scholarly journals Minimally Disruptive Medicine: A Pragmatically Comprehensive Model for Delivering Care to Patients with Multiple Chronic Conditions

Healthcare ◽  
2015 ◽  
Vol 3 (1) ◽  
pp. 50-63 ◽  
Author(s):  
Aaron Leppin ◽  
Victor Montori ◽  
Michael Gionfriddo
2019 ◽  
Author(s):  
Thomas H Wieringa ◽  
Manuel F Sanchez-Herrera ◽  
Nataly R Espinoza ◽  
Viet-Thi Tran ◽  
Kasey Boehmer

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.


10.2196/13763 ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. e13763
Author(s):  
Thomas H Wieringa ◽  
Manuel F Sanchez-Herrera ◽  
Nataly R Espinoza ◽  
Viet-Thi Tran ◽  
Kasey Boehmer

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.


2013 ◽  
Author(s):  
Donna M. Zulman ◽  
Emily Jenchura ◽  
Danielle Cohen ◽  
Eleanor Lewis ◽  
Steven M. Asch

2018 ◽  
Vol 28 (2) ◽  
pp. 561-565
Author(s):  
Radost Assenova ◽  
Levena Kireva ◽  
Gergana Foreva

Background: Patients with multimorbidity represent a significant portion of the primary healthcare population. For healthcare providers, managing patients with multiple chronic conditions represents a challenge given the complexity and the intensity of interventions. Integrated and patient-centered care is considered an effective response to the needs of people who suffer from multiple chronic conditions. According to the literature providing patient-centered care is one of the most important interventions in terms of positive health-related outcomes for patients with multimorbidity.Aim: The aim of the study is to evaluate the GPs’ perception of patient oriented interventions as key elements of patient centred care for patients with multimorbidity.Material and methods: A cross-sectional pilot study was conducted among randomly selected 73 GPs. A direct individual anonymous survey was performed to explore the opinion of respondents about the importance of two patient-oriented interventions, each one including specific elements of patient-centered care for patients with multimorbidity. The tool was developed as a result of the scoping review performed by Smith et al. (2012;2016). A 5-point Likert scale (0-not at all, 1-little, 2-rather, 3-much, 4-very strong) was used. The data were analysed using descriptive statistics. In processing the data, the software product for statistical analyses - SPSS version 17 was performed for Windows XP.Results: Our results show that both categories - providing patient-oriented approach and self-management support interventions were highly accessed by the respondents. The most frequent categories of interventions identified in our study were Creating individualized and adapted interventions, Performing regular contacts and Reinforcing adherence. Less frequently reported elements such as Considering relatives’ needs and Developing self-management plan are still underestimated by the Bulgarian GPs.Conclusions: The acceptance and understanding of innovative patient-centered interventions adapted to patients with multimorbidity could be accepted as a good indicator for improving health-related outcomes and care for patients with multiple chronic conditions.


2021 ◽  
Vol 8 ◽  
pp. 237437352098148
Author(s):  
Surachat Ngorsuraches ◽  
Semhar Michael ◽  
Nabin Poudel ◽  
Gemechis Djira ◽  
Emily Griese ◽  
...  

The study objective was to (1) develop a statistical model that creates a novel patient engagement score (PES) from electronic medical records (EMR) and health claim data, and (2) validate this developed score using health-related outcomes and charges of patients with multiple chronic conditions (MCCs). This study used 2014-16 EMR and health claim data of patients with MCCs from Sanford Health. Patient engagement score was created based on selected patients’ engagement behaviors using Gaussian finite mixture model. The PES was validated using multiple logistic and linear regression analyses to examine the associations between the PES and health-related outcomes, and hospital charges, respectively. Patient engagement score was generated from 5095 patient records and included low, medium, and high levels of patient engagement. The PES was a significant predictor for low-density lipoprotein, emergency department visit, hemoglobin A1c, estimated glomerular filtration rate, hospitalization, and hospital charge. The PES derived from patient behaviors recorded in EMR and health claim data can potentially serve as a patient engagement measure. Further study is needed to refine and validate the newly developed score.


2021 ◽  
Vol 10 (10) ◽  
pp. 2112
Author(s):  
Tullika Garg ◽  
Courtney A. Polenick ◽  
Nancy Schoenborn ◽  
Jane Jih ◽  
Alexandra Hajduk ◽  
...  

Multiple chronic conditions (MCC) are one of today’s most pressing healthcare concerns, affecting 25% of all Americans and 75% of older Americans. Clinical care for individuals with MCC is often complex, condition-centric, and poorly coordinated across multiple specialties and healthcare services. There is an urgent need for innovative patient-centered research and intervention development to address the unique needs of the growing population of individuals with MCC. In this commentary, we describe innovative methods and strategies to conduct patient-centered MCC research guided by the goals and objectives in the Department of Health and Human Services MCC Strategic Framework. We describe methods to (1) increase the external validity of trials for individuals with MCC; (2) study MCC epidemiology; (3) engage clinicians, communities, and patients into MCC research; and (4) address health equity to eliminate disparities.


2021 ◽  
pp. 108482232110021
Author(s):  
Alireza Nikbakht Nasrabadi ◽  
Leila Mardanian Dehkordi ◽  
Fariba Taleghani

Transitional care is a designed plan to ensure the continuity of care received by patients as they transfer between different locations or levels of care. The aim of this paper is to explore nurses’ experiences of transitional care in multiple chronic conditions. A qualitative method with a conventional content analysis approach was utilized. The study was conducted at university hospitals in 2 big cities (Isfahan and Tehran) of Iran. This study is performed from November 2018 to December 2019 using deep, semi-structured, and face-to-face interviews which are focused on nurses’ experiences of transitional care. Data collection continued until saturation was reached. Finally, 15 nurses take part in this study. Data collection and data analysis were conducted concurrently. Data were analyzed using Graneheim and Lundman’s techniques. Two main themes providing a descriptive summary of the major elements of transitional care identified: “threat to patient safety” and “Care breakdown”. Findings showed an exclusive image of unsafe transitional care which was done unplanned without appropriate delegating care to family and threat patient safety. There is still a gap in the transition from hospital to home. Nursing managers can address this issue by creating a culture of teamwork, training competent nurses by continuum education, and more supervision of nursing care. Policymakers can ensure continuity of care by developing policies and programs about transitional care.


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