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. 2019 Jun 6;20:329. doi: 10.1186/s13063-019-3439-8

Table 5.

Framework for the integration of innovative qualitative methods into randomised controlled trials of complex health interventions

Categories adapted from CONSORT Methodological Challenge Threats to design or results Type of bias Validity affected Qualitative research solution Examples of qualitative methods
Background and setting Ensure relevance of the problem to the context Affects applicability, acceptability, sustainability and transferability of potential positive findings N/A External To identify social, cultural, health, economic or political factors that might affect uptake and sustainability of positive results Direct observation, ideally in-depth but if time or resources are limited, as part of a rapid ethnographic appraisal or Broad Brush Survey
Obtain buy-in from stakeholders Reduces translation and sustainability of results into changes in policy and practices N/A External To overcome potential barriers to implementation and promote uptake of intervention In-depth interviews with policymakers and stakeholders | Document analysis
Intervention design and compliance Ensure cultural acceptability and practical feasibility of the intervention Impacts adherence and increases number of drop-outs Adherence Withdrawal Internal To tailor intervention in order to increase retention and adherence Diary methods – via Interactive voice responses or SMS
Recruitment and enrolment Guarantee representativeness of the sample and efficient recruitment methods Risks achieving the required sample size to detect significant effect Selection

Internal

External

To determine the best possible recruitment method to reach target population Community mapping | Spiral walks
Randomization and allocation Guarantee balanced randomization Reduces comparability between groups

Selection

Confounding

Internal

External

To identify contextual factors that can affect the effect of the intervention and reduce comparability between groups Observation | Public randomization
Participant follow-up Minimize the number of participants leaving the study Enables unequal loss of participants between groups which can affect causal inference

Attrition

Confounding (if differential attrition between trial arms)

Internal

External

To prevent or understand reasons for loss to follow-up and improve retention strategies Diary methods, mobile-based methods such as interactive voice response on SMS / WhatsApp | peer support for adherence
Improve adherence to the intervention Modifies the magnitude/direction of effect Adherence Internal To understand reasons for non-adherence to the intervention
Data collection Enhance reliability and quality of data Allows inconsistent or unreliable measurements which can affect the observed magnitude and direction of the effect Instrument Internal To avoid or identify errors in the measurement and data collection process. Co-designing measurement tools with participants | Qualitative tool validation
Maintain objectivity during the data collection process Threatens the validity of the data collected and/or measured to answer the objective

Instrument

Recall

Social desirability

Internal To assess and validate the process of data collection.

FGD with prompts such as flashcards or images

Pair interviews and role playing

Analysis and results Identify the mechanisms underpinning the effect of the intervention Limits an informed discussion of the results (negative or positive) N/A External To triangulate the quantitative findings and identify contextual information that may have affected the results Participatory Analysis methods

Abbreviations: CONSORT Consolidated Standards of Reporting Trials, N/A not applicable, SMS short message service.