scholarly journals The Missed Opportunity of Patient-Centered Medical Homes to Thrive in an Asian Context

2021 ◽  
Vol 18 (4) ◽  
pp. 1817
Author(s):  
Shilpa Surendran ◽  
Chuan De Foo ◽  
Chen Hee Tam ◽  
Elaine Qiao Ying Ho ◽  
David Bruce Matchar ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Shared Decision Making ◽  
Healthcare Delivery ◽  
Care Practice ◽  
Shared Decision ◽  
Patient Centered ◽  
Patient Centered Medical Homes ◽  
Medical Homes ◽  
Number Of Patients

In recent years, there is growing interest internationally to implement patient-centered medical homes (PCMHs), and Singapore is no exception. However, studies understanding the influence of contextual policy factors on the implementation of PCMHs are limited. We conducted 10 semi-structured in-depth interviews with general practitioners working in seven out of the nine PCMHs. Audio recordings were transcribed and analyzed by two study team members in NVivo 12 Software using grounded theory techniques. Power dynamics between the stakeholders and lack of shared decision-making among them in selecting the locale of the PCMH and formulating the practice fee and pharmacy structure were the key factors which negatively affected the implementation of PCMHs on a larger scale. Over time, lack of funding to hire dedicated staff to transfer patients and misalignment of various stakeholders’ interest to other right-siting programs also resulted in low number of patients with chronic conditions and revenue. Countries seeking to implement a successful PCMH may benefit from building trust and relationship between stakeholders, engaging in shared decision-making, ongoing cost-efficiency efforts, and formulating a clear delineation of responsibilities between stakeholders. For a healthcare delivery model to succeed in the primary care landscape, policies should be developed keeping mind the realities of primary care practice.

The Role of Shared Decision-Making in Audiologic Rehabilitation

2014 ◽  
Vol 21 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Helen Pryce ◽  
Amanda Hall
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Behavior Changes ◽  
Shared Decision ◽  
Patient Centered ◽  
Treatment Information ◽  
Centered Care ◽  
Potential Risks ◽  
Audiologic Rehabilitation

Shared decision-making (SDM), a component of patient-centered care, is the process in which the clinician and patient both participate in decision-making about treatment; information is shared between the parties and both agree with the decision. Shared decision-making is appropriate for health care conditions in which there is more than one evidence-based treatment or management option that have different benefits and risks. The patient's involvement ensures that the decisions regarding treatment are sensitive to the patient's values and preferences. Audiologic rehabilitation requires substantial behavior changes on the part of patients and includes benefits to their communication as well as compromises and potential risks. This article identifies the importance of shared decision-making in audiologic rehabilitation and the changes required to implement it effectively.

Improving the Perception of Patient-Centered Wellness in a Virtual Population During the COVID-19 Pandemic

2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Shared Decision Making ◽  
Cognitive Theory ◽  
Well Being ◽  
Mobile App ◽  
Shared Decision ◽  
Patient Centered ◽  
The Social

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual’s likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.

scholarly journals Crafting Care That Fits: Workload and Capacity Assessments Complementing Decision Aids in Implementing Shared Decision Making (Preprint)

2019 ◽  
Author(s):  
Thomas H Wieringa ◽  
Manuel F Sanchez-Herrera ◽  
Nataly R Espinoza ◽  
Viet-Thi Tran ◽  
Kasey Boehmer
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Chronic Conditions ◽  
Decision Aids ◽  
Multiple Chronic Conditions ◽  
Shared Decision ◽  
Patient Centered ◽  
Patient Goals ◽  
Minimally Disruptive Medicine ◽  
Workload Capacity

UNSTRUCTURED About 42% of adults have one or more chronic conditions and 23% have multiple chronic conditions. The coordination and integration of services for the management of patients living with multimorbidity is important for care to be efficient, safe, and less burdensome. Minimally disruptive medicine may optimize this coordination and integration. It is a patient-centered approach to care that focuses on achieving patient goals for life and health by seeking care strategies that fit a patient’s context and are minimally disruptive and maximally supportive. The cumulative complexity model practically orients minimally disruptive medicine–based care. In this model, the patient workload-capacity imbalance is the central mechanism driving patient complexity. These elements should be accounted for when making decisions for patients with chronic conditions. Therefore, in addition to decision aids, which may guide shared decision making, we propose to discuss and clarify a potential workload-capacity imbalance.

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