Older Adults With Complex Care NeedsDBNCT04287192
Digital Bridge: Using Technology to Support Patient-centered Care Transitions From Hospital to Home
A study testing Digital Bridge:Tool Intervention in people with Older Adults With Complex Care Needs, run by Mount Sinai Hospital, Canada at 1 site in Canada.
Trial summary
Older adults who live with multiple chronic conditions are more likely to experience frequent admissions and discharges from hospital. These transitions are often challenging and leave people at risk of readmission. Read more about this study
- Who is it for?
- Ages 60 years and olderHealthy volunteers can take part
- Conditions the study is for
- Older Adults With Complex Care Needs
- What is being tested?
- Digital Bridge:Tool Intervention
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 600 participants
- Where
- 1 siteCanada
- Study dates
- 15 Apr 2023to 30 Dec 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 60 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Patients with anticipated discharge home will be recruited at the time of admission to one of the services (i.e medicine or rehab) in the study. Patients aged 60 and over, with CCN defined as presenting with 3 or more chronic conditions from the 16 most prominent in the population, which is an established method to identifying patients with CCN. As the technology is only currently available in English, patients (or a caregiver) must be able to speak and read English. Patients with mild cognitive impairment will not be excluded if able to provide informed consent, and engage with the intervention (independently or with caregiver aid).
Who cannot join
- Previously participated in the study (in case of re-admission); discharge destination is another acute care facility, palliative care unit, complex continuing care, or long term care; died in hospital, cannot be contacted by telephone after discharge; unable to respond to survey question for any reason and lack of availability of family members and/or other caregivers willing and able to provide assistance.
Trial locations and contacts
1 site in 1 country.
About this study
Older adults who live with multiple chronic conditions are more likely to experience frequent admissions and discharges from hospital. These transitions are often challenging and leave people at risk of readmission. Appropriate, timely and person-centred communication across all health care providers involved in transitions (in and out of hospital) as well as with patients and their families is critical to ensure a smooth and effective transition process. Digital health technologies can play an important role in improving person-centred communication across clinical settings and clinicians. This project will develop and test a Digital Bridge by connecting communication technologies already in use in hospital and primary care/community settings to improve communication between providers in hospital and in primary care, patients and family caregivers from admission to 6 months post-discharge. The investigators will engage with all the technology users to co-design the Digital Bridge, ensuring that how the investigators connect the existing technologies and adopt them into practice will meet the needs of providers, patients and their caregivers. Next hospital partners will adopt the technology into general medicine and rehabilitation services in hospital systems in Toronto (Sinai Health System) and Mississauga (Trillium Health Partners). The investigators will evaluate the Digital Bridge through a pre-post pragmatic trial, assessing impact on patient experience (quality of transition), patient outcomes (quality of life), transition processes (provider communication and teamwork), and system costs (economic evaluation). This project adopts an implementation science lens, allowing the investigators to collect qualitative data on enablers and barriers to adopting the Digital Bridge to help inform development of a scale and spread strategy.
Read the detailed description
Older adults with multi-morbidity and complex care needs (CCN) are among those most likely to experience frequent care transitions between settings, particularly from hospital to home. Many of these community-dwelling older adults fall into the category of high-cost users, who account for the majority of year over year healthcare spending in Ontario, Canada and internationally. The complexity of these individuals stems not only from their multimorbidity disease profiles, but also the social, environmental and contextual issues that make it difficult for them to manage their physical health needs. It is often the interaction of these challenges which results in frequent visits to the hospital.
When patients leave the hospital, they face challenges as they attempt to cope and adjust at home. Krumholz coined the term 'post-hospital syndrome' to describe this acquired, transient period of vulnerability post-discharge due to impaired physiological systems and depleted reserves. This depletion limits patients' ability to adjust and manage their health issues, often leading to hospital re-admission within 30 days with an acute medical illness unrelated to the original diagnosis. Poor communication and incomplete information transfer between the various clinicians and organizations providing care to CCN patients as they transition from hospital to home can impede access to needed support and resources during this vulnerable time. Studies have demonstrated that insufficient communication during the transition process can lead to poor patient outcomes and higher rates of readmission for older adults with CCN.
While improving clinician communication is important, the quality and content of that communication with patients also matters. Patients with CCN benefit most from person-centred delivery models that can adapt to their unique needs and engage them as partners in their care. Person-centred approaches have been shown to improve discharge from hospital to home by emphasizing partnership between patient and provider, improving patient self-efficacy, and through improving communication between patients, providers and within care teams. For patients with CCN, incorporating ongoing support for self-care after they return home as part of that communication can offer additional support and benefit. In sum, communication that enables person-centred care and supported self-management may offer the greatest advantages as the investigators support older adults with complex care needs transitioning from hospital to home.
Digital health technologies offer a promising and appealing solution to support this type of person-centred communication across inter-professional teams working within and between health care organizations. A systematic review of inter-professional communication in transitional care models found that information systems, as well as multi-professional care coordination support higher satisfaction and subjective quality of life for older adults. A key strength of digital solutions is their ability to foster shared situational awareness of inter-professional teams. An essential component of interdisciplinary communication, shared situational awareness is a group or team's ability to understand the "big picture" and work together towards a common goal, like transitioning a patient from hospital to home.
While these examples demonstrate the potential of digital communication platforms to improve team communication and functioning, there remain a number of issues that limit the value of current systems. First, the majority of communication systems exist within single teams or organizations, and rarely span those boundaries. Second, many available communication systems do not inherently support person-centred care delivery, as few are co-designed with patients and providers. As such, many of the available systems are not well suited to supporting the communication needs of care teams, patients and families during the time of transition from hospital back to the community. Finally, many existing systems have only been evaluated over short-periods with insufficient attention to implementation as a means to support both evidence of effectiveness as well as transferability of findings.
This project will address these three gaps by implementing and evaluating a Digital Bridge to support person-centred health care transitions for older adults with complex care needs. The Digital Bridge will: 1) span organizational and professional boundaries by enabling communication between inter-disciplinary teams working in hospital and primary care, with patients and caregivers; 2) support person-centred delivery through adoption of co-design methods to establish a workflow; and 3) be evaluated through an implementation science lens.
The Digital Bridge will integrate two tested and validated technologies that are currently in use in hospital and community settings: 1) Care Connector and 2) The electronic Patient Reported Outcomes (ePRO) tool. Care Connector is an inter-professional communication and collaboration platform initially designed in the hospital setting to support clinical teams caring for patients with CCN. The tool includes discharge communication supports like Patient Oriented Discharge Summaries (PODS), to support clinician communication and collaboration in the community and across care settings. The ePRO tool is a primary-care facing technology, co-designed with patients with CCN, their primary care providers and family caregivers to enable communication on patient-oriented goals. The investigators hypothesize that these two technologies will work synergistically by both supporting the communication and collaboration needs of clinicians and patients at the critical time of care transitions (Care Connector) and engaging patients to set goals and monitor their progress with clinicians starting in the hospital and through their transition back into the community over the longer term (ePRO).
- Conditions
- Older Adults With Complex Care Needs
- Being tested
- Digital Bridge:Tool Intervention
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Digital Bridge:Tool InterventionOther
Our Digital Bridge is an integration of the Care Connector and ePRO technologies that will support care transitions by: 1) inviting PCPs to access Care Connector while the patient is in hospital, allowing for asynchronous communication via the messaging feature for proactive discharge planning, 2) facilitating the inclusion of inter-professional recommendations in the discharge module (e.g. diet and mobility) typically missing from traditional physician generated discharge summaries, 3) electronic generation of PODS for use in patient-centred discharge teaching, 4) providing patients electronic access to PODS post discharge to facilitate use of information at home, 5) adoption of digital enabled goal-oriented process to engage patients and families in discharge process, and 6) providing ongoing self-management support for patients using ePRO for the vulnerable period 6 months post discharge.
| Study group | Role | What they receive |
|---|---|---|
| Control | No intervention | Control: Control participants will complete surveys at 4 time points (baseline, 1-2 weeks, 3 month and 6 months after discharge). The surveys will capture data on demographics, assess their transition quality, self-reported costs, and assess their quality of life. Aside from completion of these surveys, no changes to their usual care will occur. |
| (Digital Bridge intervention) | Experimental | Experimental (Digital Bridge intervention) participants will complete surveys at 4 time points (baseline, 1-2 weeks, 3 month and 6 months after discharge). The surveys will capture data on demographics, assess their transition quality, self-reported costs, assess their quality of life, and goal attainment.
One to two days before discharge, patients will work with their team to develop the PODS in Care Connector. Once the PODS is created, the patient and hospital provider will be prompted to set transition goals using the ePRO tool. Receives: Other: Digital Bridge:Tool Intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Care Transitions Measure (CTM3)
The CTM3 is a patient-reported measure of transition quality focusing on person-centredness and communication; appropriate as the focus of the Digital Bridge is to improve person-centred communication during transitions. The CTM-3 survey has been validated in similar patient populations transitioning from hospital to home and primary care, and in a systematic review of transitions measures was deemed to be the most acceptable measure of quality transitions.
Measured: At 1-2 weeks post-discharge
Secondary outcomes (6)
Assessment for Quality of Life Scale 4D -AQoL-4D
a brief survey validated in similar populations, with demonstrated responsiveness and predictive validity with regard to entrance to long-term care
Measured: At baseline, 1-2 weeks, 3 and 6 months post-discharge
Patient information sheet
This questionnaire will capture patient demographic and characteristic information such as age, gender, ethnicity, chronic illness profile, socio-economic status, and IT skills using the Patient Demographic forms.
Measured: Baseline
Provider information sheet
This questionnaire will capture provider demographic and characteristic information such as age, gender, ethnicity, chronic illness profile, socio-economic status, and IT skills using the Provider Demographic forms.
Measured: Baseline
Post-Study System Usability Questionnaire: PSSUQ
This questionnaire is designed to give an opportunity to talk about the reactions to the system that was used. These responses will help understand what aspects of the system that everyone is particularly concerned about, and the aspects everyone was satisfied with.
Measured: At 1-2weeks, 3 and 6 months post-discharge
Patient/Caregiver self-reported costs
This questionnaire will ask about time and expenses relating to managing health conditions.
Measured: At 3 and 6 months post-discharge
Caregiver information sheet
This questionnaire will allow us to understand who the caregivers are that participated in the study, and this will allow us to make sense of the data that will be collected during the working groups in a meaningful way.
Measured: Baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Feb 2020
- Study start15 Apr 2023
- Primary completion30 Mar 2026
- Study completion30 Dec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Older Adults With Complex Care NeedsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Model description
- The investigators will conduct a non-randomized control trial to understand the impact of the intervention. For each site (Sinai Health System and THP - both Mississauga and Credit Valley sites) and each service, half of the participating wards will be designated as control while the other half will be designated as intervention. The investigators will collect baseline data from all wards (control and intervention) during phase 1 while co-design is on-going and the intervention has not been deployed. During phase 2, after co-design is complete, the co-designed technology intervention and workflow will be rolled out to only the intervention wards. The investigators will then collect data (identical to what was collected at baseline) from all wards (control and intervention) to understand the impact of technology by examining the differential change between control and intervention wards (difference in difference approach).
- Masking
- None (open label)
- Enrolment
- 600 participants (actual)
Sponsor and investigators
- Lead sponsor
- Mount Sinai Hospital, Canada
- Sponsor type
- University, hospital or other
- Collaborators
- MOUNT SINAI HOSPITAL, Trillium Health Partners
- Responsible party
- Sponsor
- Investigators
- Carolyn Steele Gray, PhD, Principal investigator, Sinai Health SystemTerence Tang, MD, Principal investigator, Trillium HealthMichelle Nelson, PhD, Principal investigator, Sinai Health System
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04287192
- Sponsor's protocol ID
- Digital Bridge
- Acronym
- DB
- Status last verified
- Oct 2026
- First submitted
- 25 Feb 2020
- Last updated
- 16 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: The reported data (which includes patient information at the aggregate level) will be disseminated widely via reports, conference presentations, peer reviewed journal articles and other standard modes of knowledge translation.
Publications
Singh H, Nelson MLA, Tang T, Kuluski K, Udofia A, Molla Ghanbari H, Cunha Ventura Felipe I, Nie J, Thavorn K, Reid RJ, Wodchis W, Steele Gray C. Exploring Patient and Caregiver Work and Continuity of Care During Hospital-to-Home Transitions of Care in the Canadian Context. Health Expect. 2026 Jun;29(3):e70727. doi: 10.1111/hex.70727.
PubMed 42316937Singh H, Armas A, Law S, Tang T, Steele Gray C, Cunningham HV, Thombs R, Ellen M, Sritharan J, Nie JX, Plett D, Jarach CM, Thavorn K, Nelson MLA. How digital health solutions align with the roles and functions that support hospital to home transitions for older adults: a rapid review study protocol. BMJ Open. 2021 Feb 25;11(2):e045596. doi: 10.1136/bmjopen-2020-045596.
PubMed 33632755Steele Gray C, Tang T, Armas A, Backo-Shannon M, Harvey S, Kuluski K, Loganathan M, Nie JX, Petrie J, Ramsay T, Reid R, Thavorn K, Upshur R, Wodchis WP, Nelson M. Building a Digital Bridge to Support Patient-Centered Care Transitions From Hospital to Home for Older Adults With Complex Care Needs: Protocol for a Co-Design, Implementation, and Evaluation Study. JMIR Res Protoc. 2020 Nov 25;9(11):e20220. doi: 10.2196/20220.
PubMed 33237037
Study at a glance
From the registry record, last updated by the sponsor on 16 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Digital Bridge: Using Technology to Support Patient-centered Care Transitions From Hospital to Home
- ClinicalTrials.gov ID
- NCT04287192
- Acronym / sponsor ID
- DB / Digital Bridge
- Conditions
- Older Adults With Complex Care Needs
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 600 participants (actual)
- Lead sponsor
- Mount Sinai Hospital, CanadaUniversity, hospital or other
- Collaborators
- MOUNT SINAI HOSPITAL, Trillium Health Partners
- Study start
- 15 Apr 2023 (actual)
- Primary completion
- 30 Mar 2026 (actual)
- Study completion
- 30 Dec 2026 (estimated)
- First posted
- 27 Feb 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Older adults who live with multiple chronic conditions are more likely to experience frequent admissions and discharges from hospital. These transitions are often challenging and leave people at risk of readmission. Appropriate, timely and person-centred communication across all health care providers involved in transitions (in and out of hospital) as well as with patients and their families is critical to ensure a smooth and effective transition process. Digital health technologies can play an important role in improving person-centred communication across clinical settings and clinicians. This project will develop and test a Digital Bridge by connecting communication technologies already in use in hospital and primary care/community settings to improve communication between providers in hospital and in primary care, patients and family caregivers from admission to 6 months post-discharge. The investigators will engage with all the technology users to co-design the Digital Bridge, ensuring that how the investigators connect the existing technologies and adopt them into practice will meet the needs of providers, patients and their caregivers. Next hospital partners will adopt the technology into general medicine and rehabilitation services in hospital systems in Toronto (Sinai Health System) and Mississauga (Trillium Health Partners). The investigators will evaluate the Digital Bridge through a pre-post pragmatic trial, assessing impact on patient experience (quality of transition), patient outcomes (quality of life), transition processes (provider communication and teamwork), and system costs (economic evaluation). This project adopts an implementation science lens, allowing the investigators to collect qualitative data on enablers and barriers to adopting the Digital Bridge to help inform development of a scale and spread strategy.
Detailed description
Older adults with multi-morbidity and complex care needs (CCN) are among those most likely to experience frequent care transitions between settings, particularly from hospital to home. Many of these community-dwelling older adults fall into the category of high-cost users, who account for the majority of year over year healthcare spending in Ontario, Canada and internationally. The complexity of these individuals stems not only from their multimorbidity disease profiles, but also the social, environmental and contextual issues that make it difficult for them to manage their physical health needs. It is often the interaction of these challenges which results in frequent visits to the hospital.
When patients leave the hospital, they face challenges as they attempt to cope and adjust at home. Krumholz coined the term 'post-hospital syndrome' to describe this acquired, transient period of vulnerability post-discharge due to impaired physiological systems and depleted reserves. This depletion limits patients' ability to adjust and manage their health issues, often leading to hospital re-admission within 30 days with an acute medical illness unrelated to the original diagnosis. Poor communication and incomplete information transfer between the various clinicians and organizations providing care to CCN patients as they transition from hospital to home can impede access to needed support and resources during this vulnerable time. Studies have demonstrated that insufficient communication during the transition process can lead to poor patient outcomes and higher rates of readmission for older adults with CCN.
While improving clinician communication is important, the quality and content of that communication with patients also matters. Patients with CCN benefit most from person-centred delivery models that can adapt to their unique needs and engage them as partners in their care. Person-centred approaches have been shown to improve discharge from hospital to home by emphasizing partnership between patient and provider, improving patient self-efficacy, and through improving communication between patients, providers and within care teams. For patients with CCN, incorporating ongoing support for self-care after they return home as part of that communication can offer additional support and benefit. In sum, communication that enables person-centred care and supported self-management may offer the greatest advantages as the investigators support older adults with complex care needs transitioning from hospital to home.
Digital health technologies offer a promising and appealing solution to support this type of person-centred communication across inter-professional teams working within and between health care organizations. A systematic review of inter-professional communication in transitional care models found that information systems, as well as multi-professional care coordination support higher satisfaction and subjective quality of life for older adults. A key strength of digital solutions is their ability to foster shared situational awareness of inter-professional teams. An essential component of interdisciplinary communication, shared situational awareness is a group or team's ability to understand the "big picture" and work together towards a common goal, like transitioning a patient from hospital to home.
While these examples demonstrate the potential of digital communication platforms to improve team communication and functioning, there remain a number of issues that limit the value of current systems. First, the majority of communication systems exist within single teams or organizations, and rarely span those boundaries. Second, many available communication systems do not inherently support person-centred care delivery, as few are co-designed with patients and providers. As such, many of the available systems are not well suited to supporting the communication needs of care teams, patients and families during the time of transition from hospital back to the community. Finally, many existing systems have only been evaluated over short-periods with insufficient attention to implementation as a means to support both evidence of effectiveness as well as transferability of findings.
This project will address these three gaps by implementing and evaluating a Digital Bridge to support person-centred health care transitions for older adults with complex care needs. The Digital Bridge will: 1) span organizational and professional boundaries by enabling communication between inter-disciplinary teams working in hospital and primary care, with patients and caregivers; 2) support person-centred delivery through adoption of co-design methods to establish a workflow; and 3) be evaluated through an implementation science lens.
The Digital Bridge will integrate two tested and validated technologies that are currently in use in hospital and community settings: 1) Care Connector and 2) The electronic Patient Reported Outcomes (ePRO) tool. Care Connector is an inter-professional communication and collaboration platform initially designed in the hospital setting to support clinical teams caring for patients with CCN. The tool includes discharge communication supports like Patient Oriented Discharge Summaries (PODS), to support clinician communication and collaboration in the community and across care settings. The ePRO tool is a primary-care facing technology, co-designed with patients with CCN, their primary care providers and family caregivers to enable communication on patient-oriented goals. The investigators hypothesize that these two technologies will work synergistically by both supporting the communication and collaboration needs of clinicians and patients at the critical time of care transitions (Care Connector) and engaging patients to set goals and monitor their progress with clinicians starting in the hospital and through their transition back into the community over the longer term (ePRO).
Study design
- Primary purpose
- Supportive care
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- The investigators will conduct a non-randomized control trial to understand the impact of the intervention. For each site (Sinai Health System and THP - both Mississauga and Credit Valley sites) and each service, half of the participating wards will be designated as control while the other half will be designated as intervention. The investigators will collect baseline data from all wards (control and intervention) during phase 1 while co-design is on-going and the intervention has not been deployed. During phase 2, after co-design is complete, the co-designed technology intervention and workflow will be rolled out to only the intervention wards. The investigators will then collect data (identical to what was collected at baseline) from all wards (control and intervention) to understand the impact of technology by examining the differential change between control and intervention wards (difference in difference approach).
| Arm | Type | Receives |
|---|---|---|
| Control | No intervention | –Control: Control participants will complete surveys at 4 time points (baseline, 1-2 weeks, 3 month and 6 months after discharge). The surveys will capture data on demographics, assess their transition quality, self-reported costs, and assess their quality of life. Aside from completion of these surveys, no changes to their usual care will occur. |
| (Digital Bridge intervention) | Experimental | Other: Digital Bridge:Tool InterventionExperimental (Digital Bridge intervention) participants will complete surveys at 4 time points (baseline, 1-2 weeks, 3 month and 6 months after discharge). The surveys will capture data on demographics, assess their transition quality, self-reported costs, assess their quality of life, and goal attainment. One to two days before discharge, patients will work with their team to develop the PODS in Care Connector. Once the PODS is created, the patient and hospital provider will be prompted to set transition goals using the ePRO tool. |
Who may qualify
- Ages
- 60 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Patients with anticipated discharge home will be recruited at the time of admission to one of the services (i.e medicine or rehab) in the study. Patients aged 60 and over, with CCN defined as presenting with 3 or more chronic conditions from the 16 most prominent in the population, which is an established method to identifying patients with CCN. As the technology is only currently available in English, patients (or a caregiver) must be able to speak and read English. Patients with mild cognitive impairment will not be excluded if able to provide informed consent, and engage with the intervention (independently or with caregiver aid).
Key exclusion criteria (1 listed)
- Previously participated in the study (in case of re-admission); discharge destination is another acute care facility, palliative care unit, complex continuing care, or long term care; died in hospital, cannot be contacted by telephone after discharge; unable to respond to survey question for any reason and lack of availability of family members and/or other caregivers willing and able to provide assistance.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Digital Bridge:Tool InterventionOur Digital Bridge is an integration of the Care Connector and ePRO technologies that will support care transitions by: 1) inviting PCPs to access Care Connector while the patient is in hospital, allowing for asynchronous communication via the messaging feature for proactive discharge planning, 2) facilitating the inclusion of inter-professional recommendations in the discharge module (e.g. diet and mobility) typically missing from traditional physician generated discharge summaries, 3) electronic generation of PODS for use in patient-centred discharge teaching, 4) providing patients electronic access to PODS post discharge to facilitate use of information at home, 5) adoption of digital enabled goal-oriented process to engage patients and families in discharge process, and 6) providing ongoing self-management support for patients using ePRO for the vulnerable period 6 months post discharge. | Other | (Digital Bridge intervention) |
Primary outcome
Care Transitions Measure (CTM3)
Time frame: At 1-2 weeks post-discharge
The CTM3 is a patient-reported measure of transition quality focusing on person-centredness and communication; appropriate as the focus of the Digital Bridge is to improve person-centred communication during transitions. The CTM-3 survey has been validated in similar patient populations transitioning from hospital to home and primary care, and in a systematic review of transitions measures was deemed to be the most acceptable measure of quality transitions.
6 secondary outcomes
Assessment for Quality of Life Scale 4D -AQoL-4D
Time frame: At baseline, 1-2 weeks, 3 and 6 months post-discharge
Patient information sheet
Time frame: Baseline
Provider information sheet
Time frame: Baseline
Post-Study System Usability Questionnaire: PSSUQ
Time frame: At 1-2weeks, 3 and 6 months post-discharge
Patient/Caregiver self-reported costs
Time frame: At 3 and 6 months post-discharge
Caregiver information sheet
Time frame: Baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Oct 2026.
- Derived from this study: PubMed 42316937Singh H, Nelson MLA, Tang T, Kuluski K, Udofia A, Molla Ghanbari H, Cunha Ventura Felipe I, Nie J, Thavorn K, Reid RJ, Wodchis W, Steele Gray C. Exploring Patient and Caregiver Work and Continuity of Care During Hospital-to-Home Transitions of Care in the Canadian Context. Health Expect. 2026 Jun;29(3):e70727. doi: 10.1111/hex.70727.
- Derived from this study: PubMed 33632755Singh H, Armas A, Law S, Tang T, Steele Gray C, Cunningham HV, Thombs R, Ellen M, Sritharan J, Nie JX, Plett D, Jarach CM, Thavorn K, Nelson MLA. How digital health solutions align with the roles and functions that support hospital to home transitions for older adults: a rapid review study protocol. BMJ Open. 2021 Feb 25;11(2):e045596. doi: 10.1136/bmjopen-2020-045596.
- Derived from this study: PubMed 33237037Steele Gray C, Tang T, Armas A, Backo-Shannon M, Harvey S, Kuluski K, Loganathan M, Nie JX, Petrie J, Ramsay T, Reid R, Thavorn K, Upshur R, Wodchis WP, Nelson M. Building a Digital Bridge to Support Patient-Centered Care Transitions From Hospital to Home for Older Adults With Complex Care Needs: Protocol for a Co-Design, Implementation, and Evaluation Study. JMIR Res Protoc. 2020 Nov 25;9(11):e20220. doi: 10.2196/20220.
- Individual participant dataSharing planned: Yes. The reported data (which includes patient information at the aggregate level) will be disseminated widely via reports, conference presentations, peer reviewed journal articles and other standard modes of knowledge translation.
Related trials for Older Adults With Complex Care Needs
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Carolyn Steele Gray, PhD principal investigator
Sinai Health System
Terence Tang, MD principal investigator
Trillium Health
Michelle Nelson, PhD principal investigator
Sinai Health System
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Digital Bridge:Tool Intervention in people with Older Adults With Complex Care Needs, run by Mount Sinai Hospital, Canada at 1 site in Canada.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 16 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Care Transitions Measure (CTM3) (time frame: At 1-2 weeks post-discharge). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04287192, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Oct 2026.