Applying an extended theoretical framework for data collection mode to health services research

Area of Science:

• Health research methodology
• Survey methodology
• Psychological research

Background:

• Technological advancements have increased options for collecting self-reported health data.
• Data collection modes (e.g., face-to-face, telephone) can influence individual responses in surveys.
• Existing frameworks for understanding mode effects are adapted for health research contexts.

Purpose of the Study:

• To adapt and apply a framework for understanding mode effects on response quality in health research.
• To analyze how different data collection features influence the quality of responses.
• To discuss implications for managing mode effects in health studies.

Main Methods:

• Adaptation of a general framework for understanding mode effects.
• Application of the framework to health research scenarios.
• Discussion of psychological appraisal and response processes related to survey modes.

Main Results:

• Data collection modes possess distinct features (e.g., self-administered, computerised, visual/aural presentation).
• Psychological appraisal (cognitive burden, participation considerations) and response processes mediate mode effects.
• Respondent and construct characteristics (e.g., sensitivity, demographics) can interact with mode features.

Conclusions:

• Mode features demonstrably affect response quality in research.
• Evidence from social sciences is relevant to health research on mode effects.
• Greater consideration and clearer reporting of data collection mode features are needed in health studies.