A Digital Patient-Provider Communication Intervention (InvolveMe): Qualitative Study on the Implementation Preparation Based on Identified Facilitators and Barriers

Evaluation of Support, a self-guided online type 1 diabetes self-management education and support web application-a mixed methods study

Background

Type 1 diabetes requires making numerous daily decisions to maintain normoglycemia. Support is an evidence-based self-guided web application for type 1 diabetes diabetes self-management.

Objective

Evaluate users' satisfaction with Support and investigate changes in self-reported frequency of-, fear of- hypoglycemia, and diabetes-related self-efficacy.

Methods

Adults from a Quebec type 1 diabetes registry used Support. Data was collected through online surveys or extracted from the registry at 0, 6, and 12 months (number of episodes and fear of hypoglycemia). At 6 months, participants reported satisfaction with Support and diabetes-related self-efficacy. A sub-group of 16 users was interviewed about their experience. Transcripts were analyzed using inductive and deductive approaches.

Results

In total, 207 accounts were created (35% men, 96% White, mean age and diabetes duration: 49.3 ± 13.8 and 25.2 ± 14.7 years). At 6 months, the median [Q1; Q3] satisfaction was 40/49 [35; 45] with a mean decrease in hypoglycemia frequency of 0.43 episodes over 3 days (95% CI: -0.86; 0.00, p = 0.051) and of -1.98 score for fear (95% CI: -3.76; -0.20, p = 0.030). Half of the participants reported increased diabetes-related self-efficacy.

Conclusions

Participants reported a high level of satisfaction with Support. Its use has the potential to facilitate hypoglycemia management and increase diabetes-related self-efficacy.

Trial registration

This study is registered on ClinicalTrials.gov NCT04233138.

A scoping review of applications of the Consolidated Framework for Implementation Research (CFIR) to telehealth service implementation initiatives

BACKGROUND

The Consolidated Framework for Implementation Research (CFIR), introduced in 2009, has the potential to provide a comprehensive understanding of the determinants of implementation-effectiveness of health service innovations. Although the CFIR has been increasingly used in recent years to examine factors influencing telehealth implementation, no comprehensive reviews currently exist on the scope of knowledge gained exclusively from applications of the CFIR to telehealth implementation initiatives. This review sought to address this gap.

METHODS

PRISMA-ScR criteria were used to inform a scoping review of the literature. Five academic databases (PUBMED, PROQUEST, SCIDIRECT, CINAHL, and WoS) were searched for eligible sources of evidence from 01.01.2010 through 12.31.2021. The initial search yielded a total of 18,388 records, of which, 64 peer-reviewed articles met the inclusion criteria for the review. Included articles were reviewed in full to extract data, and data collected were synthesized to address the review questions.

RESULTS

Most included articles were published during or after 2020 (64%), and a majority (77%) were qualitative or mixed-method studies seeking to understand barriers or facilitators to telehealth implementation using the CFIR. There were few comparative- or implementation-effectiveness studies containing outcome measures (5%). The database search however, revealed a growing number of protocols for implementation-effectiveness studies published since 2020. Most articles (91%) reported the CFIR Inner Setting domain (e.g., leadership engagement) to have a predominant influence over telehealth implementation success. By comparison, few articles (14%) reported the CFIR Outer Setting domain (e.g., telehealth policies) to have notable influence. While more (63%) telehealth initiatives were focused on specialty (vs primary) care, a vast majority (78%) were focused on clinical practice over medical education, healthcare administration, or population health.

CONCLUSIONS

Organized provider groups have historically paid considerable attention to advocating for telehealth policy (Outer Setting) reform. However, results suggest that for effective telehealth implementation, provider groups need to refocus their efforts on educating individual providers on the complex inter-relationships between Inner Setting constructs and telehealth implementation-effectiveness. On a separate note, the growth in implementation-effectiveness study protocols since 2020, suggests that additional outcome measures may soon be available, to provide a more nuanced understanding of the determinants of effective telehealth implementation based on the CFIR domains and constructs.

Stakeholders barriers and facilitators for the implementation of a personalised digital care pathway: a qualitative study

OBJECTIVE

A prerequisite for patient-centredness in healthcare organisations is offering patients access to adequate health information, which fits their needs. A personalised digital care pathway (PDCP) is a tool that facilitates the provision of tailored and timely information. Despite its potential, barriers influence the implementation of digital tools in healthcare organisations. Therefore, we investigated the perceived barriers and facilitators for implementation of the PDCP among stakeholders.

DESIGN

A qualitative study was conducted to acquire insight into perceptions of the stakeholders involved in the implementation of a digital care pathway in three diverse patient groups.

SETTING

This study is part of the PDCP research project in a large academic hospital in the Netherlands.

PARTICIPANTS

Purposive sampling was used to recruit internal stakeholders (eg, healthcare professionals, employees of the supporting departments) and external stakeholders (eg, employees of the external PDCP supplier). In addition, existing semistructured interviews with patients involved in pilot implementation (n=24) were used to verify the findings.

RESULTS

We conducted 25 semistructured interviews using the Consolidated Framework for Implementation Research. Content analyses yielded four themes: (1) stakeholders' perceptions of the PDCP (eg, perceived usefulness); (2) characteristics of the individuals involved and the implementation process (eg, individuals express resistance to change); (3) organisational readiness (eg, lack of resources); and (4) collaboration within the organisation (eg, mutual communication, multidisciplinary codesign). The main barriers mentioned by patients were duration of first activation and necessity for up-to-date content. In addition, the most facilitating factor for patients was user-friendliness.

CONCLUSION

Our findings emphasise the importance of gaining insights into the various perspectives of stakeholder groups, including patients, regarding the implementation of the PDCP. The perceived barriers and facilitators can be used to improve the PDCP implementation plan and tailor the development and improvement of other digital patient communication tools.

Technology-supported models of nutrition care: Perspectives of health service providers

Objective

To determine the perspectives to the adoption, scale-up, sustainability, and spread of technology-supported models of nutrition care, in hospital and ambulatory care settings.

Methods

Thirty-one health service providers participated in individual semi-structured interviews from a tertiary health service in Queensland, Australia. The Non-adoption, Abandonment, and challenges to the Scale up, Spread and Sustainability (NASSS) framework, designed to evaluate technology-supported models’ success, informed the qualitative design.

Results

Key findings were that technology-supported models of care could benefit many chronic condition patient groups; dietitians are well suited to adopting this technology: and the value proposition in creating efficiency gains in the health service. However, challenges of transitioning and sustainability were identified. Perceived enablers for technology supported models of care included: previous intentions for technology supported models of care prior to the 2019 novel coronavirus pandemic; opportunity for clinicians to complete higher valued tasks; and integration of technology systems and assisted staff roles. Perceived barriers included: suitability for patients is dependent on experience and ability to use technology, varied confidence by clinicians when conducting clinical assessments; high investment required for set up and ongoing maintenance; and patients desire for adopting face-to-face care over technology. Health service providers perceived that embedding and adapting such models requires maintenance of high-quality service and continued research.

Conclusions

Health service providers recognize adopting, scaling, and sustaining technology-supported models of nutrition care benefits patients, clinicians, and health services in general. Robust clinical trials and health service evaluations of technology-supported models of care, across practice settings are now needed.

Feasibility of a Digital Patient–Provider Communication Intervention to Support Shared Decision Making in Chronic Health Care, InvolveMe: A Pilot Study (Preprint)

Background

Enhanced communication with health care providers (HCPs) can improve symptom management and health-related quality of life (HRQoL) for patients with chronic health conditions. Access to appropriate communication venues is needed to improve communication, however. As such, digital communication interventions mediated by patient portals carry the potential to support patient-provider communication and interaction and through this, also facilitate shared decision-making (SDM). The InvolveMe intervention was designed to provide patients with the opportunity to communicate symptoms and informational needs prior to consultation via digital assessment, including prioritizing what is most important to discuss with their HCPs, as well as to interact with HCPs through secure messages between outpatient visits.

Objective

The aim of this study was to assess the feasibility of the InvolveMe intervention by investigating acceptability, demand (ie, system use), and limited efficacy.

Methods

The study was designed as a single-arm, pre-post feasibility study combining quantitative and qualitative methods for data collection. Patients from an endocrine outpatient clinic were invited to use the InvolveMe intervention for 3 months, and HCPs administering InvolveMe were invited to participate in a focus group. Guided by descriptions of how to design feasibility studies by Bowen et al, feasibility was tested by exploring (1) acceptability, using data collected during recruitment from patient participants and nonparticipants (ie, declined to participate or did not meet study requirements), HCP experiences with recruitment, and the System Usability Scale (SUS); (2) demand via exploration of system use through extraction of system log data and HCP experiences with system use; and (3) limited efficacy testing, via exploration of potential effects from the Short-Form Health Survey (RAND 36), Hospital Anxiety and Depression Scale, and Health Literacy Questionnaire.

Results

Patient participants (N=23) were a median 54 (range 26-78) years old and primarily male (14/23, 61%). Nonparticipants (N=16) were a median 73 (range 55-80) years old and primarily male (12/16, 75%). The average SUS score was 72.2, indicating good system usability. Assessments were completed by 8 participants from home prior to outpatient visits. The assessments entailed various bodily symptoms and needs for information. Participants sent 17 secure messages related to patient administrative matters, symptoms, and challenges. Focus group participants (N=4) were all female and registered nurses. Data were analyzed in 2 predefined themes: Acceptability and Demand. Acceptability included the subthemes intervention attractiveness and intervention suitability. Demand included the subthemes elements of SDM and intervention challenges and opportunities. All patient participants completed outcome measures at baseline, and 19 (19/23, 83%) completed outcome measures at 3 months. These preliminary efficacy findings were mixed and inconclusive.

Conclusions

The study design provided findings from both patient and HCP perspectives and supported feasibility of the InvolveMe intervention. The investigation of acceptability and demand supported the potential for remote SDM mediated by patient portals using assessments and secure messages.

Trial Registration

ClinicalTrials.gov NCT NCT04218721; https://www.clinicaltrials.gov/ct2/show/NCT04218721