Information and Communications Technologies Enabling Integrated Primary Care for Patients With Complex Care Needs: Scoping Review.

BACKGROUND: Information and communications technologies (ICTs) are recognized as critical enablers of integrated primary care to support patients with multiple chronic conditions. Although ICT-enabled integrated primary care holds promise in supporting patients with complex care needs through team-based and continued care, critical implementation factors regarding what ICTs are available and how they enable this model are yet to be mapped in the literature. OBJECTIVE: This scoping review addressed the current knowledge gap by answering the following research question: What ICTs are used in delivering integrated primary care to patients with complex care needs? METHODS: The Arksey and O'Malley method enhanced by the work by Levac et al was used to guide this scoping review. In total, 4 electronic medical databases were accessed-MEDLINE, Embase, CINAHL, and PsycINFO-collecting studies published between January 2000 and December 2021. Identified peer-reviewed articles were screened. Relevant studies were charted, collated, and analyzed using the Rainbow Model of Integrated Care and the eHealth Enhanced Chronic Care Model. RESULTS: A total of 52,216 articles were identified, of which 31 (0.06%) met the review's eligibility criteria. In the current literature, ICTs are used to serve the following functions in the integrated primary care setting: information sharing, self-management support, clinical decision-making, and remote service delivery. Integration efforts are supported by ICTs by promoting teamwork and coordinating clinical services across teams and organizations. Patient, provider, organizational, and technological implementation factors are considered important for ICT-based interventions in the integrated primary care setting. CONCLUSIONS: ICTs play a critical role in enabling clinical and professional integration in the primary care setting to meet the health system-related needs of patients with complex care needs. Future research is needed to explore how to integrate technologies at an organizational and system level to create a health system that is well prepared to optimize technologies to support patients with complex care needs.

Association of prescribed oral stimulants on cocaine use among patients enrolled in opioid agonist treatment: A retrospective longitudinal cohort study.

Objectives: The objective of this study was to measure the association of prescribed oral stimulants with the consumption of cocaine among a population of patients receiving Opioid Agonist Therapy (OAT). Methods: The study was a retrospective clinical cohort study using the medical records of all patients receiving OAT who attended treatment clinics within the Canadian Addiction Treatment Centers (CATC) in Ontario from April 2014 to February 2021. Linear mixed-effects models were fit for the exposure of prescribed oral stimulants, and the outcome of a positive urinalysis drug screen for cocaine. Covariates for age, sex, and a random effect for patients were fitted to account for differences between and within patient observations over time. Results: Among patients receiving OAT therapy n = 314 patients were prescribed oral stimulants and n = 11,879 patients were not prescribed oral stimulants among Ontario CATC clinics (n = 92, n = 145 physicians), the mean age at enrollment for patients receiving oral stimulants was 37.0, SD = 8.8, with 43.6% female patients and for patients not receiving oral stimulants mean age was 36.6, SD = 10.7, with 39.6% female patients. Linear mixed effects models showed no difference in cocaine-positive urine tests over time for fixed effects B = 0.001, however, when considering the Interclass correlation coefficient (ICC) between the fixed effects, we found that time since the prescription of an oral stimulant was associated with a decrease of ICC = -0.14 in cocaine positive urine tests. Increasing age at prescription ICC = -0.92, and being male ICC = -0.23 were associated with decreasing cocaine-positive urine. Conclusion: The use of oral stimulant prescriptions to treat cocaine use had no clinically significant benefit in a real-world setting. Patients who receive prescriptions for oral stimulants consume more cocaine before and after treatment compared to patients without an oral stimulant prescription. We also observed that cocaine use was reduced with increased time since treatment initiation.

Examining Use Behavior of a Goal-Supporting mHealth App in Primary Care Among Patients With Multiple Chronic Conditions: Qualitative Descriptive Study.

BACKGROUND: Although mobile health (mHealth) apps are increasingly being used to support patients with multiple chronic conditions (multimorbidity), most mHealth apps experience low interaction and eventual abandonment. To tackle this engagement issue, when developing an mHealth program, it is important to understand the social-behavioral factors that affect patients' use behavior. OBJECTIVE: The aim of this study was to explore the social and behavioral factors contributing to patients' use behavior of an mHealth app called the electronic Patient-Reported Outcome (ePRO). The ePRO app supports goal-oriented care delivery in interdisciplinary primary care models. METHODS: A descriptive qualitative study was used to analyze interview data collected for a larger mixed methods pragmatic trial. The original 15-month trial was conducted in 6 primary care teams across Ontario, Canada, between 2018 and 2019. The eligibility criteria for patients were being aged ≥60 years with ≥10 visits within the previous 12 months of study enrollment. For this analysis, patients were classified as long-term or short-term users based on their length of use of the ePRO app during the trial. The Social Cognitive Theory by Bandura was used to categorize social-behavioral factors that contributed to patients' decision to continue or discontinue using the app. RESULTS: The patient-provider relationship emerged as a key factor that shaped patients' experiences with the app and subsequent decision to continue using the app. Other factors that contributed to patients' decision to continue using the app were personal and social circumstances, perceived usefulness, patients' previous experience with goal-related behaviors, and confidence in one's capability. There was an overlap of experience between long- and short-term app users but, in general, long-term users perceived the app to be more useful and their goals to be more meaningful than short-term app users. This observation was complicated by the fact that patient health-related goals were dynamic and changed over time. CONCLUSIONS: Complex patients' use behavior of a goal-supporting mHealth app is shaped by an array of sociobehavioral factors that can evolve. To tackle this dynamism, there should be an emphasis on creating adaptable health technologies that are easily customizable by patients and able to respond to their changing contexts and needs. TRIAL REGISTRATION: ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954.

Information and Communication Technologies (ICTs) enabling integrated primary care for complex patients: a protocol for a scoping review.

INTRODUCTION: An increasing number of individuals are living with multiple chronic conditions, often combined with psychosocial complexities. For these patients with complex conditions, an integrated primary care model that provides care coordination and a team-based approach can help manage their multiple needs. Information and communication technologies (ICTs) are recognized as a critical enabler of integrated primary care. A better understanding of the use of ICTs in an integrated care setting and how ICTs are being leveraged would be beneficial to identify knowledge gaps and could lead to successful implementation for ICT-based interventions. OBJECTIVE: This study will systematically scope the literature on the topic of ICT-enabled integrated healthcare delivery models for patients with complex care needs to identify which technologies have been used in integrated primary care settings. METHOD: This study protocol outlines a scoping review of the peer-reviewed literature, using Arksey and O'Malley's (enhanced by Levac et al.) scoping review methodology. Peer-reviewed literature will be identified using a multi-database search strategy. The results of the search will be screened, abstracted, and charted in duplicate by six research team members. DISCUSSION: The key findings of the study will be thematically analyzed to describe the implemented ICTs aimed for complex patients within the integrated primary care model. The finding will highlight what types of ICTs are being put in place to support these models, and how these ICTs are enabling care integration. This review will be the first step to formally identify how ICT is used to support integrated primary health care models. The results will be disseminated through peer-reviewed publications, conference presentations, and special interest groups.

Measuring treatment attrition at various stages of engagement in Opioid Agonist Treatment in Ontario Canada using a cascade of care framework.

BACKGROUND: The cascade of care framework is an effective way to measure attrition at various stages of engagement in Opioid Agonist Treatment (OAT). The primary objective of the study was to describe the cascade of care for patients who have accessed OAT from a network of specialized addiction clinics in Ontario, Canada. The secondary objectives were to evaluate correlates associated with retention in OAT at various stages and the impact of patients' location of the residence on retention in OAT. DESIGN: A multi-clinic retrospective cohort study was conducted using electronic medical record (EMR) data from the largest network of OAT clinics in Canada (70 clinics) from 2014 to 2020. Study participants included all patients who received OAT from the network of clinics during the study period. MEASUREMENTS: In this study, four stages of the cascade of care framework were operationalized to identify treatment engagement patterns, including patients retained within 90 days, 90 to 365 days, one to 2 years, and more than 2 years. Correlates associated with OAT retention for 90 days, 90 to 365 days, 1 to 2 years, and more than 2 years were also evaluated and compared across rural and urban areas in northern and southern Ontario. RESULTS: A total of 32,487 patients were included in the study. Compared to patients who were retained in OAT for 90 days, patients who were retained for 90 to 365 days, 1 to 2 years, or more than 2 years were more likely to have a higher number of treatment attempts, a higher number of average monthly urine drug screening and a lower proportion of positive urine drug screening results for other drug use. CONCLUSION: Distinct sociodemographic and clinical factors are likely to influence treatment retention at various stages of engagement along the OAT continuum. Research is required to determine if tailored strategies specific to people at different stages of retention have the potential to improve outcomes of OAT.

Provider Perspectives of Barriers to Contraceptive Access and Use among Women with Substance Use Disorders.

OBJECTIVES: Previous studies conducted from the patient perspective indicate that women with substance use disorders (SUDs) experience extensive barriers to contraceptive access and use (CAU), but there is limited research investigating this topic from the provider perspective. We explored provider perspectives on the barriers to CAU for women with SUDs. As a secondary objective, we highlighted provider contraceptive counseling strategies to address patient CAU barriers. METHODS: We conducted 24 qualitative interviews with a purposeful sample of women's health providers, including medical doctors, nurse practitioners, and certified nurse-midwives. We used thematic analysis to code the interviews with inductive codes and organized findings according to levels of influence within the Dahlgren and Whitehead rainbow model, a socioecological model of health. RESULTS: Provider-reported barriers to CAU were identified at four levels of socioecological influence and included reproductive misconceptions; active substance use; trauma, interpersonal violence, and reproductive coercion; limited social support; lack of housing, employment, health insurance, and transportation; stigma; discrimination; and punitive prenatal substance use policies and child welfare reporting requirements. Strategies for addressing CAU barriers mainly focused on patient-centered communication, including open information exchange, shared decision-making, and relationship building. However, providers described disproportionately highlighting the benefits of long-acting reversible contraception (LARC) and directing conversations toward LARC when they perceived that such methods would help patients to overcome adherence and other challenges related to active substance use or logistical barriers. Notably, there was no mention of CAU facilitators during the interviews. CONCLUSIONS: Providers perceived that women with SUDs experience a range of CAU barriers, which they addressed within the clinical setting through use of both patient-centered communication and highlighting the benefits of LARC when they perceived that such methods would help clients to overcome barriers. Improving CAU for women with SUDs will require multidisciplinary, multipronged strategies that prioritize reproductive autonomy and are implemented across clinical, community, and policy settings.

Supporting goal-oriented care using mobile technology: Findings from the mixed-methods trial of the ePRO tool.

Context: Goal-oriented models of care are becoming more widely used as part of primary care delivery for older adults with multimorbidity and complex care needs. While these models hold promise, implementation remains challenging. Digital health solutions may improve adoption however, they require evaluation to determine feasibility and impact. Objective: This study evaluates the implementation and effectiveness of the electronic Patient Reported Outcome (ePRO) mobile application and portal system, designed to enable goal-oriented care delivery in inter-professional primary care practices. Study design: Multi-method pragmatic randomized control trial using a stepped-wedge design and ethnographic case studies over a 15-month period. Setting: 6 comprehensive primary care practices across Ontario. Population studied: Older adults with complex care needs; target sample 176 patients. Intervention: Patient and provider participants used the ePRO tool in addition to usual care. The 6 practices randomized into either early (3-month control; 12-month intervention) or late (6-month control; 9-month intervention) groups. Outcome measures: The Assessment of Quality of Life-4D collected at baseline and 3-month intervals. Ethnographic data (observations and interviews) collected at mid-point and end of the intervention. Outcome data were analyzed using linear models. Ethnographic data was analyzed using qualitative description and framework analysis methods, guided by Normalization Process Theory. Results: The trial experienced recruitment challenges resulting in fewer sites (n=6) and participants (n=45) than expected. As such the impact of ePRO on quality of life could not be definitively assessed; analysis trends suggest decreased quality of life for patients over both the control and intervention periods. Ethnographic data reveals a complex implementation process, in which the meaningfulness (or coherence) of the technology to individuals lives, relationships and approach chronic disease management drove adoption and perceived value or irrelevance of ePRO. Conclusions: Implementation challenges were broad and largely unexpected. The difficultly in aligning meaningfulness of a complex intervention across diverse user groups over time, suggests the intervention may not be sufficiently adaptable, or that more dynamic trial methods may be required. Including ethnographic data collection reveals critical underlying mechanisms driving digital health innovations.

Exploring the perspectives of primary care providers on use of the electronic Patient Reported Outcomes tool to support goal-oriented care: a qualitative study.

BACKGROUND: Digital health technologies can support primary care delivery, but clinical uptake in primary care is limited. This study explores enablers and barriers experienced by primary care providers when adopting new digital health technologies, using the example of the electronic Patient Reported Outcome (ePRO) tool; a mobile application and web portal designed to support goal-oriented care. To better understand implementation drivers and barriers primary care providers' usage behaviours are compared to their perspectives on ePRO utility and fit to support care for patients with complex care needs. METHODS: This qualitative sub-analysis was part of a larger trial evaluating the use of the ePRO tool in primary care. Qualitative interviews were conducted with providers at the midpoint (i.e. 4.5-6 months after ePRO implementation) and end-point (i.e. 9-12 months after ePRO implementation) of the trial. Interviews explored providers' experiences and perceptions of integrating the tool within their clinical practice. Interview data were analyzed using a hybrid thematic analysis and guided by the Technology Acceptance Model. Data from thirteen providers from three distinct primary care sites were included in the presented study. RESULTS: Three core themes were identified: (1) Perceived usefulness: perceptions of the tool's alignment with providers' typical approach to care, impact and value and fit with existing workflows influenced providers' intention to use the tool and usage behaviour; (2) Behavioural intention: providers had a high or low behavioural intention, and for some, it changed over time; and (3) Improving usage behaviour: enabling external factors and enhancing the tool's perceived ease of use may improve usage behaviour. CONCLUSIONS: Multiple refinements/iterations of the ePRO tool (e.g. enhancing the tool's alignment with provider workflows and functions) may be needed to enhance providers' usage behaviour, perceived usefulness and behavioural intention. Enabling external factors, such as organizational and IT support, are also necessary to increase providers' usage behaviour. Lessons from this study advance knowledge of technology implementation in primary care. TRIAL REGISTRATION: Clinicaltrials.gov Identified NCT02917954. Registered September 2016, https://www.clinicaltrials.gov/ct2/show/study/NCT02917954.

Assessing the Implementation and Effectiveness of the Electronic Patient-Reported Outcome Tool for Older Adults With Complex Care Needs: Mixed Methods Study.

BACKGROUND: Goal-oriented care is being adopted to deliver person-centered primary care to older adults with multimorbidity and complex care needs. Although this model holds promise, its implementation remains a challenge. Digital health solutions may enable processes to improve adoption; however, they require evaluation to determine feasibility and impact. OBJECTIVE: This study aims to evaluate the implementation and effectiveness of the electronic Patient-Reported Outcome (ePRO) mobile app and portal system, designed to enable goal-oriented care delivery in interprofessional primary care practices. The research questions driving this study are as follows: Does ePRO improve quality of life and self-management in older adults with complex needs? What mechanisms are likely driving observed outcomes? METHODS: A multimethod, pragmatic randomized controlled trial using a stepped-wedge design and ethnographic case studies was conducted over a 15-month period in 6 comprehensive primary care practices across Ontario with a target enrollment of 176 patients. The 6 practices were randomized into either early (3-month control period; 12-month intervention) or late (6-month control period; 9-month intervention) groups. The primary outcome measure of interest was the Assessment of Quality of Life-4D (AQoL-4D). Data were collected at baseline and at 3 monthly intervals for the duration of the trial. Ethnographic data included observations and interviews with patients and providers at the midpoint and end of the intervention. Outcome data were analyzed using linear models conducted at the individual level, accounting for cluster effects at the practice level, and ethnographic data were analyzed using qualitative description and framework analysis methods. RESULTS: Recruitment challenges resulted in fewer sites and participants than expected; of the 176 target, only 142 (80.6%) patients were identified as eligible to participate because of lower-than-expected provider participation and fewer-than-expected patients willing to participate or perceived as ready to engage in goal-setting. Of the 142 patients approached, 45 (32%) participated. Patients set a variety of goals related to self-management, mental health, social health, and overall well-being. Owing to underpowering, the impact of ePRO on quality of life could not be definitively assessed; however, the intervention group, ePRO plus usual care (mean 15.28, SD 18.60) demonstrated a nonsignificant decrease in quality of life (t24=-1.20; P=.24) when compared with usual care only (mean 21.76, SD 2.17). The ethnographic data reveal a complex implementation process in which the meaningfulness (or coherence) of the technology to individuals' lives and work acted as a key driver of adoption and tool appraisal. CONCLUSIONS: This trial experienced many unexpected and significant implementation challenges related to recruitment and engagement. Future studies could be improved through better alignment of the research methods and intervention to the complex and diverse clinical settings, dynamic goal-oriented care process, and readiness of provider and patient participants. TRIAL REGISTRATION: ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954.

Exploring the relationship between the usability of a goal-oriented mobile health application and non-usage attrition in patients with multimorbidity: A blended data analysis approach.

BACKGROUND: Mobile health applications are increasingly used to support the delivery of health care services to a variety of patients. Based on data obtained from a pragmatic trial of the electronic Patient Reported Outcome (ePRO) app designed to support goal-oriented care primary care, this study aims to (1) examine how patient-reported usability changed over the one-year intervention period, and (2) explore participant attrition rate of the electronic Patient Reported Outcome app over one year study period. METHODS: We performed a secondary analysis of 44 older adults with complex chronic needs enrolled in the electronic Patient Reported Outcome-digital health intervention. App usage and attrition were measured using device-generated usage logs; usability was measured using the patient-reported post-study system usability questionnaire collected at 3, 6, 9, and 12 months. Research memos were used to interpret potential contextual contributing factors to patients' overall usage and usability score pattern. A data triangulation method of both quantitative and qualitative data was used to analyze and interpret study findings. RESULTS: While there was gradual attrition in the use of the ePRO app, patients' usability scores remained consistent throughout the study period. Qualitative memos suggested patients' encounters with technical difficulties and relationship dynamics with primary providers influenced patients' adherence to the ePRO app. CONCLUSION: This study highlights that the patient-provider relationship is a key determining factor that influences complex patients' continued engagement with a Mobile health app. The finding calls attention to the measurement of usability of a Mobile health app, its impact on attrition, and contributing factors that influence patients' attrition. Trial registration: Clinicaltrials.gov Identified NCT02917954.

Educating Homecare Nurses about Deprescribing of Medications to Manage Polypharmacy for Older Adults.

The purpose of this study is to evaluate the acceptability, appropriateness, and effectiveness of educational intervention with homecare nurses about deprescribing of medications among older adults. An evaluation research study was conducted using survey design to evaluate deprescribing education with a total sample of 45 homecare nurses from three homecare organizations. Post-training evaluation data were evaluated using Likert scale and open-ended questions were analyzed using descriptive statistical analyses and qualitative thematic analysis. Post-intervention questionnaire responses provided descriptions about homecare nurses' perspectives related to deprescribing education, as well as the effectiveness of training in addressing their knowledge gaps. The pilot-testing of deprescribing learning modules and educational training revealed acceptability and suitability for future scale-up to expand its future reach and adoption by other homecare organizations. This study provided important implications into the barriers that impact the effectiveness of deprescribing education, and facilitators that support the future refinement of learning modules.

A single mindfulness session with informal caregivers of seniors living with dementia: a pilot qualitative descriptive study.

BACKGROUND: Evidence suggests that informal caregivers who are providing care for seniors with dementia experience daily stressors due to their demanding caregiving roles. Current research recognizes the positive impact of mindfulness on caregivers' well-being. However, there is an existing gap in the current literature about informal caregivers' own perceptions and understanding of mindfulness intervention. OBJECTIVE: To address this gap, this pilot study aims to explore informal caregivers' experience of a single mindfulness session and the feasibility of mindfulness to be integrated into their daily lives. METHODS: Six informal caregivers who are providing care for seniors living with dementia participated in this qualitative descriptive study. Thematic analysis was used to derive themes to understand the participants' experience of a brief mindfulness session. RESULTS: The findings of the study generated five major themes: (1) Comparison of mindfulness with other relaxation techniques; (2) Single mindfulness session as a social learning opportunity; (3) Positive impact of practicing mindfulness; (4) Perception about barriers to practicing mindfulness; and (5) Perception of self-efficacy to practice mindfulness in the future. DISCUSSION: The study participants perceived mindfulness to be beneficial for their overall well-being. In addition, as participants were beginners of mindfulness, they considered mindfulness technique to be easy to learn through single practice session and feasible to be integrated into their daily lives. CONCLUSION: This qualitative study highlights that as little as brief 15 min of mindfulness session is perceived positively by informal caregivers. There is a need for further research on the long-term outcomes of practicing mindfulness among informal caregivers of seniors.

Exploration of home care nurse's experiences in deprescribing of medications: a qualitative descriptive study.

OBJECTIVES: The aim of this study is to explore the barriers and enablers of deprescribing from the perspectives of home care nurses, as well as to conduct a scalability assessment of an educational plan to address the learning needs of home care nurses about deprescribing. METHODS: This study employed an exploratory qualitative descriptive research design, using scalability assessment from two focus groups with a total of 11 home care nurses in Ontario, Canada. Thematic analysis was used to derive themes about home care nurse's perspectives about barriers and enablers of deprescribing, as well as learning needs in relation to deprescribing approaches. RESULTS: Home care nurse's identified challenges for managing polypharmacy in older adults in home care settings, including a lack of open communication and inconsistent medication reconciliation practices. Additionally, inadequate partnership and ineffective collaboration between interprofessional healthcare providers were identified as major barriers to safe deprescribing. Furthermore, home care nurses highlighted the importance of raising awareness about deprescribing in the community, and they emphasised the need for a consistent and standardised approach in educating healthcare providers, informal caregivers and older adults about the best practices of safe deprescribing. CONCLUSION: Targeted deprescribing approaches are important in home care for optimising medication management and reducing polypharmacy in older adults. Nurses in home care play a vital role in medication management and, therefore, educational programmes must be developed to support their awareness and understanding of deprescribing. Study findings highlighted the need for the future improvement of existing programmes about safer medication management through the development of a supportive and collaborative relationship among the home care team, frail older adults and their informal caregivers.