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 Health Services Research Doctoral Training Competencies: A ...

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file time: 2008-02-16

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Health Services Research  
Doctoral Training Competencies 

Christopher B. Forrest, MD, PhD

Johns Hopkins Bloomberg School of Public Health 

Erin Holve, MPH, MPP

Johns Hopkins Bloomberg School of Public Health 

Diane Martin, PhD

University of Washington School of Public Health 

Funding: Health Services Research Doctoral Training Competencies Conference sponsored by AHRQ R13 HS016070-01, Baltimore, MD, Sept 8-9, 2005

 

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Content 

Context & Statement of Problem  
Methods  
Core Competencies  
Discussion and Next Steps  

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Context 

HSR is a scientific field with an emerging professional identify. But, No common approach to educating HSR professionals. No common set of skills and knowledge bases.  
We need to elucidate the knowledge base and skills needed to be a successful health services researcher.  
Why? To aid in defining the field. To communicate to employers and students the unique expertise of health services researchers. To develop similar competence among graduates from various programs. Other reasons (curricula development, continuing education, etc.).  

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Goal of the Competency Project 

To develop HSR core competencies: 

A minimum set  
Common to all HSR professionals  
That most programs could implement  

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HSR Core Competency 

A knowledge-based or skill-based asset that all doctoral trainees in Health Services Research should acquire during their training. Core competencies are the common denominator across all training programs. They are the skills and knowledge sets that all graduates of HSR training programs should have when they finish their doctoral training.  
 

 

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Example of Competency Levels:  
Health Disparities 

Awareness

Describe health disparities and their origins. 

(2) Critique and Explain

   Critique alternative explanations for the origins of disparities. 

(3) Integrate and Innovate

   Propose health system solutions to health disparities.

 

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Methods Used to Develop  
Core Competencies

 

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Initial Workplan and Timeline 

Council on Education for Public Health (CEPH) Self-Studies (n=27 schools) 

Job Postings

(n=320) 

T32 Training Grants (n=14) 

Degree and Title Review from AH Membership File        (n=3,623) 

Continuing Ed. Options for HSR Professionals 
 
 

Sample of Universities with HSR PhD Programs. Review for major categories, themes 
 

Professional identities according to AH members. Distribution of degrees held within major categories:  HSR, policy analyst, physician, etc. 

Summary of course offerings and objectives with emphasis on highly requested skills and topics 

Review of member survey conducted by Academy Health with attention to professional development needs 

Summary of Academy Health Member Survey (n= 1,793) 

Literature Review 

August 2004 

October/November/December  2004 

January 2005 

July 2004 
 
 

Plan for Structured Analysis of Skills/

Behaviors/ Knowledge Bases / Competencies  
 
 
 
 
 

Review and revise occupational categories and classification of skills. 
 

Summarize

documents

 

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Literature Review  

Followed Cochrane Collaborative protocol, reviewing peer and non-peer reviewed literature Major keywords 00ompetencies00 00ealth services00 00ealth policy00and 00ealth systems administration00 Most material focused on objectives for management training rather than research No specific literature on health services or health policy competencies  

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T32 Training Programs 

Reviewed 14 AHRQ-Sponsored Institutional Training Grant Programs in HSR (T32) Learning objectives for doctoral training are not a requirement of NIH or AHRQ-funded training programs. No grant applications contained learning objectives for doctoral training or sufficient information to infer learning objectives or training competencies  

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Competency Review:  
Taxonomy of Learning Objectives 

Interobserver Agreement = 93%

Disagreement arbitrated by PI 

CEPH-Accreditation Self-studies section V.C. 00earning Objectives

(n=21 HSR PhD Programs) 

Observer 1:

Learning Objectives entered into MS Excel 

Learning Objectives transferred to Atlas ti 5.0 (text analysis software)

(n=650) 

Observer 2:

Learning Objectives entered into MS Excel 

PI Reviews full set of competencies and summarizes into domains and core competencies: Develop

Initial Taxonomy 

Revised Taxonomy Based on Work Group Comments (Current v.3)  

JHU and U Wash Faculty Review and Comment on Taxonomy

(v2) 

Final Taxonomy Based on Meeting

 

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Health Services Research Doctoral Training Competencies Conference  

Objectives: To provide a forum for exploring the possibility of developing core competencies for the field;  
To produce a consensus-derived set of knowledge-based and skills-based HSR doctoral training competencies and their content areas.  

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Organizations Attending the HSR Competency Conference 

AcademyHealth CEPH AHRQ BC/BS National Association Boston University CMS Harvard University Johns Hopkins University Urban Health Institute  
Mathematica Texas A&M University of Alabama University of CA-Berkley University of Michigan University of Minnesota University of NC-Chapel Hill University of Washington Students from 4 programs  

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Core Competencies

 

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HSR Core Competencies: Summary 

Breadth of HSR theoretical and conceptual knowledge In-depth disciplinary knowledge and skills Application of HSR foundational knowledge to health policy problems Pose innovative HSR questions Interventional and Observational Study Designs Primary data collection methods Secondary data acquisition methods  
Conceptual models and operational measures Implementation of research protocols Responsible conduct of research Multi-disciplinary teamwork Data analysis Scientific communication Stakeholder collaboration and knowledge translation  

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(1) Breadth of HSR theoretical and conceptual knowledge  

Know how to apply alternative theoretical and conceptual models from a range of relevant disciplines to HSR.  

Comments

1. All health services researchers should be versed in a wide range of

theoretical and conceptual frameworks. 

The work group felt that programs could define the range of disciplines

and fields.  As a field, we have not yet defined these.

 

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(2) In-depth disciplinary knowledge and skills  

Apply in-depth disciplinary knowledge and skills relevant to health services research.  

Comments

Each HSR professional should have expertise in at least one discipline

or interdisciplinary area, and should be able to apply this expertise in an

independent research project. 

The work group left unresolved the question of whether HSR itself is a

field or discipline.

 

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(3) Application of HSR foundational knowledge to health policy problems  

Use knowledge of the structures, performance, quality, policy, and environmental context of health and health care to formulate solutions for health policy problems.  

Comments

HSR has a common foundational knowledge.  

2.  HSR professionals should be able to synthesize this knowledge to

create novel solutions to vexing health policy problems.

 

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(4) Pose Innovative HSR Questions 

Pose innovative and important research questions, informed by systematic reviews of the literature, stakeholder needs, and relevant theoretical and conceptual models.  

Comments

Literature review techniques are a competency.  

2.  Knowing how to include stakeholders into research question development

is a critically important skill.

 

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(5) Interventional and Observational Study Designs  

Select appropriate interventional (experimental and quasi-experimental) or observational (qualitative, quantitative, or mixed methods) study designs to address specific health services research questions.  

Comments

Knowledge of qualitative and mixed methods research is an important skill.  

2.  Quasi-experimental designs distinguish HSR from other quantitative fields

in public health, such as epidemiology.

 

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(6) Primary data collection methods  

Know how to collect primary health and health care data obtained by survey, qualitative, or mixed methods.  

Comments

The level of competence in primary data collection was a large point of

discussion during the competency conference.  We agreed on an intermediate

level for both primary and secondary data analysis; however, there was a

minority opinion that simply 00nowing about00primary data collection may be

adequate for some HSRers (e.g., health economists who conduct secondary

data analysis exclusively).

 

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(7) Secondary data acquisition methods  

Know how to assemble secondary data from existing public and private sources.  

Comments

Manipulation of existing data is a strength of HSR. The types of data-sets

that HSRers have expertise in is a distinguishing characteristic of the field. 

There was less contention on the importance of secondary data

acquistion than there was for primary data collection.

 

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(8) Conceptual models and operational measures  

Use a conceptual model to specify study constructs for a health services research question and develop variables that reliably and validly measure these constructs.  

Comments

This competency was not contentious and is relevant for many fields of

social science research.

 

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(9) Implementation of research protocols  

Implement research protocols with standardized procedures that ensure reproducibility of the science.  

Comments

Learning how to create 00lectronic research records00was seen as an

important new competency for future HSR professionals.

 

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(10) Responsible conduct of research  

Ensure the ethical and responsible conduct of research in the design, implementation, and dissemination of health services research.  

Comments

The competency should address both existing and newly created

data sources.

 

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(11) Multi-disciplinary teamwork  

Work collaboratively in multi-disciplinary teams.  

Comments

Although HSR is characterized by multi-disciplinary teams and most

thought that this competency was important, there was a sense that the

roadmap for how to teach it was unclear.

 

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(12) Data analysis  

Use appropriate analytical methods to clarify associations between variables and to delineate causal inferences.  

Comments

The specific techniques could be statistical, economic, or other types of

analysis.  The competency intentionally does not specify which set.

 

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(13) Scientific communication  

Effectively communicate the findings and implications of health services research through multiple modalities to technical and lay audiences.  

Comments

Communication refers to both written and oral formats.  

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(14) Stakeholder collaboration and knowledge translation  

Understand the importance of collaborating with policymakers, organizations, and communities to plan, conduct, and translate health services research into policy and practice.  

Comments

The importance of including stakeholders is emphasized in this

TRIP competency.

 

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Essential HSR Educational Domains for the Core Competencies 

Health Financing of health care Organization of health care Health policy Health care seeking, access and use Quality of care Data acquisition and quality control Research ethics Teamwork Proposal development Dissemination  
 
Health informatics Scientific method and theory Literature review Study design Survey research Qualitative research HSR data sources Measurement and variables Advanced HSR analytic techniques Economic evaluation and decision sciences  

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Optional HSR Educational Domains for the Core Competencies 

Health policy analysis Health care law Ethics and health care Quality improvement applications  
 
Health care decision-making Project management Professional development Pedagogy  

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HSR Doctoral Education Next Steps 

Diane Martin, PhD

University of Washington 

 

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Continuing the Dialog 
 

Presentations NRSA Trainees Conference, June 24 Academy Health, June 26 APHA, November 6  
Journal article submission to HSR  

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Program Discussions 

Discuss among faculty  
Discuss with students  
Draft competencies or modify existing competencies  
Map competencies to courses or experiential learning  

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Program Considerations 

Program faculty interests and expertise Admissions: bachelor vs master Work independently & in multidisciplinary teams Traditional dissertation vs journal articles Average time to completion; # yrs coursework  

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HSR Doctoral Education 

Past Experience & Training 

Doctoral Courses & Seminars

General requirements Specific Concentration Electives  

Required Exams & Other Benchmarks 

Research & Policy Experience

RA, independent study 00 multi-disciplinary team Dissertation 00independent leadership  

Successful HSR Graduate 

Mentorship

Faculty Research & Policy Partners Peers  

Professional Development & Socialization into HSR 

Teaching Experience

 

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Delivery of Competencies 
 

Deliver competencies via didactic courses, seminars, indep. study, field work, dissertation project  
Competencies delivered in short courses by experts  
Doctoral e-learning?  

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Assessment 

Course grades, field work assessments Program exams: qualifying exams; comprehensive exams; defense of dissertation proposal; dissertation defense Faculty and university review Alumni jobs, grants, publications Employer feedback about alumni  

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Promising Practices  
 

Innovative financial support Shared curriculum across universities Student experiences: mentoring, prof. development, teamwork, field exp. Partnerships: industry, gov00., HSR orgs., other academic institutions, community groups

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