Reporting health data in waiting rooms with mobile technology: Patient expectation and confirmation

Abstract Objectives Hospitals and medical staff use digital devices such as mobile phones tablets to treat patients. Prior research has examined patient-reported outcomes, the of do diagnosis prognosis patients, but not whether patients like using, intend in future, self-report data. We address this gap by developing a theoretical model based on expectancy confirmation (ECM) testing it an empirical study using technology Design This adopts non-interventional cross-sectional design. Randomly-selected provided data via survey physical measurements. The target population comprises adults visiting healthcare laboratory get their blood drawn. Materials Methods surveyed 190 randomly-selected waiting for treatment clinic. They were at two points time – before after was drawn demographic characteristics, variables concerning provide information, perceived clinical (blood pressure, height weight). tested structural equation modeling. Results found strong support model, with seven eight hypotheses being supported. Both self-disclosure effort feedback expectation positively affect both quality confirmation. Contrary expectations, Perceived quality, along confirmation, satisfaction, which intention disclose through technology. Conclusions study’s findings proposed path from satisfaction disclosure intention. Although does affects satisfaction. Overall, we believe results novel insights scientific community practitioners about technologies self-reporting