Frail Elderly PatientsFrailtyNCT07580690
Improving Care for Frail Older Adults Using a Digital Needs Assessment Tool
A study testing Core: SST-informed care planning and Additional telephone calls in people with Frail Elderly Patients and Geriatric Syndromes, run by Duke-NUS Graduate Medical School at 1 site in Singapore.
Trial summary
The goal of this trial is to evaluate whether a digital needs-assessment tool can improve care planning and outcomes for frail older adults (aged 60 years and above) hospitalized in Singapore. Read more about this study
- Who is it for?
- Ages 60 years and older
- Conditions the study is for
- Frail Elderly Patients, Geriatric Syndromes, Frail Older Adults
- What is being tested?
- Core: SST-informed care planning and Additional telephone calls
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 200 participants
- Where
- 1 siteSingapore
- Study dates
- 1 May 2026to 30 Dec 2027
- 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
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Patient participant: (i) Aged >= 60 years at the time of recruitment; (ii) identified as frail, with a CFS score >= 5 and/or modified HFRS intermediate and high frailty risk (mHFRS) score >=5; (iii) Singapore citizens or permanent residents; (iv) able to speak and understand English, Chinese or Malay.
- Proxy (when responding on behalf of eligible patients): (i) Relative or friend of the patient participant; (ii) Aged 21 years or older; (iii) Familiar with the older adult's health and social situation.
Who cannot join
- Patient participant: (i) Currently involved in another study or (ii) residents of nursing homes, or (iii) patients known to home hospice or home palliative care services with a life expectancy of less than 6 months.
- Proxy: primary caregivers who are foreign domestic workers will be excluded from the study.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Singapore1 site
Changi General Hospital (CGH)
Singapore
Barbara H Rosario, FRCP (Lond), 6569366528, rosario.barbara.helen@singhealth.com.sg
About this study
Official title: Integrating Health and Social Service Needs for Frail Elders at Point of Care: Development and Evaluation of an IT-based Digital Needs-assessment Tool
The goal of this trial is to evaluate whether a digital needs-assessment tool can improve care planning and outcomes for frail older adults (aged 60 years and above) hospitalized in Singapore. The tool is designed to identify patients' health and social service needs and support better care coordination after hospital discharge.
The main questions it aims to answer are:
Read more
- Does the use of a digital needs-assessment tool improve the identification and management of health and social service needs in frail older adults?
- Does this approach improve patient outcomes, such as quality of life, care satisfaction, and healthcare utilization after discharge?
Participants will:
- Respond to a baseline questionnaire
- Receive a personalized care plan based on identified needs by the tool
- Be followed up at 1 month and 3 months after discharge through surveys
- Some participants will receive additional follow-up phone calls to review care needs and service use
- A subset of participants will take part in interviews to share their care experiences
Read the detailed description
Older adults with frailty frequently experience multiple medical, functional, and social challenges following hospital discharge. Evidence from the Health and Social Service Needs study indicates that patients discharged with unmet health and health-related social service (HASS) needs have poorer post-discharge outcomes, including increased healthcare utilization. While frailty screening is commonly used to identify high-risk patients, frailty status alone does not identify the specific actionable needs that could mitigate health deterioration or support community living.
During hospitalization, assessments of these needs are typically conducted through referrals to medical social workers, patient navigators, case managers, or geriatricians. These referrals are discretionary and vary across providers and settings, contributing to inconsistent care delivery. Such approaches are resource-intensive and difficult to sustain under workforce constraints and may lead to missed identification of needs or delays in discharge, increasing the risk of unmet needs during care transitions.
This study evaluates the implementation of a needs-based assessment approach using the Simple Segmentation Tool (SST), a brief digital instrument developed in Singapore by Matchar et al. (2017). The SST is designed to rapidly identify likely actionable HASS needs and support care planning and referral processes. The tool can be completed in approximately 2-3 minutes by trained healthcare professionals, including physicians, nurses, and case managers, and is supported by an algorithm developed by a multidisciplinary expert panel.
Following enrollment, hospital staff will complete the SST based on participants' clinical and social circumstances. Care plans will be generated using outputs from the SST and reviewed with participants and/or their caregivers. If a participant is readmitted within three weeks of discharge, the SST assessment will be repeated following the subsequent discharge to ensure that care plans reflect updated or evolving needs. Participants who decline recommended services will remain enrolled in the study but will not be counted toward the target sample size of 200 participants.
Participants will complete a baseline questionnaire during hospitalization and will be followed after discharge with structured surveys administered at one month and three months. These surveys will assess post-discharge outcomes related to health status, care experiences, and healthcare utilization. Qualitative interviews will also be conducted with a subset of patients and healthcare staff to explore experiences, perceived value, and implementation challenges associated with SST-guided care planning.
To support care coordination, internal stakeholders and external community service providers, coordinated by the Agency for Integrated Care Care-Referral Team, will use a shared framework to facilitate service linkage and care transitions. Service activation and follow-up will be tracked, and any failures in linkage will be communicated to a central coordinating team to support resolution and continuity of care.
Prior to the main study, a pilot phase involving up to 10 patient volunteers will be conducted to assess workflow feasibility, clarity of study materials, and questionnaire length. Pilot participants will provide informed consent, and data collected during this phase will not be included in research analyses. Feedback from the pilot will be used to refine study procedures and materials prior to full implementation.
- Being tested
- Core: SST-informed care planning, Additional telephone calls
- Keywords
- Frail Older Adults, Simple Segmentation Tool, Integrated Care, Care Coordination, Needs Assessment Tool, Health and Health-related Social Service
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Core: SST-informed care planningBehavioural
The Simple Segmentation Tool (SST) is used to assess multidimensional needs and generate individualized care recommendations. Participants receive SST-informed care plan and referral to appropriate health and social services.
Additional telephone callsBehavioural
Participants will receive two structured post-discharge care coordination phone calls to support service uptake, address barriers, and facilitate follow-up on recommended services.
| Study group | Role | What they receive |
|---|---|---|
| SST + care coordination calls | Experimental | Participants will receive a digital needs assessment during hospitalization and a personalized care plan. After discharge, participants will be randomized in a 1:3 ratio. Participants will receive two follow-up calls from care coordinators to review care needs and support care coordination. Receives: Behavioral: Core: SST-informed care planning; Behavioral: Additional telephone calls |
| SST only | Experimental | Participants will receive a digital needs assessment during hospitalization and a personalized care plan. Receives: Behavioral: Core: SST-informed care planning |
What is being measured
The primary outcome is the main question the study is designed to answer.
Service initiation rate
The proportion of enrolled participants who successfully initiate at least one recommended health or social support service
Measured: 30 days after discharge
Secondary outcomes (11)
Health-related quality of life
Change in health-related quality of life measured using the 5-level EQ-5D (EQ-5D-5L). The EQ-5D-5L essentially consists of the EQ-5D descriptive system, where Index Score calculated based on country-specific preference (Singapore in this context) and the EuroQol Visual Analogue Scale (EQ-VAS) (range: 0 to 100) were reported. For both measures, higher scores indicate better health-related quality of life.
Measured: Baseline, 1-month and 3-month follow-ups
Healthcare Utilisation
Healthcare service utilisation obtained from electronic medical records (EMR), including number of emergency department visits, hospital admissions, outpatient visits, and visits to healthcare professionals.
Measured: 180 days and 360 days post-discharge
Usability of SST
Usability was measured using the System Usability Scale (SUS), a 10-item instrument providing a global score from 0 to 100. Higher scores indicate better perceived usability.
Measured: 24 hours after the first administered SST
Intervention appropriateness (implementation outcome)
Assessed using the Intervention Appropriateness Measure (IAM) among staff involved in the care of patients using the SST, with total scores ranging from 4-20. Higher scores indicate greater appropriateness.
Measured: 3-month follow-up
Quality of care and continuity
Quality of care and continuity is measured using the adaptive Patient Continuity of Care Checklist (PCCQ). Items are rated on a 5-point Likert scale and scores range from 5-30. Higher scores indicate a higher level of perceived continuity of care.
Measured: 1-month and 3-month follow-ups
Mortality
All-cause mortality assessed using electronic medical records (EMR), defined as death occurring from the time of enrollment.
Measured: 180 and 360 days post-discharge
Service quality of SST
Perceived service quality was measured using an adaptive Electronic Service Quality Scale (E-S-QUAL) consisting of 19 items. Respondents first distributed 100 points across the four dimensions Efficiency, Fulfillment, System Availability, and Privacy, to reflect relative importance. Items were then rated on a 5-point Likert scale. Higher scores indicating a better perception of electronic service quality.
Measured: 24 hours after the first administered SST
Care experience
Patient-reported experience is measured using Client Satisfaction Questionnaire (CSQ-4). Total scores range from 4 to 16, where higher scores indicate greater satisfaction with care.
Measured: 1-month and 3-month follow-ups
Intervention feasibility (implementation outcome)
Assessed using the Feasibility of Intervention Measure (FIM) among staff involved in the care of patients using the SST. Total scores range from 4-20 and higher scores indicate greater feasibility.
Measured: 3-month follow-up
Normalization process (implementation outcome)
Assessed using the Normalisation Measure Development (NoMAD) among staff involved in the care of patients using the SST. Total scores range from 0-100. Higher scores indicate better normalization.
Measured: 3-month follow-up
Intervention acceptability (implementation outcome)
Measured by the Acceptability of Intervention Measure (AIM)among staff involved in the care of patients using the SST, with a total score ranging from 4-20. Higher scores indicate greater acceptability.
Measured: 3-month follow-up
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 May 2026
- Study start1 May 2026 (estimated)
- Primary completion30 Dec 2026 (estimated)
- Study completion30 Dec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (5)Papers the sponsor has linked to this study.
- Other trials for Frail Elderly PatientsStudies 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
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- This study primarily uses a single-arm benchmarking design to evaluate the service initiation rate following implementation of the Simple Segmentation Tool (SST). All enrolled participants receive SST-informed needs assessment and care planning. In addition, an embedded randomized comparison is conducted to explore the impact of post-discharge care coordination calls. Participants are randomized in 1:3 ratio to receive either two follow-up phone calls or no additional calls. This randomized component is not related to the primary benchmarking outcome.
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Duke-NUS Graduate Medical School
- Sponsor type
- University, hospital or other
- Collaborators
- Changi General Hospital, Agency for Integrated Care, Singapore
- Responsible party
- Principal investigator, Angelique Chan, Duke-NUS Graduate Medical School
- Investigators
- Angelique Chan, Ph.D., Principal investigator, Duke-NUS Graduate Medical School
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07580690
- Sponsor's protocol ID
- CIRB: 2024-2130
- Other IDs
- MOH-001199-00
- Acronym
- Frailty
- Status last verified
- May 2026
- First submitted
- 14 Apr 2026
- Last updated
- 12 May 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Chong JL, Low LL, Chan DYL, Shen Y, Thin TN, Ong MEH, Matchar DB. Can we understand population healthcare needs using electronic medical records? Singapore Med J. 2019 Sep;60(9):446-453. doi: 10.11622/smedj.2019012. Epub 2019 Jan 15.
PubMed 30644525Chong JL, Matchar DB. Benefits of Population Segmentation Analysis for Developing Health Policy to Promote Patient-Centred Care. Ann Acad Med Singap. 2017 Jul;46(7):287-289. No abstract available.
PubMed 28821893Chong JL, Low LL, Matchar DB, Malhotra R, Lee KH, Thumboo J, Chan AW. Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community. BMC Geriatr. 2020 Feb 27;20(1):78. doi: 10.1186/s12877-020-1480-9.
PubMed 32103728Matchar D, Vashishtha R, Jing X, Sivapragasam N, Sim R, Chong JL. Development and validation of a brief assessment of normative health and health-related social needs using the Simple Segmentation Tool. BMC Health Serv Res. 2025 Feb 11;25(1):230. doi: 10.1186/s12913-025-12364-x.
PubMed 39934828Chong JL, Matchar DB, Tan Y, Sri Kumaran S, Gandhi M, Ong MEH, Wong KS. Population Segmentation Based on Healthcare Needs: Validation of a Brief Clinician-Administered Tool. J Gen Intern Med. 2021 Jan;36(1):9-16. doi: 10.1007/s11606-020-05962-4. Epub 2020 Jun 30.
PubMed 32607929
Study at a glance
From the registry record, last updated by the sponsor on 12 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Integrating Health and Social Service Needs for Frail Elders at Point of Care: Development and Evaluation of an IT-based Digital Needs-assessment Tool
- ClinicalTrials.gov ID
- NCT07580690
- Acronym / sponsor ID
- Frailty / CIRB: 2024-2130
- Keywords
- Frail Older Adults, Simple Segmentation Tool, Integrated Care, Care Coordination, Needs Assessment Tool, Health and Health-related Social Service
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Duke-NUS Graduate Medical SchoolUniversity, hospital or other
- Collaborators
- Changi General Hospital, Agency for Integrated Care, Singapore
- Study start
- 1 May 2026 (estimated)
- Primary completion
- 30 Dec 2026 (estimated)
- Study completion
- 30 Dec 2027 (estimated)
- First posted
- 12 May 2026 (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.
The goal of this trial is to evaluate whether a digital needs-assessment tool can improve care planning and outcomes for frail older adults (aged 60 years and above) hospitalized in Singapore. The tool is designed to identify patients' health and social service needs and support better care coordination after hospital discharge.
The main questions it aims to answer are:
- Does the use of a digital needs-assessment tool improve the identification and management of health and social service needs in frail older adults?
- Does this approach improve patient outcomes, such as quality of life, care satisfaction, and healthcare utilization after discharge?
Participants will:
- Respond to a baseline questionnaire
- Receive a personalized care plan based on identified needs by the tool
- Be followed up at 1 month and 3 months after discharge through surveys
- Some participants will receive additional follow-up phone calls to review care needs and service use
- A subset of participants will take part in interviews to share their care experiences
Detailed description
Older adults with frailty frequently experience multiple medical, functional, and social challenges following hospital discharge. Evidence from the Health and Social Service Needs study indicates that patients discharged with unmet health and health-related social service (HASS) needs have poorer post-discharge outcomes, including increased healthcare utilization. While frailty screening is commonly used to identify high-risk patients, frailty status alone does not identify the specific actionable needs that could mitigate health deterioration or support community living.
During hospitalization, assessments of these needs are typically conducted through referrals to medical social workers, patient navigators, case managers, or geriatricians. These referrals are discretionary and vary across providers and settings, contributing to inconsistent care delivery. Such approaches are resource-intensive and difficult to sustain under workforce constraints and may lead to missed identification of needs or delays in discharge, increasing the risk of unmet needs during care transitions.
This study evaluates the implementation of a needs-based assessment approach using the Simple Segmentation Tool (SST), a brief digital instrument developed in Singapore by Matchar et al. (2017). The SST is designed to rapidly identify likely actionable HASS needs and support care planning and referral processes. The tool can be completed in approximately 2-3 minutes by trained healthcare professionals, including physicians, nurses, and case managers, and is supported by an algorithm developed by a multidisciplinary expert panel.
Following enrollment, hospital staff will complete the SST based on participants' clinical and social circumstances. Care plans will be generated using outputs from the SST and reviewed with participants and/or their caregivers. If a participant is readmitted within three weeks of discharge, the SST assessment will be repeated following the subsequent discharge to ensure that care plans reflect updated or evolving needs. Participants who decline recommended services will remain enrolled in the study but will not be counted toward the target sample size of 200 participants.
Participants will complete a baseline questionnaire during hospitalization and will be followed after discharge with structured surveys administered at one month and three months. These surveys will assess post-discharge outcomes related to health status, care experiences, and healthcare utilization. Qualitative interviews will also be conducted with a subset of patients and healthcare staff to explore experiences, perceived value, and implementation challenges associated with SST-guided care planning.
To support care coordination, internal stakeholders and external community service providers, coordinated by the Agency for Integrated Care Care-Referral Team, will use a shared framework to facilitate service linkage and care transitions. Service activation and follow-up will be tracked, and any failures in linkage will be communicated to a central coordinating team to support resolution and continuity of care.
Prior to the main study, a pilot phase involving up to 10 patient volunteers will be conducted to assess workflow feasibility, clarity of study materials, and questionnaire length. Pilot participants will provide informed consent, and data collected during this phase will not be included in research analyses. Feedback from the pilot will be used to refine study procedures and materials prior to full implementation.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
- Model description
- This study primarily uses a single-arm benchmarking design to evaluate the service initiation rate following implementation of the Simple Segmentation Tool (SST). All enrolled participants receive SST-informed needs assessment and care planning. In addition, an embedded randomized comparison is conducted to explore the impact of post-discharge care coordination calls. Participants are randomized in 1:3 ratio to receive either two follow-up phone calls or no additional calls. This randomized component is not related to the primary benchmarking outcome.
| Arm | Type | Receives |
|---|---|---|
| SST + care coordination calls | Experimental | Behavioral: Core: SST-informed care planning, Behavioral: Additional telephone callsParticipants will receive a digital needs assessment during hospitalization and a personalized care plan. After discharge, participants will be randomized in a 1:3 ratio. Participants will receive two follow-up calls from care coordinators to review care needs and support care coordination. |
| SST only | Experimental | Behavioral: Core: SST-informed care planningParticipants will receive a digital needs assessment during hospitalization and a personalized care plan. |
Who may qualify
- Ages
- 60 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Patient participant: (i) Aged >= 60 years at the time of recruitment; (ii) identified as frail, with a CFS score >= 5 and/or modified HFRS intermediate and high frailty risk (mHFRS) score >=5; (iii) Singapore citizens or permanent residents; (iv) able to speak and understand English, Chinese or Malay.
- Proxy (when responding on behalf of eligible patients): (i) Relative or friend of the patient participant; (ii) Aged 21 years or older; (iii) Familiar with the older adult's health and social situation.
Key exclusion criteria (2 listed)
- Patient participant: (i) Currently involved in another study or (ii) residents of nursing homes, or (iii) patients known to home hospice or home palliative care services with a life expectancy of less than 6 months.
- Proxy: primary caregivers who are foreign domestic workers will be excluded from the study.
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 |
|---|---|---|
| Core: SST-informed care planningThe Simple Segmentation Tool (SST) is used to assess multidimensional needs and generate individualized care recommendations. Participants receive SST-informed care plan and referral to appropriate health and social services. | Behavioural | SST + care coordination calls, SST only |
| Additional telephone callsParticipants will receive two structured post-discharge care coordination phone calls to support service uptake, address barriers, and facilitate follow-up on recommended services. | Behavioural | SST + care coordination calls |
Primary outcome
Service initiation rate
Time frame: 30 days after discharge
The proportion of enrolled participants who successfully initiate at least one recommended health or social support service
11 secondary outcomes
Health-related quality of life
Time frame: Baseline, 1-month and 3-month follow-ups
Healthcare Utilisation
Time frame: 180 days and 360 days post-discharge
Usability of SST
Time frame: 24 hours after the first administered SST
Intervention appropriateness (implementation outcome)
Time frame: 3-month follow-up
Quality of care and continuity
Time frame: 1-month and 3-month follow-ups
Mortality
Time frame: 180 and 360 days post-discharge
Service quality of SST
Time frame: 24 hours after the first administered SST
Care experience
Time frame: 1-month and 3-month follow-ups
Intervention feasibility (implementation outcome)
Time frame: 3-month follow-up
Normalization process (implementation outcome)
Time frame: 3-month follow-up
Intervention acceptability (implementation outcome)
Time frame: 3-month follow-up
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 12 May 2026.
- Background: PubMed 30644525Chong JL, Low LL, Chan DYL, Shen Y, Thin TN, Ong MEH, Matchar DB. Can we understand population healthcare needs using electronic medical records? Singapore Med J. 2019 Sep;60(9):446-453. doi: 10.11622/smedj.2019012. Epub 2019 Jan 15.
- Background: PubMed 28821893Chong JL, Matchar DB. Benefits of Population Segmentation Analysis for Developing Health Policy to Promote Patient-Centred Care. Ann Acad Med Singap. 2017 Jul;46(7):287-289. No abstract available.
- Background: PubMed 32103728Chong JL, Low LL, Matchar DB, Malhotra R, Lee KH, Thumboo J, Chan AW. Do healthcare needs-based population segments predict outcomes among the elderly? Findings from a prospective cohort study in an urbanized low-income community. BMC Geriatr. 2020 Feb 27;20(1):78. doi: 10.1186/s12877-020-1480-9.
- Background: PubMed 39934828Matchar D, Vashishtha R, Jing X, Sivapragasam N, Sim R, Chong JL. Development and validation of a brief assessment of normative health and health-related social needs using the Simple Segmentation Tool. BMC Health Serv Res. 2025 Feb 11;25(1):230. doi: 10.1186/s12913-025-12364-x.
- Background: PubMed 32607929Chong JL, Matchar DB, Tan Y, Sri Kumaran S, Gandhi M, Ong MEH, Wong KS. Population Segmentation Based on Healthcare Needs: Validation of a Brief Clinician-Administered Tool. J Gen Intern Med. 2021 Jan;36(1):9-16. doi: 10.1007/s11606-020-05962-4. Epub 2020 Jun 30.
- Individual participant dataSharing planned: No
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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.
Angelique Chan, Ph.D. principal investigator
Duke-NUS Graduate Medical School
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Core: SST-informed care planning and Additional telephone calls in people with Frail Elderly Patients and Geriatric Syndromes, run by Duke-NUS Graduate Medical School at 1 site in Singapore.
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 2 inclusion and 2 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: opening soon, as of the sponsor's last update on 12 May 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 Singapore. 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?
Contact Shenglin Zheng, Ph.D. (6580325886, sz61@nus.edu.sg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Service initiation rate (time frame: 30 days after 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 NCT07580690, which also lists 5 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 12 May 2026.