Guided Care

Aliotta, Sherry; Grieve, Kathleen; Giddens, Jean Foret; Dunbar, Linda; Groves, Carol; Frey, Katherine; Boult, Chad

doi:10.1097/01.pcama.0000319968.76605.b3

Cited by 16 publications

(4 citation statements)

References 8 publications

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“…Rather, we claim that for targeted populations, which do not communicate efficiently with health care professionals, new digital tools might have negative consequences on the quality of the follow-up. This danger can be mitigated by using additional, human-based communication channels, akin to the guided-care approach [ 63 ], which have already proven to be effective. We can now build tools to identify these patients based on their behavior and target the efforts on the population that needs it.…”

Section: Discussionmentioning

confidence: 99%

Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study

Benis¹,

Barkan²,

Sela³

et al. 2020

J Med Internet Res

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Background Health organizations and patients interact over different communication channels and are harnessing digital communications for this purpose. Assisting health organizations to improve, adapt, and introduce new patient–health care practitioner communication channels (such as patient portals, mobile apps, and text messaging) enhances health care services access. Objective This retrospective data study aims to assist health care administrators and policy makers to improve and personalize communication between patients and health care professionals by expanding the capabilities of current communication channels and introducing new ones. Our main hypothesis is that patient follow-up and clinical outcomes are influenced by their preferred communication channels with the health care organization. Methods This study analyzes data stored in electronic medical records and logs documenting access to various communication channels between patients and a health organization (Clalit Health Services, Israel). Data were collected between 2008 and 2016 from records of 311,168 patients diagnosed with diabetes, aged 21 years and over, members of Clalit at least since 2007, and still alive in 2016. The analysis consisted of characterizing the use profiles of communication channels over time and used clustering for discretization purposes and patient profile building and then a hierarchical clustering and heatmaps to visualize the different communication profiles. Results A total of 13 profiles of patients were identified and characterized. We have shown how the communication channels provided by the health organization influence the communication behavior of patients. We observed how different patients respond differently to technological means of communication and change or don’t change their communication patterns with the health care organization based on the communication channels available to them. Conclusions Identifying the channels of communication within the health organization and which are preferred by each patient creates an opportunity to convey messages adapted to the patient in the most appropriate way. The greater the likelihood that the therapeutic message is received by the patient, the greater the patient's response and proactiveness to the treatment will be. International Registered Report Identifier (IRRID) RR2-10.2196/10734

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Section: Discussionmentioning

confidence: 99%

Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study

Benis¹,

Barkan²,

Sela³

et al. 2020

J Med Internet Res

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“…The particular needs of older people, and the high cost of their care and the care of multiple chronic conditions, have spawned some interesting practice innovations. "Slow medicine" (Hill, 2021;Kerrigan, 2017;Marx & Kahn, 2021) that emphasizes using time and relationship as allies (Boult & Wieland, 2010;Sturmberg & Cilliers, 2009), guided care (Aliotta et al, 2008;Boyd et al, 2007) that supports integrated care of individuals and care coordination across multiple providers and settings; and multiple innovative practice models, particularly (Casalino et al, 2016;Casalino et al, 2018) in the Medicare Advantage space, appear worthy of initial support and further evaluation (ChenMed; Howe, 2017;Oak Street Health). While not focused specifically on older people, Direct Primary Care models that involve practices with small panel sizes and low-overhead from eschewing insurance and providing inclusive primary care for a small monthly fee, are revitalizing a primary care workforce energized by the ability to spend time with patients (Brekke et al, 2021;Brusch et al, 2020;Direct Primary Care Coalition;DPC Alliance;Wu et al, 2010).…”

Section: A New Nasem Reportmentioning

confidence: 99%

Integrated, Personalized Care for Older People

Stange¹,

Gaglioti²,

Bindas³

2022

Journal of Elder Policy

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Medical science has made magnificent advances by dividing complex problems into their component parts. The strength of clinical trials, and the resulting evidence-based clinical guidelines, is that they isolate a particular phenomenon or therapy from its context to assess its effect without the confounding of diverse contextual factors. However, the health and health care of whole people, and particularly older people who often live with multiple chronic conditions, is context-dependent. Older people are not well served

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“…SSM programmes have resulted in improvements for patients’ medical, health and preference-based treatment outcomes, HSV engagement, satisfaction and skills, patient-professional communication, activation and shared-decision making, and healthcare costs, utilization and adherence [35, 50–59]. However, despite the evidence-base supporting SSM, if implementation is not appropriately promoted and supported, components intended as facilitators may instead be barriers [46, 60].…”

Section: Introductionmentioning

confidence: 99%

“It all needs to be a full jigsaw, not just bits”: exploration of healthcare professionals’ beliefs towards supported self-management for long-term conditions

Anderson

Ozakinci

2019

BMC Psychol

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Background Long-Term Conditions are physical health issues which profoundly impact physical and psychological outcomes and have reached epidemic worldwide levels. An increasing evidence-base has developed for utilizing Supported Self-Management to ensure Health, Social Care & Voluntary staff are knowledgeable, skilled, and experienced to enable patients to have the confidence and capability to self-manage their conditions. However, despite Health Psychology theories underpinning chronic care models demonstrating beliefs are crucially associated with intention and behaviour, staff beliefs towards Supported Self-Management have received little attention. Therefore, the study aimed to explore healthcare professionals’ beliefs towards Supported Self-Management for Long-Term Conditions using the Theory of Planned Behaviour . Methods A mixed-methods approach was conducted within a single UK local government authority region in 2 phases: (1) Qualitative focus group of existing Supported Self-Management project staff ( N = 6); (2) Quantitative online questionnaire of general Long-Term Conditions staff ( N = 58). Results (1) Eighty two utterances over 20 theme sub-codes demonstrated beliefs that Supported Self-Management improves healthcare outcomes, but requires enhancements to patient and senior stakeholder buy-in, healthcare culture-specific tailoring, and organizational policy and resources; (2) Mean scores indicated moderate-strength beliefs that Supported Self-Management achieves positive healthcare outcomes, but weak-strength intentions to implement Supported Self-Management and beliefs it is socially normative and perceived control over implementing it. Crucially, regression analyses demonstrated intentions to implement Supported Self-Management were only associated with beliefs that important others supported it and perceived control over, or by whether it was socially encouraged. Conclusions Healthcare professionals demonstrated positive attitudes towards Supported Self-Management improving healthcare outcomes. However, intentions towards implementing this approach were low with staff only slightly believing important others (including patients and clinicians) supported it and that they had control over using it. Future Supported Self-Management projects should seek to enhance intention (and consequently behaviour) through targeting beliefs that important others do indeed actually support this approach and that staff have control over implementing it, as well as enhancin...

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Guided Care

Abstract: As a next stage in the evolution of case management, Guided Care may be supported by Medicare and, therefore, adopted widely throughout the American healthcare.

Cited by 16 publications

References 8 publications

Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study

Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study

Integrated, Personalized Care for Older People

“It all needs to be a full jigsaw, not just bits”: exploration of healthcare professionals’ beliefs towards supported self-management for long-term conditions

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