Minimally disruptive medicine (MDM) in clinical practice: a qualitative case study of the human immunodeficiency virus (HIV) clinic care model.

BACKGROUND: Recent evidence suggests the need to reframe healthcare delivery for patients with chronic conditions, with emphasis on minimizing healthcare footprint/workload on patients, caregivers, clinicians and health systems through the proposed Minimally Disruptive Medicine (MDM) care model named. HIV care models have evolved to further focus on understanding barriers and facilitators to care delivery while improving patient-centered outcomes (e.g., disease progression, adherence, access, quality of life). It is hypothesized that these models may provide an example of MDM care model in clinic practice. Therefore, this study aimed to observe and ascertain MDM-concordant and discordant elements that may exist within a tertiary-setting HIV clinic care model for patients living with HIV or AIDS (PLWHA). We also aimed to identify lessons learned from this setting to inform improving the feasibility and usefulness of MDM care model. METHODS: This qualitative case study occurred in multidisciplinary HIV comprehensive-care clinic within an urban tertiary-medical center. Participants included Adult PLWHA and informal caregivers (e.g. family/friends) attending the clinic for regular appointments were recruited. All clinic staff were eligible for recruitment. Measurements included; semi-guided interviews with patients, caregivers, or both; semi-guided interviews with varied clinicians (individually); and direct observations of clinical encounters (patient-clinicians), as well as staff daily operations in 2015-2017. The qualitative-data synthesis used iterative, mainly inductive thematic coding. RESULTS: Researcher interviews and observations data included 28 patients, 5 caregivers, and 14 care-team members. With few exceptions, the clinic care model elements aligned closely to the MDM model of care through supporting patient capacity/abilities (with some patients receiving minimal social support and limited assistance with reframing their biography) and minimizing workload/demands (with some patients challenged by the clinic hours of operation). CONCLUSIONS: The studied HIV clinic incorporated many of the MDM tenants, contributing to its validation, and informing gaps in knowledge. While these findings may support the design and implementation of care that is both minimally disruptive and maximally supportive, the impact of MDM on patient-important outcomes and different care settings require further studying.

Women living with multi-morbidity in the Greater Accra Region of Ghana: a qualitative study guided by the Cumulative Complexity Model.

Defined as the co-occurrence of more than two chronic conditions, multi-morbidity has been described as a significant health care problem: a trend linked to a rise in non-communicable disease and an ageing population. Evidence on the experiences of living with multi-morbidity in middle-income countries (MICs) is limited. In high-income countries (HICs), multi-morbidity has a complex impact on health outcomes, including functional status, disability and quality of life, complexity of health care and burden of treatment. Previous evidence also shows that multi-morbidity is consistently higher amongst women. This study aimed to explore the perceptions and experiences of women living with multi-morbidity in the Greater Accra Region, Ghana: to understand the complexity of their health needs due to multi-morbidity, and to document how the health system has responded. Guided by the Cumulative Complexity Model, and using stratified purposive sampling, 20 in-depth interviews were conducted between May and September 2015 across three polyclinics in the Greater Accra Region. The data were analysed using the six phases of Thematic Analysis. Overall four themes emerged: 1) the influences on patients' health experience; 2) seeking care and the responsiveness of the health care system; 3) how patients manage health care demands; and 4) outcomes due to health. Spirituality and the stigmatization caused by specific conditions, such as HIV, impacted their overall health experience. Women depended on the care and treatment provided through the health care system despite inconsistent coverage and a lack of choice thereof, although their experiences varied by chronic condition. Women depended on their family and community to offset the financial burden of treatment costs, which was exacerbated by having many conditions. The implications are that integrated health and social support, such as streamlining procedures and professional training on managing complexity, would benefit and reduce the burden of multi-morbidity experienced by women with multi-morbidity in Ghana.

The digital cumulative complexity model: a framework for improving engagement in digital mental health interventions.

Mental health disorders affect a substantial portion of the global population. Despite preferences for psychotherapy, access remains limited due to various barriers. Digital mental health interventions (DMHIs) have emerged to increase accessibility, yet engagement and treatment completion rates are concerning. Evidence across healthcare where some degree of self-management is required show that treatment engagement is negatively influenced by contextual complexity. This article examines the non-random factors influencing patient engagement in digital and face-to-face psychological therapies. It reviews established models and introduces an adapted version of the Cumulative Complexity Model (CuCoM) as a framework for understanding engagement in the context of digital mental health. Theoretical models like the Fogg Behavior Model, Persuasive System Design, Self-Determination Theory, and Supportive Accountability aim to explain disengagement. However, none adequately consider these broader contextual factors and their complex interactions with personal characteristics, intervention requirements and technology features. We expand on these models by proposing an application of CuCoM's application in mental health and digital contexts (known as DiCuCoM), focusing on the interplay between patient burden, personal capacity, and treatment demands. Standardized DMHIs often fail to consider individual variations in burden and capacity, leading to engagement variation. DiCuCoM highlights the need for balancing patient workload with capacity to improve engagement. Factors such as life demands, burden of treatment, and personal capacity are examined for their influence on treatment adherence. The article proposes a person-centered approach to treatment, informed by models like CuCoM and Minimally Disruptive Medicine, emphasizing the need for mental healthcare systems to acknowledge and address the unique burdens and capacities of individuals. Strategies for enhancing engagement include assessing personal capacity, reducing treatment burden, and utilizing technology to predict and respond to disengagement. New interventions informed by such models could lead to better engagement and ultimately better outcomes.

Patient Work and Treatment Burden in Type 2 Diabetes: A Mixed-Methods Study.

OBJECTIVE: To use quantitative and qualitative methods to characterize the work patients with type 2 diabetes mellitus (T2DM) enact and explore the interactions between illness, treatment, and life. PATIENTS AND METHODS: In this mixed-methods, descriptive study, adult patients with T2DM seen at the outpatient diabetes clinic at Mayo Clinic in Rochester, Minnesota, from February 1, 2016, through March 31, 2017, were invited to participate. The study had 3 phases. In phase 1, the Patient Experience with Treatment and Self-management (PETS) scale was used to quantify treatment burden. In phase 2, a convenience sample of patients used a smartphone application to describe, in real time, time spent completing diabetes self-management tasks and to upload descriptive digital photographs. In phase 3, these data were explored in qualitative interviews that were analyed by 2 investigators using deductive analysis. RESULTS: Of 162 participants recruited, 160 returned the survey (phase 1); of the 50 participants who used the smartphone application (phase 2), we interviewed 17 (phase 3). The areas in which patients reported highest treatment burden were difficulty with negotiating health services (eg, coordinating medical appointments), medical expenses, and mental/physical exhaustion with self-care. Participants reported that medical appointments required about 2.5 hours per day, and completing administrative tasks related to health care required about 45 minutes. Time spent on health behaviors varied widely-from 2 to 60 minutes in a given 3-hour period. Patients' experience of a task's burden did not always correlate with the time spent on that task. CONCLUSION: The most burdensome tasks to patients with T2DM included negotiating health care services, affording medications, and completing administrative tasks even though they were not the most time-consuming activities. To be minimally disruptive, diabetes care should minimize the delegation of administrative tasks to patients.

Capacity Coaching: A Focused Ethnographic Evaluation in Clinical Practice.

OBJECTIVE: To qualitatively evaluate the implementation of Capacity Coaching, an intervention to address the work patients must undertake to manage their conditions, implemented as a quality improvement pilot in 1 of 2 implementing US Department of Veterans Affairs medical centers. PARTICIPANTS AND METHODS: Two Veterans Affairs medical centers in the Midwest sought to implement Capacity Coaching as a quality improvement pilot in their Patient-Aligned Care Teams for 6 months (April 1, 2017, through October 31, 2017). Following the pilot, we conducted a focused ethnographic evaluation (on-site data collection, January 2-4, 2018), including interviews, a focus group, and observations with staff at one site to assess the implementation of capacity coaching. Data were analyzed inductively and findings were cross-referenced with implementation theory. RESULTS: We found that implementation was feasible and achieved changes that were aligned with reducing patient work and increasing capacity. We found that the key facilitators for the implementation of this program were in participants making sense of the intervention (coherence) and working collectively to enact the program (collective action). The main challenges for the program were in planning the work of implementation and enrolling a diverse coalition of staff to expand referrals to the program (cognitive participation) and in evaluating the impact of the program on outcomes that upper leadership was interested in (reflexive monitoring). CONCLUSION: Implementation of Capacity Coaching is feasible in clinical practice and may be a promising intervention for the care of chronic conditions. Further research should focus on testing capacity coaching using these lessons learned.

Attaining minimally disruptive medicine: context, challenges and a roadmap for implementation.

In this second of two papers on minimally disruptive medicine, we use the language of patient workload and patient capacity from the Cumulative Complexity Model to accomplish three tasks. First, we outline the current context in healthcare, comprised of contrasting problems: some people lack access to care and others receive too much care in an overmedicalised system, both of which reflect imbalances between patients' workloads and their capacity. Second, we identify and address five tensions and challenges between minimally disruptive medicine, the existing context, and other approaches to accessible and patient-centred care such as evidence-based medicine and greater patient engagement. Third, we outline a roadmap of three strategies toward implementing minimally disruptive medicine in practice, including large-scale paradigm shifts, mid-level add-ons to existing reform efforts, and a modular strategy using an existing 'toolkit' that is more limited in scope, but can fit into existing healthcare systems.