Utilization, Health CareSNAP HOMENCT04376736
Home Visits for Patients at Risk for Appointment No-shows
A study testing Home visit in people with Utilization, Health Care and Engagement, Patient, run by Johns Hopkins University at 1 site in United States.
Trial summary
Unused clinic visits due to patient no-shows continue to plague American healthcare as a large source of waste and avoidable constraint on access. The average no-show rate across 105 studies was 23% though with wide variation (4% to 79%). Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Utilization, Health Care, Engagement, Patient, No-Show Patients
- What is being tested?
- Home visit
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 0 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Sep 2019to 1 Jul 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
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 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- One or more poorly controlled chronic medical illness
- More than one chronic illness, regardless of its level of control
- Acute illness
Who cannot join
- No documented medical illnesses (acute or chronic)
- Single well controlled chronic illness
Trial locations and contacts
1 site in 1 country.
United States1 site
Johns Hopkins Outpatient Center
Baltimore, Maryland, 21287
About this study
Official title: SNAP HOME: Smart No-show Analytics Paired With Home-based Outpatient Medical Engagement
Unused clinic visits due to patient no-shows continue to plague American healthcare as a large source of waste and avoidable constraint on access. The average no-show rate across 105 studies was 23% though with wide variation (4% to 79%). No-show behavior has adverse effects on patients, providers, and healthcare organizations' operational and financial outcomes. Patients that miss clinic visits are more likely to need acute care and suffer poor health outcomes. There have been increasingly sophisticated efforts focused on predicting which patients are likely to no-show. This can allow for tactful over-booking and/or patient outreach. At Hopkins, investigators have implemented a novel machine learning based approach for identifying those patients at high-risk for no-show. Offering home visits for patients who are most likely to no-show is an appealing strategy to connect medical providers with patients who need care but are otherwise unlikely to receive it. Yet, it is unclear if this would be helpful to engage patients in their care, and encourage subsequent attendance, or if it would encourage future missed appointments, fostering a reliance on possible ongoing home visits. This study would link existing efforts with no-show prediction to home visits by internal medicine residents and evaluate its clinical impact. Patients at high-risk for no-show will be randomized into the control arm where patients will be called to remind patients of their visits. Those randomized into the intervention arm will be offered a one time home visit in lieu of their in-person visit to help understand barriers to in-person care and build rapport. Outcomes evaluated include future in-person show rates and healthcare cost/utilization
- Being tested
- Home visit
- Medical subject headings
- Patient Acceptance of Health Care, Patient Participation, No-Show Patients
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Home visitOther
Home visit by medical provider
| Study group | Role | What they receive |
|---|---|---|
| Control arm | No intervention | Patients are reminded about their appointments |
| Intervention arm | Experimental | Patients are offered a one-time home visit by providers in lieu of their upcoming in-person visit Receives: Other: Home visit |
What is being measured
The primary outcome is the main question the study is designed to answer.
Engagement
Subsequent show up rate for medical clinic appointments, that is, number of actual visits per total number of expected visits
Measured: 1 year post enrollment
Secondary outcomes (1)
Healthcare utilization as assessed by number of hospitalizations
This will be assessed based on the Number of ER visits and hospitalizations
Measured: 1 year post enrollment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted6 May 2020
- Study start1 Sep 2019 (estimated)
- Primary completion1 Jul 2023 (estimated)
- Study completion1 Jul 2023 (estimated)
Why it stopped: Logistical difficulties
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Utilization, Health CareStudies of the same condition, open and under way.
- More trials run by Johns Hopkins UniversityThe sponsor's other registered studies.
- 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
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 0 participants (actual)
Sponsor and investigators
- Lead sponsor
- Johns Hopkins University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04376736
- Sponsor's protocol ID
- IRB00196142
- Acronym
- SNAP HOME
- Status last verified
- Jul 2023
- First submitted
- 1 May 2020
- Last updated
- 7 Jul 2023
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 7 Jul 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- SNAP HOME: Smart No-show Analytics Paired With Home-based Outpatient Medical Engagement
- ClinicalTrials.gov ID
- NCT04376736
- Acronym / sponsor ID
- SNAP HOME / IRB00196142
- Study type
- Interventional
- Recruitment status
- WithdrawnReason stopped: Logistical difficulties
- Enrolment
- 0 participants (actual)
- Lead sponsor
- Johns Hopkins UniversityUniversity, hospital or other
- Study start
- 1 Sep 2019 (estimated)
- Primary completion
- 1 Jul 2023 (estimated)
- Study completion
- 1 Jul 2023 (estimated)
- First posted
- 6 May 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.
Unused clinic visits due to patient no-shows continue to plague American healthcare as a large source of waste and avoidable constraint on access. The average no-show rate across 105 studies was 23% though with wide variation (4% to 79%). No-show behavior has adverse effects on patients, providers, and healthcare organizations' operational and financial outcomes. Patients that miss clinic visits are more likely to need acute care and suffer poor health outcomes. There have been increasingly sophisticated efforts focused on predicting which patients are likely to no-show. This can allow for tactful over-booking and/or patient outreach. At Hopkins, investigators have implemented a novel machine learning based approach for identifying those patients at high-risk for no-show. Offering home visits for patients who are most likely to no-show is an appealing strategy to connect medical providers with patients who need care but are otherwise unlikely to receive it. Yet, it is unclear if this would be helpful to engage patients in their care, and encourage subsequent attendance, or if it would encourage future missed appointments, fostering a reliance on possible ongoing home visits. This study would link existing efforts with no-show prediction to home visits by internal medicine residents and evaluate its clinical impact. Patients at high-risk for no-show will be randomized into the control arm where patients will be called to remind patients of their visits. Those randomized into the intervention arm will be offered a one time home visit in lieu of their in-person visit to help understand barriers to in-person care and build rapport. Outcomes evaluated include future in-person show rates and healthcare cost/utilization
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Control arm | No intervention | –Patients are reminded about their appointments |
| Intervention arm | Experimental | Other: Home visitPatients are offered a one-time home visit by providers in lieu of their upcoming in-person visit |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- One or more poorly controlled chronic medical illness
- More than one chronic illness, regardless of its level of control
- Acute illness
Key exclusion criteria (2 listed)
- No documented medical illnesses (acute or chronic)
- Single well controlled chronic illness
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 |
|---|---|---|
| Home visitHome visit by medical provider | Other | Intervention arm |
Primary outcome
Engagement
Time frame: 1 year post enrollment
Subsequent show up rate for medical clinic appointments, that is, number of actual visits per total number of expected visits
1 secondary outcome
Healthcare utilization as assessed by number of hospitalizations
Time frame: 1 year post enrollment
Results and safety
The study was withdrawn before enrolling participants, so there are no results.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Jul 2023.
- Individual participant dataSharing planned: No
Related trials for Utilization, Health Care
Not yet recruiting
Use and Acceptability of an AI-Assisted Health Application for Individuals Living With a Chronic Condition
Hypertension, Diabetes Mellitus, Type 2
Not yet recruiting
A Nurse-Led Personalized Self-Management Counseling Intervention to Improve Medication Adherence and Glycemic Control in Adults With Type 2 Diabetes: A Randomized Controlled Trial
Medication Adherence, Glycemic Control for Diabetes Mellitus
Not yet recruiting
Assessing Psoriasis Treatment Outcomes
Psoriasis
Not yet recruiting
A Novel Miniature Equine-Assisted Diabetes Education Program for Youth: Evaluating the Diabetes Equine Empowerment Program (DEEP).
Diabetes (Insulin-requiring, Type 1 or Type 2), Pediatric Diabetes
RecruitingObservational study
Pediatric Research in the Outpatient Setting CoHort
Parental Stress, Communication Disorder, Childhood
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.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Home visit in people with Utilization, Health Care and Engagement, Patient, run by Johns Hopkins University at 1 site in United States.
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 3 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: withdrawn, as of the sponsor's last update on 7 Jul 2023. 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 United States. 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?
The study was withdrawn before enrolling participants, so there are no results.
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?
Engagement (time frame: 1 year post enrollment). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 7 Jul 2023.