scholarly journals Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service

2022 ◽  
Vol 34 (4) ◽  
pp. 1-23
Author(s):  
Zhangxiang Zhu ◽  
Yongmei Liu ◽  
Xianye Cao ◽  
Wei Dong

The Mobile Chronic Disease Management Service (MCDMS) is an emerging medical service for chronic disease prevention and treatment, but limited attention has been paid to the factors that affect users’ intention to adopt the service. Based on the unified theory of acceptance and use of technology 2 and the protection motivation theory, the authors built an MCDMS adoption model. The authors also verified the differentiating age effect on the service adoption intention from experiential distance perspective of the construal level theory. Empirical results showed that the young group focused more on the impact of effort expectancy, whereas the elderly group focused more on performance expectancy, imitating others, and perceived severity. Furthermore, the young group, however, focused more on the impact of perceived vulnerability, and offline medical habits showed no significant influence on either group’s intention to adopt, which were not consistent with the original hypotheses. The findings can aid MCDMS providers in selecting marketing strategies targeted toward different age groups.

2012 ◽  
Vol 2012 ◽  
pp. 1-7
Author(s):  
Kay Jones ◽  
Trisha Dunning ◽  
Beth Costa ◽  
Kristine Fitzgerald ◽  
Akuh Adaji ◽  
...  

Background. In Australia most chronic disease management is funded by Medicare Australia through General Practitioner Management Plans (GPMPs) and Team Care Arrangements (TCAs). Identified barriers may be reduced effectively using a broadband-based network known as the Chronic Disease Management Service (CDMS). Aims. To measure the uptake and adherence to CDMS, test CDMS, and assess the adherence of health providers and patients to GPMPs and TCAs generated through CDMS. Methods. A single cohort before and after study. Results. GPMPs and TCAs increased. There was no change to prescribed medicines or psychological quality of life. Attendance at allied health professionals increased, but decreased at pharmacies. Overall satisfaction with CDMS was high among GPs, allied health professionals, and patients. Conclusion. This study demonstrates proof of concept, but replication or continuation of the study is desirable to enable the impact of CDMS on diabetes outcomes to be determined.


10.2196/15927 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e15927
Author(s):  
Scott Sittig ◽  
Jing Wang ◽  
Sriram Iyengar ◽  
Sahiti Myneni ◽  
Amy Franklin

Background Although there is a rise in the use of mobile health (mHealth) tools to support chronic disease management, evidence derived from theory-driven design is lacking. Objective The objective of this study was to determine the impact of an mHealth app that incorporated theory-driven trigger messages. These messages took different forms following the Fogg behavior model (FBM) and targeted self-efficacy, knowledge, and self-care. We assess the feasibility of our app in modifying these behaviors in a pilot study involving individuals with diabetes. Methods The pilot randomized unblinded study comprised two cohorts recruited as employees from within a health care system. In total, 20 patients with type 2 diabetes were recruited for the study and a within-subjects design was utilized. Each participant interacted with an app called capABILITY. capABILITY and its affiliated trigger (text) messages integrate components from social cognitive theory (SCT), FBM, and persuasive technology into the interactive health communications framework. In this within-subjects design, participants interacted with the capABILITY app and received (or did not receive) text messages in alternative blocks. The capABILITY app alone was the control condition along with trigger messages including spark and facilitator messages. A repeated-measures analysis of variance (ANOVA) was used to compare adherence with behavioral measures and engagement with the mobile app across conditions. A paired sample t test was utilized on each health outcome to determine changes related to capABILITY intervention, as well as participants’ classified usage of capABILITY. Results Pre- and postintervention results indicated statistical significance on 3 of the 7 health survey measures (general diet: P=.03; exercise: P=.005; and blood glucose: P=.02). When only analyzing the high and midusers (n=14) of capABILITY, we found a statistically significant difference in both self-efficacy (P=.008) and exercise (P=.01). Although the ANOVA did not reveal any statistically significant differences across groups, there is a trend among spark conditions to respond more quickly (ie, shorter log-in lag) following the receipt of the message. Conclusions Our theory-driven mHealth app appears to be a feasible means of improving self-efficacy and health-related behaviors. Although our sample size is too small to draw conclusions about the differential impact of specific forms of trigger messages, our findings suggest that spark triggers may have the ability to cue engagement in mobile tools. This was demonstrated with the increased use of capABILITY at the beginning and conclusion of the study depending on spark timing. Our results suggest that theory-driven personalization of mobile tools is a viable form of intervention. Trial Registration ClinicalTrials.gov NCT04132089; http://clinicaltrials.gov/ct2/show/NCT004122089


2003 ◽  
Vol 18 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Jane V. White ◽  
Daniel E. Brewer ◽  
M. David Stockton ◽  
Donald S. Keeble ◽  
Amy J. Keenum ◽  
...  

Author(s):  
Srikar Sama ◽  
Alekhya Gajjala

Routine care for chronic disease is an ongoing major challenge. We aimed to evaluate the impact of COVID-19 on routine care for chronic diseases. A deeper understanding helps to increase the health system’s resilience and adequately prepare for the next waves of the pandemic. Diabetes, heart failure, chronic kidney disease, and hypertension were the most impacted conditions due to the reduction in access to care. It is important routine care continues in spite of the pandemic, to avoid a rise in non-COVID-19-related morbidity and mortality. This is a review article discussing the potential impact of COVID-19 on chronic disease management.


2011 ◽  
pp. 1075-1092
Author(s):  
Julia Adler-Milstein ◽  
Ariel Linden

This chapter describes the broad array of information technologies currently used in programs that manage individuals with chronic diseases and discusses evaluation strategies to assess the impact of implementing programs that incorporate such technologies. More specifically, it describes the three components of a chronic disease management program and then details the technologies commonly used in each component. Three evaluation designs well-suited to measure DM program effectiveness are also discussed. The intent of this chapter is to educate readers on the range of approaches to incorporating information technology into chronic disease management and the most appropriate evaluation designs that will strengthen the understanding of which approaches are most successful.


2018 ◽  
Vol 37 (1) ◽  
pp. 90-98 ◽  
Author(s):  
Niharika Bhardwaj ◽  
Bezawit Wodajo ◽  
Anthony Spano ◽  
Symaron Neal ◽  
Alberto Coustasse

2019 ◽  
Author(s):  
Scott Sittig ◽  
Jing Wang ◽  
Sriram Iyengar ◽  
Sahiti Myneni ◽  
Amy Franklin

BACKGROUND Although there is a rise in the use of mobile health (mHealth) tools to support chronic disease management, evidence derived from theory-driven design is lacking. OBJECTIVE The objective of this study was to determine the impact of an mHealth app that incorporated theory-driven trigger messages. These messages took different forms following the Fogg behavior model (FBM) and targeted self-efficacy, knowledge, and self-care. We assess the feasibility of our app in modifying these behaviors in a pilot study involving individuals with diabetes. METHODS The pilot randomized unblinded study comprised two cohorts recruited as employees from within a health care system. In total, 20 patients with type 2 diabetes were recruited for the study and a within-subjects design was utilized. Each participant interacted with an app called capABILITY. capABILITY and its affiliated trigger (text) messages integrate components from social cognitive theory (SCT), FBM, and persuasive technology into the interactive health communications framework. In this within-subjects design, participants interacted with the capABILITY app and received (or did not receive) text messages in alternative blocks. The capABILITY app alone was the control condition along with trigger messages including spark and facilitator messages. A repeated-measures analysis of variance (ANOVA) was used to compare adherence with behavioral measures and engagement with the mobile app across conditions. A paired sample <i>t</i> test was utilized on each health outcome to determine changes related to capABILITY intervention, as well as participants’ classified usage of capABILITY. RESULTS Pre- and postintervention results indicated statistical significance on 3 of the 7 health survey measures (general diet: <i>P</i>=.03; exercise: <i>P</i>=.005; and blood glucose: <i>P</i>=.02). When only analyzing the high and midusers (n=14) of capABILITY, we found a statistically significant difference in both self-efficacy (<i>P</i>=.008) and exercise (<i>P</i>=.01). Although the ANOVA did not reveal any statistically significant differences across groups, there is a trend among spark conditions to respond more quickly (ie, shorter log-in lag) following the receipt of the message. CONCLUSIONS Our theory-driven mHealth app appears to be a feasible means of improving self-efficacy and health-related behaviors. Although our sample size is too small to draw conclusions about the differential impact of specific forms of trigger messages, our findings suggest that spark triggers may have the ability to cue engagement in mobile tools. This was demonstrated with the increased use of capABILITY at the beginning and conclusion of the study depending on spark timing. Our results suggest that theory-driven personalization of mobile tools is a viable form of intervention. CLINICALTRIAL ClinicalTrials.gov NCT04132089; http://clinicaltrials.gov/ct2/show/NCT004122089


2020 ◽  
Vol 8 (1) ◽  
pp. 14-21
Author(s):  
James Maladi Akbar ◽  
Sharon Gondodiputro ◽  
Ardini Saptaningsih Raksanagara

Objective: To identify the satisfaction level of the elderly on the health services provided by The Chronic Disease Management Program (prolanis) at the Public Health Center (puskesmas). Methods: A descriptive quantitative study with a cross-sectional approach had been carried out to 112 elderly from 8 puskesmas in Bandung City, West Java, Indonesia. This study was conducted from August until November 2019. The variables in this study were 5 dimensions of the SERVQUAL. The collected data were analyzed using percentages and the Importance-Performance matrix. Results: The satisfaction level of the elderly on the health services provided by the prolanis was 92%. The dimension that has the highest satisfaction level was the assurance dimension (94,6%) and the lowest one was the tangibles dimension (84,8%). The result of the importance-performance matrix showed that assurance, responsiveness, and empathy dimensions needed to be maintained to reach the patient’s satisfaction. Conclusions: The elderly satisfaction on the health services provided by the prolanis is high in every dimension of the SERVQUAL.


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