Medicine Return System

Published: 3 August 2026| Version 1 | DOI: 10.17632/w3vtscpshg.1
Contributors:
UBADA AQEEL,

Description

This dataset contains raw survey responses (N = 327) collected from consumers in the Delhi National Capital Region, India, examining household attitudes and intentions toward returning unused or expired medicines. The survey integrates constructs from the Value-Adoption Model (VAM) and the Theory of Planned Behaviour (TPB) to model medicine-return intention as a function of perceived value, institutional trust, regulatory assurance, attitude, subjective norm, perceived behavioural control, and infrastructure availability. The spreadsheet contains 36 columns: 31 items measured on 5-point Likert scales (1 = strongly disagree to 5 = strongly agree), covering ten constructs — Attitude (ATT1–ATT4), Trust (TR1–TR3), Perceived Behavioural Control (PBC1–PBC3), Perceived Benefits (PB1–PB3), Perceived Sacrifices (PS1–PS3), Behavioural Intention (INT1–INT3), Infrastructure Availability (IA1–IA3), Subjective Norm (SN1–SN3), Perceived Regulatory Assurance (PRA1–PRA3), and Perceived Value (PV1–PV3) — plus five demographic/screening variables: gender, age group, education level, presence of a chronic condition requiring regular medication in the household, and usual disposal method for unused or expired medicines. Data were collected via a mixed online and offline self-administered questionnaire using convenience and purposive sampling. No personally identifying information was collected; participation was voluntary and anonymous. The dataset supports the partial least squares structural equation modelling (PLS-SEM) analysis reported in the associated manuscript, "Value, Trust and Infrastructure: A Consumer Decision Process Model of Medicine Return Intention."

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