ABSTRACT
BACKGROUND: Hospitalized patients with complex care needs require an interprofessional team of health professionals working together to support their care in hospitals and during discharge planning. However, interprofessional communication and collaboration in inpatient settings are often fragmented and inefficient, leading to poor patient outcomes and provider frustration. Health information technology can potentially help improve team communication and collaboration; however, to date, evidence of its effectiveness is lacking. There are also concerns that current implementations might further fragment communication and increase the clinician burden without proven benefits. OBJECTIVE: In this study, we aimed to generate transferrable lessons for future designers of health information technology tools that facilitate team communication and collaboration. METHODS: A secondary analysis of the qualitative component of the mixed methods evaluation was performed. The electronic communication and collaboration platform was implemented in 2 general internal medicine wards in a large community teaching hospital in Mississauga, Ontario, Canada. Fifteen inpatient clinicians in those wards, including nurses, physicians, and allied health care providers, were recruited to participate in semistructured interviews about their experience with a co-designed electronic communication and collaboration tool. Data were analyzed using the Technology Acceptance Model, and themes related to the constructs of perceived ease of use (PEOU) and perceived usefulness (PU) were identified. RESULTS: A secondary analysis guided by the Technology Acceptance Model highlighted important points. Intuitive design precluded training as a barrier to use, but lack of training may hinder participants' PEOU if features designed for efficiency are not discovered by users. Organized information was found to be useful for creating a comprehensive clinical picture of each patient and facilitating improved handovers. However, information needs to be both comprehensive and succinct, and information overload may negatively impact PEOU. The mixed paper and electronic practice environment also negatively impacted PEOU owing to unavoidable double documentation and the need for printing. Participants perceived the tool to be useful as it improved efficiency in information retrieval and documentation, improved the handover process, afforded another mode of communication when face-to-face communication was impractical, and improved shared awareness. The PU of this tool depends on its optimal use by all team members. CONCLUSIONS: Electronic tools can support communication and collaboration among interprofessional teams caring for patients with complex needs. There are transferable lessons learned that can improve the PU and PEOU of future systems.
ABSTRACT
BACKGROUND: Older adults experience a high risk of adverse events during hospital-to-home transitions. Implementation barriers have prevented widespread clinical uptake of the various digital health technologies that aim to support hospital-to-home transitions. OBJECTIVE: To guide the development of a digital health intervention to support transitions from hospital to home (the Digital Bridge intervention), the specific objectives of this review were to describe the various roles and functions of health care providers supporting hospital-to-home transitions for older adults, allowing future technologies to be more targeted to support their work; describe the types of digital health interventions used to facilitate the transition from hospital to home for older adults and elucidate how these interventions support the roles and functions of providers; describe the lessons learned from the design and implementation of these interventions; and identify opportunities to improve the fit between technology and provider functions within the Digital Bridge intervention and other transition-focused digital health interventions. METHODS: This 2-phase rapid review involved a selective review of providers' roles and their functions during hospital-to-home transitions (phase 1) and a structured literature review on digital health interventions used to support older adults' hospital-to-home transitions (phase 2). During the analysis, the technology functions identified in phase 2 were linked to the provider roles and functions identified in phase 1. RESULTS: In phase 1, various provider roles were identified that facilitated hospital-to-home transitions, including navigation-specific roles and the roles of nurses and physicians. The key transition functions performed by providers were related to the 3 categories of continuity of care (ie, informational, management, and relational continuity). Phase 2, included articles (n=142) that reported digital health interventions targeting various medical conditions or groups. Most digital health interventions supported management continuity (eg, follow-up, assessment, and monitoring of patients' status after hospital discharge), whereas informational and relational continuity were the least supported. The lessons learned from the interventions were categorized into technology- and research-related challenges and opportunities and informed several recommendations to guide the design of transition-focused digital health interventions. CONCLUSIONS: This review highlights the need for Digital Bridge and other digital health interventions to align the design and delivery of digital health interventions with provider functions, design and test interventions with older adults, and examine multilevel outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2020-045596.
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 MeasuresABSTRACT
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.
Subject(s)
Goals , Health Personnel , Electronics , Humans , Patient Reported Outcome Measures , Primary Health CareABSTRACT
Healthcare system reforms are pushing beyond primary care to more holistic, integrated models of community based primary health care (CBPHC) to better meet the needs of aging populations and their carers. Across the world CBPHC is at varying stages of evolution and no standard model exists. In order to scale up and spread successful models of care it is important to study what works well and why to support broader efforts to implement, scale-up and spread promising innovations. The first step in this endevour is to select appropriate cases to study. In this paper we share our adaptation of case study methodology to iteratively select models of CBPHC in three jurisdictions: Ontario, Quebec (Canada) and New Zealand. A combination of literataure searches (of empirical and gray sources) and stakeholder engagement enabled the selection of cases to study, with the latter providing the most fruitful method. We conclude that it is possible to use personal networks and experts exclusively. It is not clear how much value formal searching adds over and above expert advice. However in a situation where there is no existing definitive list of potential cases, and no acknowledged "gold standard" way to create such a list, it seems appropriate to gather cases using multiple methods and to document those methods systematically.
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OBJECTIVE: The objectives of this paper are: (a) to determine Canadian family physicians' attitudes towards cognitive screening, (b) to identify what cognitive screening tools are being used, (c) to investigate how they rate these tools' effectiveness and (d) to identify the attributes of an ideal cognitive screening tool for the primary care setting. METHOD: Postal survey questionnaire of a random sample of 249 practicing members of the College of Family Physicians of Canada. RESULTS: Response rate was 52%. The majority of physicians 'Agreed' or 'Strongly Agreed' that cognitive impairment assessment is important in primary care (89%), and 'Disagreed' or 'Strongly Disagreed' that it should be left to specialists (92%). However, 35% were undecided when asked if assessment in primary care would lead to better outcomes. The most frequently used assessment tools were Mini-Mental Status Exam (MMSE), Clock Drawing, Delayed Word Recall, Standardized MMSE and Alternating Sequences, but were mainly rated as only 'Good' in terms of perceived effectiveness. Validity/accuracy was identified as the top attribute of an ideal screening tool. Female physicians were more likely to have a positive attitude towards cognitive assessment. Younger physicians, those in group practices, or those with either Subject(s)
Attitude of Health Personnel
, Cognition Disorders/diagnosis
, Mass Screening
, Physicians, Primary Care/psychology
, Adult
, Age Factors
, Canada
, Female
, Health Care Surveys
, Humans
, Male
, Mass Screening/methods
, Middle Aged
, Physician's Role
, Sex Factors
, Surveys and Questionnaires