operations research mini-course university of washington ______________________________________...

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University of Washington University of Washington _________________________________ _________________________________ _____ _____ Qualitative Qualitative Methods in Methods in Implementation Implementation Science Science ______________________________________ ______________________________________ ______ ______ James Pfeiffer PhD, MPH James Pfeiffer PhD, MPH Department of Global Health Department of Global Health Department of Health Services Department of Health Services School of Public Health School of Public Health July 29, 2011 July 29, 2011

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Page 1: Operations Research Mini-Course University of Washington ______________________________________ Qualitative Methods in Implementation Science ____________________________________________

Operations Research Mini-CourseOperations Research Mini-CourseUniversity of WashingtonUniversity of Washington

____________________________________________________________________________

Qualitative Methods in Qualitative Methods in Implementation ScienceImplementation Science

________________________________________________________________________________________

James Pfeiffer PhD, MPHJames Pfeiffer PhD, MPH

Department of Global HealthDepartment of Global Health

Department of Health ServicesDepartment of Health Services

School of Public HealthSchool of Public Health

July 29, 2011July 29, 2011

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Qualitative data is information that is difficult Qualitative data is information that is difficult to measure, count, or express in numerical to measure, count, or express in numerical terms. This type of data is used in research terms. This type of data is used in research involving detailed, verbal descriptions of involving detailed, verbal descriptions of characteristics, cases, and settings. characteristics, cases, and settings.

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Data which can be categorized in some way Data which can be categorized in some way but which cannot be reduced to numerical but which cannot be reduced to numerical measurements measurements

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Data that is not quantitativeData that is not quantitative

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The question is not The question is not whetherwhether to use qualitative to use qualitative methods in IS, since they are always used in methods in IS, since they are always used in some way. The question is some way. The question is how systematichow systematic should their application be. should their application be.

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Qualitative ResearchQualitative Research

What are qualitative data?What are qualitative data?

Where do we get them and how? How do we Where do we get them and how? How do we analyze them?analyze them?

Why should they be used in IS and how?Why should they be used in IS and how?

Qualitative IS design issues. Qualitative IS design issues.

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Basic MethodsBasic Methods

Individual InterviewsIndividual Interviews

Focus groupsFocus groups

Direct ObservationDirect Observation

Participant-ObservationParticipant-Observation

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Software: What it does and doesn’t doSoftware: What it does and doesn’t do

Atlas.tiAtlas.ti

NVivo/Nud*istNVivo/Nud*ist

CDC EZ textCDC EZ text

AnthropacAnthropac

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Ryan 2004Ryan 2004

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Why and how should we useWhy and how should we use

qualitative methods in IS ?qualitative methods in IS ?

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Mixing Methods/Qual-quantMixing Methods/Qual-quant

Three purposes (Sandelowski):Three purposes (Sandelowski):

Triangulation – convergent validationTriangulation – convergent validation

Complementarity – clarify, explain, elaborateComplementarity – clarify, explain, elaborate

Development – guide additional data collectionDevelopment – guide additional data collection

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MorganMorgan

Priority Decision Priority Decision

QuantitativeQuantitative QualitativeQualitative

Qualitative PreliminaryQual QUANT

Quantitative PreliminaryQuant QUAL

Qualitative follow-upQUANT Qual

Quantitative follow-upQUAL Quant

CompPrelim

CompFollow-up

SequenceDecision

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1.1. Identify and diagnose the problemIdentify and diagnose the problem

2.2. Generate a programmatic solution to solve Generate a programmatic solution to solve problemproblem

3.3. Design and test intervention to solve the Design and test intervention to solve the problemproblem

4.4. Ensure results are used Ensure results are used

5.5. Disseminate resultsDisseminate results

Steps in the IS/OR ProcessSteps in the IS/OR Process

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Example: Loss to Follow-up from HIV Example: Loss to Follow-up from HIV testing to HAART in Mozambiquetesting to HAART in Mozambique

Flow through the HIV care system in Beira and Chimoio, Mozambique, Jun 04 - Sept 05

HIV+

Undergo CD4 testing (78%)

Enroll at HIV clinic (59%)

Eligible for HAART (48%)

Start HAART (46%)

0

100

200

300

400

500

600

700

Ave

rag

e p

atie

nts

per

mo

nth

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Good IS/OR views health programs as Good IS/OR views health programs as interdependent “systems” (2)interdependent “systems” (2)

Local level HIV care system in MozambiqueLocal level HIV care system in Mozambique

– How can we change the system to improve the flow?How can we change the system to improve the flow?– Will improving one step affect other steps?Will improving one step affect other steps?

Testing center HIV clinic

Adhere to HAART

HIV testing

Enroll at HIV clinic

Undergo CD4 testing

Start HAART, if

eligible

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Health programs are complex systemsHealth programs are complex systems

Adhere to HAART

HIV testing

Enroll at HIV clinic

Undergo CD4 testing

Start HAART, if

eligible

Arrives at HIV clinic,

sees receptionist

Schedules doctor

appointment

Doctor orders CD4

Blood drawn for CD4

(sometimes next-day)

Time & drop-off

Time & drop-off

Potential solutionsPotential solutionsCD4 ordered by non-doctors, at enrollment?CD4 ordered by non-doctors, at enrollment?

All blood draws same-day?All blood draws same-day?

CD4 ordered in HIV testing site?CD4 ordered in HIV testing site?

Move CD4s to another site?Move CD4s to another site?

Problems & solutions depend on system

•Staffing

•Lab location, capacity, policies

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1. 1. Identify and diagnose the problemIdentify and diagnose the problem

How much of problem derives How much of problem derives from patient characteristics from patient characteristics vs. system problems?vs. system problems?

Qualitative research approachesQualitative research approaches::- Direct observation- Direct observation- Focus group discussions - Focus group discussions - Individual interviews with - Individual interviews with

health workers/target pop.health workers/target pop.- Map flow from perspective of- Map flow from perspective of

patientspatients

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Why mix methods? Why mix methods?

Triangulation – convergent validationTriangulation – convergent validation

Complementarity – clarify, explain, elaborateComplementarity – clarify, explain, elaborate

Development – guide additional data collectionDevelopment – guide additional data collection

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2.2. Generate a programmatic solution to solve problemGenerate a programmatic solution to solve problem

Qualitative research approachesQualitative research approaches::

- Focus group discussions - Focus group discussions - Participatory Action Research - Participatory Action Research - Individual interviews with health workers/target pop- Individual interviews with health workers/target pop

Examples: Potential systemic solutionsExamples: Potential systemic solutions- CD4 ordered by non-doctors, at enrollment- CD4 ordered by non-doctors, at enrollment- All blood draws same-day- All blood draws same-day- CD4 ordered in HIV testing site- CD4 ordered in HIV testing site- Move CD4s to another site- Move CD4s to another site- Improved health worker training- Improved health worker training- Improved counseling - Improved counseling

Examples: Potential community-based solutionsExamples: Potential community-based solutions- Improved education about testing and treatment.- Improved education about testing and treatment.- Community mobilization strategies for social support.- Community mobilization strategies for social support.

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3. 3. Design and test intervention to solve the problemDesign and test intervention to solve the problem

- - ProcessProcess:: Individual interviewing and direct observation Individual interviewing and direct observation for regular process monitoring and evaluation, and for for regular process monitoring and evaluation, and for identification of unintended consequences of identification of unintended consequences of intervention.intervention.

- - ImpactImpact: Interviews, focus groups, observation combined : Interviews, focus groups, observation combined with quantitative measures to test intervention with quantitative measures to test intervention effectiveness and impacteffectiveness and impact..

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4. 4. Ensure results are used:Ensure results are used:

New research questionNew research question: How to influence policymakers and : How to influence policymakers and program managers?:program managers?:

- Interviews with leaders- Interviews with leaders

- Focus groups with HWs- Focus groups with HWs

- Examine policy documents - Examine policy documents

5. 5. Disseminate results:Disseminate results:

Identify best venues for dissemination to influence policy Identify best venues for dissemination to influence policy and generate discussion through analysis of data gathered and generate discussion through analysis of data gathered using methods above. using methods above.

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Qualitative OR Design IssuesQualitative OR Design Issues

Need to scale design and plan to rapid turnaroundNeed to scale design and plan to rapid turnaround

What mix of qual and quant data will you need?What mix of qual and quant data will you need?

What is your unit of analysis?What is your unit of analysis?

What should your sample strategy and size be to answer the question? What should your sample strategy and size be to answer the question?

Do you need unstructured free flowing responses or structured responses, Do you need unstructured free flowing responses or structured responses, or both?or both?

What contextual data will you need? What contextual data will you need?