Weight Counseling: This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. |
| BG002 | Total | Total of all reporting groups |
| Participants |
|
| Sex/Gender, Customized | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Race/Ethnicity, Customized | Count of Participants | Participants |
|
| Region of Enrollment | Count of Participants | Participants |
|
| BMI | Mean | Standard Deviation | kg/m^2 |
|
| Diastolic Blood Pressure | Mean | Standard Deviation | mm Hg |
|
| Systolic Blood Pressure | Mean | Standard Deviation | mm Hg |
|
| Hemoglobin A1c | Mean | Inter-Quartile Range | mg/dL |
|
| OG001 | 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. Weight Counseling: This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. |
|
|
| Primary | 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. | Posted | Mean | Standard Deviation | lbs | 11 years |
|
|
|
| Primary | Hemoglobin A1c | A1c of patients who received a telehealth visit and COVID-19 diagnosis in both the diabetes and pre-diabetes cohorts. | Posted | Mean | Standard Deviation | mmol/mol | 1 year |
|
|
|
| Primary | 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. | Posted | Count of Participants | Participants | 1 year |
|
|
|
| Secondary | 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. | Posted | Count of Participants | Participants | 1 year |
|
|
|
| Secondary | 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 | Posted | Count of Participants | Participants | 11 years |
|
|
|
| Secondary | 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. | Posted | Count of Participants | Participants | 11 years |
|
|
|
| Secondary | 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. | Posted | Count of Participants | Participants | 1 year |
|
|
|
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| EG001 | 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. Weight Counseling: This is a natural experiment which will observe the impact of weight counseling by primary care physicians on patient outcomes. | 0 | 0 | 0 | 0 | 0 | 0 |
| EG002 | COVID-19 | This cohort of patients will be defined as patients age 18 and older who have received a diagnosis of COVID-19. Telemedicine: This is a natural experiment which will observe the impact of telemedicine approaches for providing outpatient care for patients with or at risk of type 2 diabetes | 0 | 0 | 0 | 0 | 0 | 0 |
Not provided
Not provided
| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D014777 | Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |