scholarly journals Factors Affecting Patients' Acceptance of and Satisfaction with Cloud-Based Telehealth for Chronic Disease Management: A Case Study in the Workplace

2020 ◽  
Vol 11 (02) ◽  
pp. 286-294 ◽  
Author(s):  
Yung-Yu Su ◽  
Su-Tsai Huang ◽  
Ying-Hsun Wu ◽  
Chun-Min Chen
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Technology Acceptance ◽  
Chronic Disease Management ◽  
Health Management ◽  
Care Providers ◽  
Workplace Health ◽  
Usage Behavior ◽  
Workplace Health Management ◽  
Patients Acceptance

Abstract Objective Understanding patients' acceptance of and satisfaction with telehealth use is important for workplace health promotion. In this study, we used a questionnaire to measure patients' usage behavior and satisfaction with cloud-based telehealth services in the workplace. We empirically investigated the factors that influence patients' usage and satisfaction based on data collected from 101 participants. Methods As its main research framework, this study utilized a revised version of the technology acceptance model 2 that was based on the telehealth services provided for chronic disease management. Through integrating a cross-sectional research design with an author-developed structured questionnaire that was assessed using reliability and validity tests, an anonymous survey was conducted on selected participants. The proposed research model and hypotheses were validated through path analysis using SPSS. Results We found that users believe telehealth services can promote their workplace health management; that job relevance, result demonstrability, and perceived ease of use (PEOU) positively affect the perceived usefulness (PU), which implies that cognitive instrumental processes have the most significant impact on the PU of cloud-based telehealth; and that both PEOU and PU positively affect the intention to use (IU), but PU has a bigger influence than PEOU on users' intentions to continue using telehealth. In particular, the IU and actual usage behavior were critical to the patients' satisfaction with telehealth services. Conclusion This research contributes to the rapid developing field of technology acceptance research by examining workplace telemedicine engagement. Our results will provide researchers with useful advice and a user-centered strategy for promoting workplace health management, which benefits both health care providers and corporate managers.

scholarly journals The Evaluation of Smart Speaker Skills for Chronic Disease Management of Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 693-694
Author(s):  
Melissa Pighin ◽  
Yong Kyung Choi
Keyword(s):  
Blood Pressure ◽  
Older Adults ◽  
Chronic Disease ◽  
Disease Management ◽  
Intervention Program ◽  
Chronic Disease Management ◽  
Health Management ◽  
Medication Management ◽  
Median Number ◽  
Home Based

Abstract A voice-activated smart speaker is an emerging technology that presents unique opportunities to support the chronic disease management of older adults. We identified the available health-related smart speaker skills in Amazon Alexa platform that support chronic disease management and assessed their functionalities to inform the development of a home-based lifestyle intervention program for older adults with cardiovascular disease and type 2 diabetes. From January to March 2021, we searched Alexa Skills using keywords related to diabetes, medication, blood pressure and nutrition management. Our search produced total 156 potentially relevant skills (63 diabetes, 57 medication, 11 blood pressure and 25 nutrition related), of which 22 skills met inclusion criteria. Apps were excluded if it was only informational, not relevant to the topic, had zero user rating, available in language other than English, and required an external device or a subscription to a specific health plan or service. 22 skills (4 diabetes, 8 medication, 3 blood pressure and 7 nutrition) were evaluated with Echo Show 8 device. The skills were evaluated using the modified version of IMS Institute for Healthcare Informatics app functionality scores and the score (0 to 11) was calculated accordingly. The median number of functionalities was 3.5 and 68% of skills (15/22) had 4 or fewer functions. The highest rated skill was a medication management app named myNurseBot having 6 out of 11 functionalities. The poor functionality score highlights a need for a more robust and comprehensive smart speaker skill to support the health management of older adults.

Pharmacists' Perspectives on Providing Chronic Disease Management Services in the Community — Part I: Current Practice Environment

2009 ◽  
Vol 142 (5) ◽  
pp. 234-239 ◽  
Author(s):  
Kelly A. Grindrod ◽  
Meagen Rosenthal ◽  
Larry Lynd ◽  
Carlo A. Marra ◽  
David Bougher ◽  
...  
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Disease Management ◽  
Focus Groups ◽  
Health Care Providers ◽  
Current Practice ◽  
Chronic Disease Management ◽  
Practice Environment ◽  
Care Providers ◽  
Management Services

Background: Several practice models have been developed to support pharmacists in providing chronic disease management. However, most of these models have not been readily accepted by pharmacists, which has led to low uptake and short-term change. Methods: Pharmacists were recruited to participate in focus groups held in Alberta and British Columbia. Qualitative methodologies involving a phenomenological approach with content analysis were used to gather and analyze information. Results: In total, 36 pharmacists participated in 8 focus groups. Analysis of their discussions revealed 4 main themes: the current practice environment and the need for education about, remuneration for and a plan for the implementation of chronic disease management services. Participants cited several challenges to the provision of this type of care, as experienced in the current practice environment: time constraints; relationships with physicians, patients and employers; limited access to clinical information; and absence of a model for chronic disease management in pharmacy practice. However, these perceptions were not universal, and pharmacists with experience in this area described some of these commonly cited “challenges” (e.g., relationships with physicians) as enablers in their own practices. In addition, staff pharmacists, regional managers and owners often had differing opinions about the key challenges and the role of remuneration. Conclusion: Some of the perceived challenges to providing chronic disease management described by staff pharmacists were not consistently supported by employers or those with experience in this practice area. This observation suggests that the greatest challenge to developing a successful model of chronic disease management for pharmacists lies in pharmacists' own perceptions about their relationships with other health care providers and their own role as health care professionals. These issues must be addressed if the practice of pharmacy is to move forward.

scholarly journals Population health challenges in primary care: What are the unfinished tasks and who should do them?

2018 ◽  
Vol 6 ◽  
pp. 205031211880020 ◽  
Author(s):  
Frederick North ◽  
Sidna M Tulledge-Scheitel ◽  
John C Matulis ◽  
Jennifer L Pecina ◽  
Andrew M Franqueira ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Disease ◽  
Disease Management ◽  
Population Health ◽  
Chronic Disease Management ◽  
Age Groups ◽  
Software Tool ◽  
Primary Care Providers ◽  
Age Group ◽  
Care Providers

Background: There are numerous recommendations from expert sources that help guide primary care providers in cancer screening, infectious disease screening, metabolic screening, monitoring of drug levels, and chronic disease management. Little is known about the potential effort needed for a healthcare system to address these recommendations, or the patient effort needed to complete the recommendations. Methods: For 73 recommended population healthcare items, we examined each of 28,742 patients in a primary care internal medicine practice to determine whether they were up-to-date on recommended screening, immunizations, counseling, and chronic disease management goals. We used a rule-based software tool that queries the medical record for diagnoses, dates, laboratory values, pathology reports, and other information used in creating the individualized recommendations. We counted the number of uncompleted recommendations by age groups and examined the healthcare staff needed to address the recommendations and the potential patient effort needed to complete the recommendations. Results: For the 28,742 patients, there were 127,273 uncompleted recommendations identified for population health management (mean recommendations per patient 4.36, standard deviation of 2.65, range of 0–17 recommendations per patient). The age group with the most incomplete recommendations was age of 50–65 years with 5.5 recommendations per patient. The 18–35 years age group had the fewest incomplete recommendations with 2.6 per patient. Across all age groups, initiation of these recommendations required high-level input (physician, nurse practitioner, or physician’s assistant) in 28%. To completely adhere to recommended services, a 1000-patient cross-section cohort would require a total of 464 procedures and 1956 lab tests. Conclusion: Providers and patients face a daunting number of tasks necessary to meet guideline-generated recommendations. We will need new approaches to address the burgeoning numbers of uncompleted recommendations.

scholarly journals Patients� Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test (Preprint)

2017 ◽  
Author(s):  
Kaili Dou ◽  
Ping Yu ◽  
Ning Deng ◽  
Fang Liu ◽  
YingPing Guan ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Theoretical Model ◽  
Disease Management ◽  
Chronic Disease Management ◽  
Resistance To Change ◽  
Health Technology ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Actual Use ◽  
Patients Acceptance

BACKGROUND Chronic disease patients often face multiple challenges from difficult comorbidities. Smartphone health technology can be used to help them manage their conditions only if they accept and use the technology. OBJECTIVE The aim of this study was to develop and test a theoretical model to predict and explain the factors influencing patients’ acceptance of smartphone health technology for chronic disease management. METHODS Multiple theories and factors that may influence patients’ acceptance of smartphone health technology have been reviewed. A hybrid theoretical model was built based on the technology acceptance model, dual-factor model, health belief model, and the factors identified from interviews that might influence patients’ acceptance of smartphone health technology for chronic disease management. Data were collected from patient questionnaire surveys and computer log records about 157 hypertensive patients’ actual use of a smartphone health app. The partial least square method was used to test the theoretical model. RESULTS The model accounted for .412 of the variance in patients’ intention to adopt the smartphone health technology. Intention to use accounted for .111 of the variance in actual use and had a significant weak relationship with the latter. Perceived ease of use was affected by patients’ smartphone usage experience, relationship with doctor, and self-efficacy. Although without a significant effect on intention to use, perceived ease of use had a significant positive influence on perceived usefulness. Relationship with doctor and perceived health threat had significant positive effects on perceived usefulness, countering the negative influence of resistance to change. Perceived usefulness, perceived health threat, and resistance to change significantly predicted patients’ intentions to use the technology. Age and gender had no significant influence on patients’ acceptance of smartphone technology. The study also confirmed the positive relationship between intention to use and actual use of smartphone health apps for chronic disease management. CONCLUSIONS This study developed a theoretical model to predict patients’ acceptance of smartphone health technology for chronic disease management. Although resistance to change is a significant barrier to technology acceptance, careful management of doctor-patient relationship, and raising patients’ awareness of the negative effect of chronic disease can negate the effect of resistance and encourage acceptance and use of smartphone health technology to support chronic disease management for patients in the community.

scholarly journals DIVERT-Collaboration Action Research and Evaluation (CARE) Trial Protocol: a multiprovincial pragmatic cluster randomised trial of cardiorespiratory management in home care

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e030301 ◽  
Author(s):  
Andrew P Costa ◽  
Connie Schumacher ◽  
Aaron Jones ◽  
Darly Dash ◽  
Graham Campbell ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Cost Effectiveness ◽  
Action Research ◽  
Disease Management ◽  
Home Care ◽  
Chronic Disease Management ◽  
Management Model ◽  
Care Providers ◽  
Cluster Randomised ◽  
The Difference

IntroductionHome care clients are increasingly medically complex, have limited access to effective chronic disease management and have very high emergency department (ED) visitation rates. There is a need for more appropriate and targeted supportive chronic disease management for home care clients. We aim to evaluate the effectiveness and preliminary cost effectiveness of a targeted, person-centred cardiorespiratory management model.Methods and analysisThe Detection of Indicators and Vulnerabilities of Emergency Room Trips (DIVERT) — Collaboration Action Research and Evaluation (CARE) trial is a pragmatic, cluster-randomised, multicentre superiority trial of a flexible multicomponent cardiorespiratory management model based on the best practice guidelines. The trial will be conducted in partnership with three regional, public-sector, home care providers across Canada. The primary outcome of the trial is the difference in time to first unplanned ED visit (hazard rate) within 6 months. Additional secondary outcomes are to identify changes in patient activation, changes in cardiorespiratory symptom frequencies and cost effectiveness over 6 months. We will also investigate the difference in the number of unplanned ED visits, number of inpatient hospitalisations and changes in health-related quality of life. Multilevel proportional hazard and generalised linear models will be used to test the primary and secondary hypotheses. Sample size simulations indicate that enrolling 1100 home care clients across 36 clusters (home care caseloads) will yield a power of 81% given an HR of 0.75.Ethics and disseminationEthics approval was obtained from the Hamilton Integrated Research Ethics Board as well as each participating site’s ethics board. Results will be submitted for publication in peer-reviewed journals and for presentation at relevant conferences. Home care service partners will also be informed of the study’s results. The results will be used to inform future support strategies for older adults receiving home care services.Trial registration numberNCT03012256.

Continuing professional development in HIV chronic disease management for primary care providers

2014 ◽  
Vol 37 (8) ◽  
pp. 714-717 ◽  
Author(s):  
Helen Kang ◽  
Benita Yip ◽  
William Chau ◽  
Adriana Nóhpal De La Rosa ◽  
David Hall ◽  
...  
Keyword(s):  
Professional Development ◽  
Primary Care ◽  
Chronic Disease ◽  
Disease Management ◽  
Chronic Disease Management ◽  
Continuing Professional Development ◽  
Primary Care Providers ◽  
Care Providers

scholarly journals From “retailers” to health care providers: Transforming the role of community pharmacists in chronic disease management

Health Policy ◽  
2015 ◽  
Vol 119 (5) ◽  
pp. 628-639 ◽  
Author(s):  
Elias Mossialos ◽  
Emilie Courtin ◽  
Huseyin Naci ◽  
Shalom Benrimoj ◽  
Marcel Bouvy ◽  
...  
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Disease Management ◽  
Health Care Providers ◽  
Chronic Disease Management ◽  
Community Pharmacists ◽  
Care Providers

scholarly journals Ain’t I Supposed to Be Doing Something?: Identifying and Discussing Cognitive Issues in Lupus

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 452-452
Author(s):  
Ann Vandenberg ◽  
Cristina Drenkard ◽  
Felicia Goldstein ◽  
Charmayne Dunlop-Thomas ◽  
S Sam Lim ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Cognitive Functioning ◽  
Cognitive Assessment ◽  
Chronic Disease Management ◽  
Accelerated Aging ◽  
Care Providers ◽  
Patient Centered ◽  
Cognitive Problems ◽  
Near Future

Abstract Lupus is a complex chronic disease associated with a high prevalence geriatric syndromes and reduced cognitive functioning, consistent with accelerated aging. Although patients with lupus commonly report cognitive symptoms or “lupus fog,” cognitive assessment is not routine and little is known about day-to-day cognitive problems and their effect on chronic disease management. As part of a pilot exploring the use of a cognitive functioning report prototype for shared decision making in clinical encounters (Approaches to Positive Patient-Centered Experiences of Aging in Lupus study), we conducted four focus groups, two with lupus patients (n=18) and two with lupus providers (physicians and nurses; n=9) addressing cognition. We compared how the NIH Toolbox fluid cognition domains (episodic (retrospective) memory, working memory, processing speed, attention and inhibitory control, cognitive flexibility, and overall fluid cognition) matched with patient- and provider-identified cognitive problems and needs. In open questioning using a standard interview guide, patients identified all domains with rich experiential examples; providers identified fewer domains with less detail. An unanticipated additional domain was prospective memory, problems in remembering future actions, whether in the near future (e.g., forgetting what they needed to do on entering a room) or in the not-so-near future (e.g., forgetting about a medical appointment). Technological aids (e.g., smartphone alerts) were mentioned by some patients, but not providers, and represent a potential opportunity for medical care. Providers envisioned using cognitive assessment to distinguish cognitive issues (e.g., forgetting to take medication) from other problems (e.g., medication non-adherence) in order to tailor chronic disease management messaging.

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