Identifying most important contextual factors for the implementation of self-management interventions: A Delphi study

OBJECTIVE

To reach consensus amongst stakeholders about the most important contextual factors (CFs) that may influence the successful implementation of (components of) self-management interventions (SMIs) for type 2 diabetes, obesity, COPD and heart failure.

METHODS

Building on our literature review that identified 31 CFs on different levels we conducted a Delphi with 44 stakeholders to identify which of these CFs, or additional ones, contribute most to successful implementation of SMIs. The Delphi consisted of three rounds in which the CFs were scored, prioritized and discussed.

RESULTS

The most important CFs overlapped to a great extent across components of SMIs and diseases. Overall, stakeholders identified 'HCP's ability to adapt the advice, communication or intervention to patients' situation and level of knowledge' as most important CF.

CONCLUSION

CFs need to be taken into account when implementing promising SMIs. According to stakeholders, the most important CFs are patient-, HCP- or interaction related. 'Tailoring' was selected as the most crucial aspect for HCPs.

PRACTICE IMPLICATIONS

Stakeholders can make informed decisions on the adoption of the most suitable SMIs in a given context. These CFs are available through a self-management platform. Suggestions to implement self-management behaviour and to close the research-to-practice gap are made.

Comparing the effectiveness of Family Support for Health Action (FAM-ACT) with traditional community health worker-led interventions to improve adult diabetes management and outcomes: study protocol for a randomized controlled trial

BACKGROUND

Diabetes self-management education and support (DSMES) programs have struggled to deliver sustainable, effective support for adults with diabetes (AWDs) to improve self-management behaviors, achieve glycemic goals, and reduce risk for complications. One largely untapped resource for this support is AWDs' social networks. Fifty to 75% of AWDs have an unpaid family member or friend ("support person") who provides ongoing help with diabetes management. However, DSMES interventions to date lack structured and effective approaches to directly engage support persons in AWDs' diabetes management.

METHODS

This parallel arm randomized trial is designed to determine the effectiveness of Family Support for Health Action (FAM-ACT), a novel community health worker (CHW)-delivered program focused on educating and supporting patients with type 2 diabetes (T2D) and their support persons (SPs), relative to an established, CHW-delivered, individual patient-focused DSMES and care management (I-DSMES) intervention. Both interventions were developed using a community-based participatory research (CBPR) approach. The study will be conducted in partnership with an urban Federally Qualified Health Center (FQHC) serving a low-income, Latino/a community, with target enrollment of 268 dyads consisting of an FQHC patient with T2D with high HbA1c and an SP. Patient-SP dyads will be randomized to receive FAM-ACT or I-DSMES over 6 months. The primary outcome is change in patient HbA1c from baseline to 6 months. Secondary patient outcomes include 12-month change in HbA1c, changes in patient blood pressure, diabetes self-management behaviors, diabetes distress, patient activation, diabetes self-efficacy, and perceptions of and satisfaction with SP support for diabetes. Secondary SP outcomes include self-efficacy for helping the patient with diabetes management and SP distress about the patient's diabetes. We also will assess the effect of the COVID-19 pandemic on patient's ability to manage diabetes.

DISCUSSION

This study will inform scalable, evidence-based approaches that leverage family support to help AWDs improve and sustain self-management strategies that underpin optimal management of multiple diabetes complication risk factors. The protocol is designed for and evaluated with a low-income and predominantly Latino/a community, which may increase applicability to other similar communities. The COVID-19 pandemic presented several challenges to study protocol and intervention delivery; modifications made to address these challenges are described.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03812614. Registered on 18 January 2019.

Psychosocial barriers and facilitators for adherence to a healthy lifestyle among patients with chronic kidney disease: a focus group study

Background

Progression of chronic kidney disease (CKD) may be delayed if patients engage in healthy lifestyle behaviors. However, lifestyle adherence is very difficult and may be influenced by problems in psychosocial functioning. This qualitative study was performed to gain insights into psychosocial barriers and facilitators for lifestyle adherence among patients with CKD not receiving dialysis.

Methods

Eight semi-structured focus groups were conducted with a purposive sample of 24 patients and 23 health care professionals from four Dutch medical centers. Transcripts were analyzed using thematic analysis. Subsequently, the codes from the inductive analysis were deductively mapped onto the Theoretical Domains Framework (TDF).

Results

Many psychosocial barriers and facilitators for engagement in a healthy lifestyle were brought forward, such as patients’ knowledge and intrinsic motivation, emotional wellbeing and psychological distress, optimism, and disease acceptance. The findings of the inductive analysis matched all fourteen domains of the TDF. The most prominent domains were ‘social influences’’and ‘environmental context and resources’, reflecting how patients’ environments hinder or support engagement in a healthy lifestyle.

Conclusions

The results indicate a need for tailored behavioral lifestyle interventions to support disease self-management. The TDF domains can guide development of adequate strategies to identify and target individually experienced psychosocial barriers and facilitators.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-022-02837-0.

What is the effect of low back pain self-management interventions with exercise components added? A systematic review with meta-analysis

BACKGROUND

Best practice guidelines endorse self-management and exercise in chronic low back pain (CLBP) management. The majority of existing self-management interventions (SMIs) do not include exercise components, and the effect of SMIs with exercises on CLBP and disability remains unclear.

OBJECTIVES

To systematically review the evidence for the effect of SMIs with an exercise component added, on pain and disability in people with CLBP.

DESIGN

Systematic review with meta-analysis.

METHOD

An electronic search of randomized controlled trials (RCTs) with SMIs with exercises was performed in 5 databases. Standardised Mean Difference (SMD) and 95% confidence interval (CI) were calculated using a random-effects model for meta-analysis at short-term, intermediate, and long-term follow-up points. The level of evidence was synthesized using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

RESULTS

09 RCTs were included in the review and the GRADE quality assessment revealed low-quality evidence for all meta-analyses across 3 follow-up points. Effect sizes (ESs) for pain were -0.28, -0.36 and -0.21 for short-term, intermediate, and long-term respectively, and -0.30, -0.25 and -0.20 for short-term, intermediate, and long-term for disability, respectively. 6 out of 09 studies included tailored exercise programmes and exercise components differed widely in their content and delivery.

CONCLUSIONS

There is low-quality evidence that SMIs with exercises added have moderately positive effects on pain and disability in patients with CLBP compared to control interventions involving usual care, typically consisting of access to medication, exercise, advice, education, and manual therapy.

Modeling Multicomponent Interventions in Network Meta-Analysis

There is a rapid increase in trials assessing healthcare interventions consisting of a combination of drugs (polytherapies) or multiple components. In the latter type of interventions (also known as complex interventions), the aspect of complexity is of paramount importance. For example, nonpharmacological interventions, such as psychological interventions or self-management interventions, usually share common components that relate to the nature of intervention, who delivers it, or where and how. In a network of trials, there is often the need to identify the most effective (or safest) component and/or combination of components. Four key meta-analytical approaches have been presented in the literature to handle complex interventions. These include (a) the single-effect model, (b) the full interaction model, (c) the additive main effects model, and (d) the two-way interaction model. In this chapter, we present and discuss the advantages and limitations of these approaches. We illustrate these methods using a network that assesses the relative effects of self-management interventions on waist size in patients with type 2 diabetes.

The potential of digital phenotyping to advance the contributions of mobile health to self-management science

Digital phenotyping consists of moment-by-moment quantification of behavioral data from individual people, typically collected passively from smartphones and other sensors. Within the evolving context of precision health, digital phenotyping can advance the use of mobile health -based self-management tools and interventions by enabling more accurate prediction for prevention and treatment, facilitating supportive strategies, and informing the development of features to motivate self-management behaviors within real-world conditions. This represents an advancement in self-management science: with digital phenotyping, nurse scientists have opportunities to tailor interventions with increased precision. In this paper, we discuss the emergence of digital phenotyping, the historical background of ecological momentary assessment, and the current state of the science of digital phenotyping, with implications for research design, computational requirements, and ethical considerations in self-management science, as well as limitations.

Perceived Sodium Reduction Barriers Among Patients with Chronic Kidney Disease: Which Barriers Are Important and Which Patients Experience Barriers?

PURPOSE

The purposes of this study were to assess the importance of perceived sodium reduction barriers among patients with chronic kidney disease (CKD) and identify associated sociodemographic, clinical, and psychosocial factors.

METHOD

A total of 156 patients with CKD completed a questionnaire assessing sodium reduction barriers (18 self-formulated items), depressive symptoms (Beck Depression Inventory), perceived autonomy support (Modified Health Care Climate Questionnaire), and self-efficacy (Partners in Health Questionnaire). Factor analysis was used to identify barrier domains. Correlation coefficients were computed to examine relationships between barrier domains and patient characteristics.

RESULTS

Nine barrier domains were identified. Barriers perceived as important were as follows: high sodium content in products, lack of sodium feedback, lack of goal setting and discussing strategies for sodium reduction, and not experiencing CKD-related symptoms (mean scores > 3.0 on 5-point scales, ranging from 1 'no barrier' to 5 'very important barrier'). Other barriers (knowledge, attitude, coping skills when eating out, and professional support) were rated as moderately important (rated around midpoint), and the barrier 'intrinsic motivation' was rated as somewhat important (mean score = 1.9). Sodium reduction barrier domains were not associated with gender and kidney function, but were associated with age, level of education, number of comorbidities, perceived autonomy support, depressive symptoms, and self-efficacy (range r = 0.17-0.35). Patients with lower self-efficacy and perceived autonomy support scores experienced most sodium reduction barriers.

CONCLUSION

Patients with CKD experience multiple important sodium reduction barriers and could benefit from support strategies that target various sodium reduction barriers and strengthen beliefs regarding self-efficacy and autonomy support. Additionally, environmental interventions should be implemented to reduce sodium levels in processed foods.

Self-management interventions: Proposal and validation of a new operational definition

OBJECTIVES

Systematic reviews on complex interventions like self-management interventions often do not explicitly state an operational definition of the intervention studied, which may impact the review's conclusions. This study aimed to propose an operational definition of self-management interventions and determine its discriminative performance compared with other operational definitions.

STUDY DESIGN AND SETTING

Systematic review of definitions of self-management interventions and consensus meetings with self-management research experts and practitioners.

RESULTS

Self-management interventions were defined as interventions that aim to equip patients with skills to actively participate and take responsibility in the management of their chronic condition in order to function optimally through at least knowledge acquisition and a combination of at least two of the following: stimulation of independent sign/symptom monitoring, medication management, enhancing problem-solving and decision-making skills for medical treatment management, and changing their physical activity, dietary, and/or smoking behavior. This definition substantially reduced the number of selected studies (255 of 750). In two preliminary expert meetings (n = 6), the proposed definition was identifiable for self-management research experts and practitioners (80% and 60% agreement, respectively).

CONCLUSION

Future systematic reviews must carefully consider the operational definition of the intervention studied because the definition influences the selection of studies on which conclusions and recommendations for clinical practice are based.