Nurse-led chronic disease management in general practice: a mixed methods evaluation of the impact on patients’ health

2013 ◽  
Author(s):  
Jacqueline Young
Keyword(s):  
General Practice ◽  
Mixed Methods ◽  
Chronic Disease ◽  
Disease Management ◽  
Chronic Disease Management ◽  
Mixed Methods Evaluation ◽  
The Impact

scholarly journals Computer Assisted Chronic Disease Management: Does It Work? A Pilot Study Using Mixed Methods

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Kay M. Jones ◽  
Ruby Biezen ◽  
Leon Piterman
Keyword(s):  
General Practice ◽  
Mixed Methods ◽  
Chronic Disease ◽  
Disease Management ◽  
Chronic Disease Management ◽  
Management Tool ◽  
Computer Assisted ◽  
Team Approach ◽  
Care Plans ◽  
Breakthrough Series

Background. Key factors for the effective chronic disease management (CDM) include the availability of practical and effective computer tools and continuing professional development/education. This study tested the effectiveness of a computer assisted chronic disease management tool, a broadband-based service known as cdmNet in increasing the development of care plans for patients with chronic disease in general practice. Methodology. Mixed methods are the breakthrough series methodology (workshops and plan-do-study-act cycles) and semistructured interviews. Results. Throughout the intervention period a pattern emerged suggesting GPs use of cdmNet initially increased, then plateaued practice nurses’ and practice managers’ roles expanded as they became more involved in using cdmNet. Seven main messages emerged from the GP interviews. Discussion. The overall use of cdmNet by participating GPs varied from “no change” to “significant change and developing many the GPMPs (general practice management plans) using cdmNet.” The variation may be due to several factors, not the least, allowing GPs adequate time to familiarise themselves with the software and recognising the benefit of the team approach. Conclusion. The breakthrough series methodology facilitated upskilling GPs’ management of patients diagnosed with a chronic disease and learning how to use the broadband-based service cdmNet.

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

Outcomes and opportunities: a nurse-led model of chronic disease management in Australian general practice

2013 ◽  
Vol 19 (2) ◽  
pp. 150 ◽  
Author(s):  
Diann S. Eley ◽  
Elizabeth Patterson ◽  
Jacqui Young ◽  
Paul P. Fahey ◽  
Chris B. Del Mar ◽  
...  
Keyword(s):  
Quality Of Life ◽  
General Practice ◽  
Chronic Disease ◽  
Disease Management ◽  
Chronic Disease Management ◽  
Models Of Care ◽  
Practice Nurses ◽  
Australian General Practice ◽  
General Practices

The Australian government’s commitment to health service reform has placed general practice at the centre of its agenda to manage chronic disease. Concerns about the capacity of GPs to meet the growing chronic disease burden has stimulated the implementation and testing of new models of care that better utilise practice nurses (PN). This paper reports on a mixed-methods study nested within a larger study that trialled the feasibility and acceptability of a new model of nurse-led chronic disease management in three general practices. Patients over 18 years of age with type 2 diabetes, hypertension or stable ischaemic heart disease were randomised into PN-led or usual GP-led care. Primary outcomes were self-reported quality of life and perceptions of the model’s feasibility and acceptability from the perspective of patients and GPs. Over the 12-month study quality of life decreased but the trend between groups was not statistically different. Qualitative data indicate that the PN-led model was acceptable and feasible to GPs and patients. It is possible to extend the scope of PN care to lead the routine clinical management of patients’ stable chronic diseases. All GPs identified significant advantages to the model and elected to continue with the PN-led care after our study concluded.

Building quality chronic illness care: implementation of a web-based care plan

2020 ◽  
Vol 26 (2) ◽  
pp. 173
Author(s):  
Shiva Vasi ◽  
Jenny Advocat ◽  
Akuh Adaji ◽  
Grant Russell
Keyword(s):  
Primary Care ◽  
General Practice ◽  
Chronic Disease ◽  
Disease Management ◽  
Chronic Disease Management ◽  
New Technologies ◽  
Participant Observation ◽  
Care Plan ◽  
Structured Interviews ◽  
Structured Approach

Structured, multidisciplinary approaches to chronic disease management (CDM) in primary care, supported by eHealth tools, show improved clinical outcomes, yet the uptake of eHealth tools remains low. The adoption of cdmNet, an eHealth tool for chronic disease management, in general practice settings, was explored. This was a qualitative case study in three general practice clinics in Melbourne, Australia. Methods included non-participant observation, reflexive note taking and semi-structured interviews with GPs, non-GP clinical staff, administrative staff and patients with chronic conditions. Data were analysed iteratively and results were reviewed at regular team meetings. Findings highlighted the significance of clinical and organisational routines in determining practice readiness for embedding innovations. In particular, clinical routines that supported a structured approach to CDM involving team-based care, allocation of resources, training and leadership were fundamental to facilitating the adoption of the eHealth tool. Non-GP roles were found to be key in developing routines that facilitated the adoption of cdmNet within a structured approach to CDM. Practice managers, administrators and clinicians should first focus on routinising processes in primary care practices that support structured and team-based processes for CDM because without these processes, new technologies will not be embedded.

scholarly journals Chronic disease management items in general practice: a population‐based study of variation in claims by claimant characteristics

2011 ◽  
Vol 195 (4) ◽  
pp. 198-202 ◽  
Author(s):  
Kirsty A Douglas ◽  
Laurann E Yen ◽  
Rosemary J Korda ◽  
Marjan Kljakovic ◽  
Nicholas J Glasgow
Keyword(s):  
General Practice ◽  
Chronic Disease ◽  
Disease Management ◽  
Chronic Disease Management ◽  
Population Based ◽  
Population Based Study

scholarly journals Integrated displays to improve chronic disease management in ambulatory care: A SMART on FHIR application informed by mixed-methods user testing

2020 ◽  
Vol 27 (8) ◽  
pp. 1225-1234
Author(s):  
Rebecca L Curran ◽  
Polina V Kukhareva ◽  
Teresa Taft ◽  
Charlene R Weir ◽  
Thomas J Reese ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Chronic Disease ◽  
Disease Management ◽  
Cognitive Load ◽  
Chronic Disease Management ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
User Feedback ◽  
Chronic Obstructive ◽  
Recommended Care

Abstract Objective The study sought to evaluate a novel electronic health record (EHR) add-on application for chronic disease management that uses an integrated display to decrease user cognitive load, improve efficiency, and support clinical decision making. Materials and Methods We designed a chronic disease management application using the technology framework known as SMART on FHIR (Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources). We used mixed methods to obtain user feedback on a prototype to support ambulatory providers managing chronic obstructive pulmonary disease. Each participant managed 2 patient scenarios using the regular EHR with and without access to our prototype in block-randomized order. The primary outcome was the percentage of expert-recommended ideal care tasks completed. Timing, keyboard and mouse use, and participant surveys were also collected. User experiences were captured using a retrospective think-aloud interview analyzed by concept coding. Results With our prototype, the 13 participants completed more recommended care (81% vs 48%; P < .001) and recommended tasks per minute (0.8 vs 0.6; P = .03) over longer sessions (7.0 minutes vs 5.4 minutes; P = .006). Keystrokes per task were lower with the prototype (6 vs 18; P < .001). Qualitative themes elicited included the desire for reliable presentation of information which matches participants’ mental models of disease and for intuitive navigation in order to decrease cognitive load. Discussion Participants completed more recommended care by taking more time when using our prototype. Interviews identified a tension between using the inefficient but familiar EHR vs learning to use our novel prototype. Concept coding of user feedback generated actionable insights. Conclusions Mixed methods can support the design and evaluation of SMART on FHIR EHR add-on applications by enhancing understanding of the user experience.

scholarly journals Impact of COVID-19 on chronic disease management

2021 ◽  
Vol 9 (8) ◽  
pp. 2510
Author(s):  
Srikar Sama ◽  
Alekhya Gajjala
Keyword(s):  
Heart Failure ◽  
Chronic Kidney Disease ◽  
Chronic Disease ◽  
Kidney Disease ◽  
Disease Management ◽  
Chronic Disease Management ◽  
Routine Care ◽  
Review Article ◽  
Potential Impact ◽  
The Impact

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.

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.

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