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1.
Soc Sci Med ; 353: 116962, 2024 May 12.
Article in English | MEDLINE | ID: mdl-38908092

ABSTRACT

Relationships, built on trust, knowledge, regard, and loyalty, have been demonstrated to be fundamental to health care delivery. Strong relationships between patients and providers have been linked to more compassionate care delivery, and better patient experience and outcomes, and may be particularly important in primary care. The rapid adoption of digital technologies since the onset of COVID-19 has led health care systems to seriously consider a "digital-first" primary care delivery model. Questions remain regarding what impact this transformation will have on the therapeutic relationship. Using a rapid ethnographic approach this study explores how patient and provider understandings of therapeutic relationships and digital health technologies may influence relationship-building or maintenance between patients with complex care needs and their care providers. Three team-based primary care sites in Toronto, Ontario, Canada were included in the study. Across the three sites 9 patients with chronic health conditions, 1 caregiver, and 10 healthcare providers (including family physicians, family medicine residents, social workers, and nurse practitioners) participated. Interviews were conducted with all participants and 8 observations of virtual clinical encounters (phone and video visits) were conducted. Using social representation theory as a lens, analysis revealed that participants' constructions of therapeutic relationships and digital technologies were informed by their identities, experiences, and expectations. For participants to see technologies as enabling to the therapeutic relationship, there needed to be alignment between how participants viewed the role of technology in care and in their lives, and how they recognized (or constructed) a good therapeutic relationship. This exploratory work suggests the need to think about how both patients' and providers' views of technology may determine whether digital technologies can be leveraged to meet patient needs while maintaining, or building, strong therapeutic relationships.

2.
JMIR Hum Factors ; 9(4): e37684, 2022 Nov 30.
Article in English | MEDLINE | ID: mdl-36449335

ABSTRACT

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.

3.
Ann Fam Med ; 20(Suppl 1)2022 Apr 01.
Article in English | MEDLINE | ID: mdl-38270909

ABSTRACT

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.

4.
Digit Health ; 7: 20552076211045579, 2021.
Article in English | MEDLINE | ID: mdl-34868614

ABSTRACT

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.

5.
J Med Internet Res ; 23(12): e29071, 2021 12 02.
Article in English | MEDLINE | ID: mdl-34860675

ABSTRACT

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.


Subject(s)
Quality of Life , Research Design , Aged , Anthropology, Cultural , Electronics , Humans , Patient Reported Outcome Measures
6.
JMIR Res Protoc ; 9(11): e20220, 2020 Nov 25.
Article in English | MEDLINE | ID: mdl-33237037

ABSTRACT

BACKGROUND: Older adults with multimorbidity and complex care needs (CCN) are among those most likely to experience frequent care transitions between settings, particularly from hospital to home. Transition periods mark vulnerable moments in care for individuals with CCN. Poor communication and incomplete information transfer between clinicians and organizations involved in the transition from hospital to home can impede access to needed support and resources. Establishing digitally supported communication that enables person-centered care and supported self-management may offer significant advantages as we support older adults with CCN transitioning from hospital to home. OBJECTIVE: This protocol outlines the plan for the development, implementation, and evaluation of a Digital Bridge co-designed to support person-centered health care transitions for older adults with CCN. The Digital Bridge builds on the foundation of two validated technologies: Care Connector, designed to improve interprofessional communication in hospital, and the electronic Patient-Reported Outcomes (ePRO) tool, designed to support goal-oriented care planning and self-management in primary care settings. This project poses three overarching research questions that focus on adapting the technology to local contexts, evaluating the impact of the Digital Bridge in relation to the quadruple aim, and exploring the potential to scale and spread the technology. METHODS: The study includes two phases: workflow co-design (phase 1), followed by implementation and evaluation (phase 2). Phase 1 will include iterative co-design working groups with patients, caregivers, hospital providers, and primary care providers to develop a transition workflow that will leverage the use of Care Connector and ePRO to support communication through the transition process. Phase 2 will include implementation and evaluation of the Digital Bridge within two hospital systems in Ontario in acute and rehab settings (600 patients: 300 baseline and 300 implementation). The primary outcome measure for this study is the Care Transitions Measure-3 to assess transition quality. An embedded ethnography will be included to capture context and process data to inform the implementation assessment and development of a scale and spread strategy. An Integrated Knowledge Translation approach is taken to inform the study. An advisory group will be established to provide insight and feedback regarding the project design and implementation, leading the development of the project knowledge translation strategy and associated outputs. RESULTS: This project is underway and expected to be complete by Spring 2024. CONCLUSIONS: Given the real-world implementation of Digital Bridge, practice changes in the research sites and variable adherence to the implementation protocols are likely. Capturing and understanding these considerations through a mixed-methods approach will help identify the range of factors that may influence study results. Should a favorable evaluation suggest wide adoption of the proposed intervention, this project could lead to positive impact at patient, clinician, organizational, and health system levels. TRIAL REGISTRATION: ClinicalTrials.gov NCT04287192; https://clinicaltrials.gov/ct2/show/NCT04287192. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/20220.

7.
Trop Med Health ; 48: 2, 2020.
Article in English | MEDLINE | ID: mdl-31992948

ABSTRACT

Entamoeba histolytica (E. histolytica) is a facultative protozoan parasite implicated in amoebic liver abscesses (ALA), the most common extraintestinal manifestation of this infection. E. histolytica is endemic to sub-tropical and tropical countries and has been a major public health concern in northern Sri Lanka (SLK) for the last three decades. This has been attributed to a multitude of factors such as poor sanitation, hygiene, male sex, middle age, overcrowding, unsanitary practices in the production of indigenous alcoholic beverages, and alcohol consumption. Additionally, while rates of E. histolytica have declined substantially throughout the rest of the island, largely due to better infrastructure, it remains pervasive in the northern peninsula, which is generally less developed. Infection arises primarily from fecal-oral transmission through the consumption of contaminated drinking water containing cysts. Upon ingestion, cysts multiply into trophozoites and colonize the host colonic mucosa using lectin and cysteine proteases as virulence factors, leading to host invasion. Symptoms occur along a spectrum, from asymptomatology, to pyrexia, abdominal cramping, and amoebic dysentery. Colonization of the colon results in the formation of distinct flask-shaped ulcers along the epithelium, and eventual penetration of the lamina propria via the production of matrix metalloproteinases. ALA then develops through trophozoite migration via the mesenteric hepatic portal circulation, where microabscesses coalesce to form a single, large right-lobe abscess, commonly on the posterior aspect. The progression of infection to invasive disease is contingent on the unique interplay between host and pathogen factors, such as the strength of host-immunity to overcome infection and inherent pathogenicity of the Entamoeba species. As a preventable illness, E. histolytica complications such as ALA impose a significant burden on the healthcare system. This mini-review highlights epidemiological trends, risk factors, diagnostic modalities, treatment approaches, and opportunities for prevention of E. histolytica-induced ALA, to help address this endemic problem on the island of SLK.

8.
Healthc Q ; 22(1): 30-35, 2019 Apr.
Article in English | MEDLINE | ID: mdl-31244465

ABSTRACT

Older adults and their families often struggle in navigating an increasingly fragmented healthcare system when it becomes increasingly difficult to receive care beyond their homes in the face of advanced illness, frailty and complex care needs. The provision of integrated home-based primary care has demonstrated improved patient and caregiver experiences and reduced healthcare costs when primary care providers collaborate in delivering care as part of larger interprofessional teams. In this trans-Canada portrait of five urban home-based primary care programs, their core features are highlighted to provide a roadmap on how to integrate this form of care into a Patient's Medical Home in partnership with acute and home-care providers.


Subject(s)
Frail Elderly , Home Care Services/organization & administration , Primary Health Care/organization & administration , Aged , Aged, 80 and over , Canada , Caregivers , Emergency Service, Hospital/statistics & numerical data , House Calls , Humans , Patient Care Team/organization & administration , Patient-Centered Care/methods , Patient-Centered Care/organization & administration , Primary Health Care/methods
9.
JMIR Form Res ; 3(1): e11950, 2019 Feb 27.
Article in English | MEDLINE | ID: mdl-30810532

ABSTRACT

BACKGROUND: Designing appropriate studies for evaluating complex interventions, such as electronic health solutions to support integrated care, remains a methodological challenge. With the many moving parts of complex interventions, it is not always clear how program activities are connected to anticipated and unanticipated outcomes. Exploratory trials can be used to uncover determinants (or mechanisms) to inform content theory that underpins complex interventions before designing a full evaluation plan. OBJECTIVE: A multimethod exploratory trial of the electronic patient-reported outcome (ePRO) tool was conducted to uncover contexts, processes and outcome variables, and the mechanisms that link these variables before full-scale evaluation. ePRO is a mobile app and portal designed to support goal-oriented care in interdisciplinary primary health care practices (clinical-level integration). This paper offers evaluation findings and methodological insight on how to use exploratory trial data to identify relevant context, process, and outcome variables, as well as central (necessary to achieving outcomes) versus peripheral (less critical and potentially context dependent) mechanisms at play. METHODS: The 4-month trial was conducted in 2 primary health care practices in Toronto, Canada. The patients were randomized into control and intervention groups and compared pre and post on quality of life and activation outcome measures. Semistructured interviews were conducted with providers and patients in the intervention group. Narrative analysis was used to uncover dominant mechanisms that inform the intervention's content theory (how context and process variables are linked to outcomes). RESULTS: Overall, 7 providers, 1 administrator, and 16 patients (7-control, 9-intervention) participated in the study. This study uncovered many complex and nuanced context, process, and outcome variables at play in the intervention. Narrative analysis of patient and provider interviews revealed dominant story lines that help to tease apart central and peripheral mechanisms driving the intervention. Provider and patient story lines centered around fitting the new intervention into everyday work and life of patients and providers and meaningfulness of the intervention. These themes were moderated by patient-provider relationships going into and throughout the intervention, their comfort with technology, and the research process. CONCLUSIONS: Identifying dominant story lines using narrative analysis helps to identify the most relevant context and process variables likely to influence study outcomes. Normalization process theory emerges as a useful theory to uncover underlying mechanisms because of its emphasis on the social production and normalization of technological, processual, and social aspects of work; all found to be critical to our intervention. The number of complex, overlapping influencing variables suggests that complex interventions such as ePRO require us to pay careful attention to central versus peripheral mechanisms that will influence study outcomes. The narrative methods presented here are shown to be useful in uncovering these mechanisms and help to guide subsequent larger evaluation studies.

10.
CMAJ ; 190(34): E1022, 2018 08 27.
Article in English | MEDLINE | ID: mdl-30150246
11.
BMJ Open ; 6(5): e011869, 2016 05 25.
Article in English | MEDLINE | ID: mdl-27225653

ABSTRACT

INTRODUCTION: An increasing number of people are living longer with multiple health and social care needs, and may rely heavily on health system resources. When dealing with multiple conditions, patients, caregivers and healthcare providers (HCPs) often experience high treatment burden due to unclear care trajectories, a myriad of treatment decisions and few guidelines on how to manage care needs. By understanding patient and caregiver priorities, and setting treatment goals, HCPs may help improve patient outcomes and experiences. This study aims to examine the extent and nature of the literature on treatment goal setting in complex patients, identify gaps in evidence and areas for further inquiry and guide a research programme to develop definitions, measures and recommendations for treatment goal setting. METHODS AND ANALYSIS: This study protocol outlines a scoping review of the peer reviewed and the grey literature, using established scoping review methodology. Literature will be identified using a multidatabase and grey literature search strategy developed by two librarians. Papers and reports on the topic of goal setting that address complexity or complex patients will be included. Results of the search will be screened independently by two reviewers and included studies will be abstracted and charted in duplicate. ETHICS AND DISSEMINATION: Ethics approval is not required for this scoping review. Working with the knowledge users on the team, we will prepare educational materials and presentations to disseminate study findings to HCPs, caregivers and patients, and at relevant national and international conferences. Results will also be published in a peer-reviewed journal.


Subject(s)
Comorbidity , Patient Care Planning , Caregivers , Humans , Patient Preference , Research Design , Review Literature as Topic
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