Vishal Patel

Graduate Trainee, University of Texas at Austin

6 active projects

Patient-clinician identity discordance among cancer survivors

Some people think it is helpful if their providers are from the same background that they are – in terms of race or religion or native language –because they think their doctors will better understand what they’re experiencing or going…

Scientific Questions Being Studied

Some people think it is helpful if their providers are from the same background that they are – in terms of race or religion or native language –because they think their doctors will better understand what they’re experiencing or going through. Further, for some, lack of identity concordance with the clinician may lead to delayed medical care. We evaluated the prevalence of delayed or forgone care among cancer survivors in the All of Us database and identify factors associated with delays in care due to this barrier.

Project Purpose(s)

  • Social / Behavioral

Scientific Approaches

We will study adults with a history of cancer who answered the health care access and utilization survey. We will describe the cohort's demographic characteristics and use propensity matching to identify similar adults without a prior history of cancer. We will compare the prevalence of delayed/forgone care among these groups. We will apply generalized linear models to identify risk factors associated with delays in care due to patient-clinician identity discordance.

Anticipated Findings

We anticipate that racial, ethnic, and gender minorities, as well as those with low income, and with a high burden of disease are at risk of delays in care due to patient-clinician identity discordance, and that some of these groups will be identified as such in this study. Our findings may support ongoing efforts to increase the diversity of physician workforce and promote the adoption of regular cultural competency leadership training.

Demographic Categories of Interest

  • Race / Ethnicity
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

  • Vishal Patel - Graduate Trainee, University of Texas at Austin

Surgical procedures in AoU

Purpose of the current workspace is to identify the number of available surgical patients in the all of us database.

Scientific Questions Being Studied

Purpose of the current workspace is to identify the number of available surgical patients in the all of us database.

Project Purpose(s)

  • Social / Behavioral

Scientific Approaches

No statistical methods will be used, other than simple frequency tables and time series visualizations to identify the number of available surgical procedure exposures

Anticipated Findings

Anticipate that the prevalence of surgical procedures in the database is likely similar to or higher than that of the national population

Demographic Categories of Interest

  • Race / Ethnicity
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

  • Vishal Patel - Graduate Trainee, University of Texas at Austin

Transportation barriers for patients with fractures

Surgical patients often face barriers to access followup care. We wanted to to ask whether patients with orthopedic fractures experience transporation barriers

Scientific Questions Being Studied

Surgical patients often face barriers to access followup care. We wanted to to ask whether patients with orthopedic fractures experience transporation barriers

Project Purpose(s)

  • Social / Behavioral

Scientific Approaches

We will study adults who answered the health care access and utilization survey. We will describe the cohort's demographic characteristics. We will apply generalized linear models to identify adjusted risk factors associated with delays in care due to transportation issues

Anticipated Findings

We anticipate that racial, ethnic, and gender minorities, as well as those with low income, and with a high burden of disease are at risk of delays in care due to lack of tranportation, and that some of these groups will be identified as such in this study.

Demographic Categories of Interest

  • Race / Ethnicity
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

  • Vishal Patel - Graduate Trainee, University of Texas at Austin

Cancer overdiagnosis

What is the prevalence and incidence of cancer in the All of Us research program. This research question may identify cancer phenotypes which are overrepresented with respect to national estimates.

Scientific Questions Being Studied

What is the prevalence and incidence of cancer in the All of Us research program. This research question may identify cancer phenotypes which are overrepresented with respect to national estimates.

Project Purpose(s)

  • Disease Focused Research (Cancer)

Scientific Approaches

We will compute the limited-duration prevalence rates of cancer overall and by primary site, adjusted for age based on nationally representative life tables.

Anticipated Findings

Participants in the All of Us cohort are subject to excess cancer overdiagnosis, likely owing to the healthy user effect. Future efforts to study cancer using the All of Us database must take this bias take great care in accounting for this bias prior to making or discounting evidence-based findings. Future recruitment efforts by the All of Us research program may be targeted at inclusion of individuals with underrepresented cancer phenotypes to promote equitable morbidity-guided research priorities.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Vishal Patel - Graduate Trainee, University of Texas at Austin

Perceived discrimination

We will aim to characterize the prevalence of perceived discrimination among various minority groups using survey questions from the everyday discrimination scale.

Scientific Questions Being Studied

We will aim to characterize the prevalence of perceived discrimination among various minority groups using survey questions from the everyday discrimination scale.

Project Purpose(s)

  • Social / Behavioral
  • Educational

Scientific Approaches

Summary statistics of the prevalence of discrimination stratified by patient demographics as well as a multivariable analysis to identify factors associated with perceived discrimination

Anticipated Findings

The anticipated findings of the study are that prevalence of perceived discrimination in the All of Us database are increased in certain minority populations when compared to their non-minority peers.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

  • Vishal Patel - Graduate Trainee, University of Texas at Austin

Education

Will be exploring the prevalence of cancer in the All of Us database in order to guide future studies of the All of Us cohort.

Scientific Questions Being Studied

Will be exploring the prevalence of cancer in the All of Us database in order to guide future studies of the All of Us cohort.

Project Purpose(s)

  • Educational

Scientific Approaches

Summary statistics of the prevalence of cancer subtypes stratified by cancer type. Analyses will also include description of prevalence by demographic characteristics

Anticipated Findings

The anticipated findings of the study are that cancer prevalence in the All of Us database are different from those provided using nationally representative databases

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

  • Vishal Patel - Graduate Trainee, University of Texas at Austin
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