J. Med. Internet Res. - Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences.

Tópicos

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Resumo

CKGROUND: Consumer use of mobile devices as health service delivery aids (mHealth) is growing, especially as smartphones become ubiquitous. However, questions remain as to how consumer traits, health perceptions, situational characteristics, and demographics may affect consumer mHealth usage intentions, assimilation, and channel preferences.OBJECTIVE: We examine how consumers' personal innovativeness toward mobile services (PIMS), perceived health conditions, health care availability, health care utilization, demographics, and socioeconomic status affect their (1) mHealth usage intentions and extent of mHealth assimilation, and (2) preference for mHealth as a complement or substitute for in-person doctor visits.METHODS: Leveraging constructs from research in technology acceptance, technology assimilation, consumer behavior, and health informatics, we developed a cross-sectional online survey to study determinants of consumers' mHealth usage intentions, assimilation, and channel preferences. Data were collected from 1132 nationally representative US consumers and analyzed by using moderated multivariate regressions and ANOVA.RESULTS: The results indicate that (1) 430 of 1132 consumers in our sample (37.99%) have started using mHealth, (2) a larger quantity of consumers are favorable to using mHealth as a complement to in-person doctor visits (758/1132, 66.96%) than as a substitute (532/1132, 47.00%), and (3) consumers' PIMS and perceived health conditions have significant positive direct influences on mHealth usage intentions, assimilation, and channel preferences, and significant positive interactive influences on assimilation and channel preferences. The independent variables within the moderated regressions collectively explained 59.70% variance in mHealth usage intentions, 60.41% in mHealth assimilation, 34.29% in preference for complementary use of mHealth, and 45.30% in preference for substitutive use of mHealth. In a follow-up ANOVA examination, we found that those who were more favorable toward using mHealth as a substitute for in-person doctor visits than as a complement indicated stronger intentions to use mHealth (F1,702=20.14, P<.001) and stronger assimilation of mHealth (F1,702=41.866, P<.001).CONCLUSIONS: Multiple predictors are shown to have significant associations with mHealth usage intentions, assimilation, and channel preferences. We suggest that future initiatives to promote mHealth should shift targeting of consumers from coarse demographics to nuanced considerations of individual dispositions toward mobile service innovations, complementary or substitutive channel use preferences, perceived health conditions, health services availability and utilization, demographics, and socioeconomic characteristics.

Resumo Limpo

ckground consum use mobil devic health servic deliveri aid mhealth grow especi smartphon becom ubiquit howev question remain consum trait health percept situat characterist demograph may affect consum mhealth usag intent assimil channel preferencesobject examin consum person innov toward mobil servic pim perceiv health condit health care avail health care util demograph socioeconom status affect mhealth usag intent extent mhealth assimil prefer mhealth complement substitut inperson doctor visitsmethod leverag construct research technolog accept technolog assimil consum behavior health informat develop crosssect onlin survey studi determin consum mhealth usag intent assimil channel prefer data collect nation repres us consum analyz use moder multivari regress anovaresult result indic consum sampl start use mhealth larger quantiti consum favor use mhealth complement inperson doctor visit substitut consum pim perceiv health condit signific posit direct influenc mhealth usag intent assimil channel prefer signific posit interact influenc assimil channel prefer independ variabl within moder regress collect explain varianc mhealth usag intent mhealth assimil prefer complementari use mhealth prefer substitut use mhealth followup anova examin found favor toward use mhealth substitut inperson doctor visit complement indic stronger intent use mhealth f p stronger assimil mhealth f pconclus multipl predictor shown signific associ mhealth usag intent assimil channel prefer suggest futur initi promot mhealth shift target consum coars demograph nuanc consider individu disposit toward mobil servic innov complementari substitut channel use prefer perceiv health condit health servic avail util demograph socioeconom characterist

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