The Use and Evaluations of IT in Chronic Disease Management

2011 ◽  
pp. 1075-1092
Author(s):  
Julia Adler-Milstein ◽  
Ariel Linden
Keyword(s):  
Information Technology ◽  
Chronic Disease ◽  
Disease Management ◽  
Information Technologies ◽  
Chronic Disease Management ◽  
Program Effectiveness ◽  
Management Program ◽  
Evaluation Strategies ◽  
Broad Array ◽  
The Impact

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.

The Use and Evaluations of IT in Chronic Disease Management

2011 ◽  
pp. 1-18
Author(s):  
Julia Adler-Milstein ◽  
Ariel Linden
Keyword(s):  
Information Technology ◽  
Chronic Disease ◽  
Disease Management ◽  
Information Technologies ◽  
Chronic Disease Management ◽  
Program Effectiveness ◽  
Management Program ◽  
Evaluation Strategies ◽  
Broad Array ◽  
The Impact

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.

The implementation of a chronic disease management program (Prolanis) in Indonesia: a literature review

2019 ◽  
Vol 30 (6) ◽  
Author(s):  
Sesty Rachmawati ◽  
Hanni Prihhastuti-Puspitasari ◽  
Elida Zairina
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Literature Review ◽  
Disease Management Program ◽  
Social Insurance ◽  
Chronic Disease Management ◽  
Healthcare Services ◽  
Management Program ◽  
Healthcare Facilities ◽  
The Impact

Abstract Background The Chronic Disease Management Program or Program Pengelolaan Penyakit Kronis (Prolanis) is a program initiated by the Social Insurance Administration Organization or Badan Penyelenggara Jaminan Social (BPJS) in Indonesia. Prolanis aim to provide a proactive healthcare service approach for patients with chronic diseases particularly those with diabetes mellitus and hypertension. Prolanis also aims to achieve the optimal quality of life in patients with chronic disease through effective and efficient healthcare services including cost. All primary healthcare centers and a few of the private clinics in Indonesia have implemented Prolanis, however, the impact of the program has not been reviewed. This review aimed to see the implementation of Prolanis in healthcare facilities in Indonesia. Methods A literature review was conducted by searching articles through Google Scholar and PubMed databases up to August 2019. The following keywords or terms were used: Prolanis, BPJS indexed with terms related to blood pressure or hypertension in Indonesia. The references, citations and similar articles from the identified articles were used to identify additional sources. Results Twenty-four articles were identified through the first search using the key terms although only eight articles met the inclusion criteria. This review showed that the implementation of Prolanis in the healthcare facilities in Indonesia was varied in terms of the activities and services provided. The healthcare professional involved in the implementation of Prolanis were also varied. There were some barriers faced by the healthcare facilities including the availability of funding, the healthcare facilities and infrastructures, the unavailability of standard operating orocedures (SOPs) as well as the limitation of human resources involved in Prolanis. Conclusions The implementation of Prolanis in Indonesia has not been optimized, as there were some barriers during its implementation in the healthcare facilities.

scholarly journals Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

10.2196/15927 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e15927
Author(s):  
Scott Sittig ◽  
Jing Wang ◽  
Sriram Iyengar ◽  
Sahiti Myneni ◽  
Amy Franklin
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Mobile Health ◽  
Self Efficacy ◽  
Chronic Disease Management ◽  
Text Messages ◽  
Feasibility Trial ◽  
Significant Difference ◽  
Within Subjects ◽  
The Impact

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

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