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The aim of this study is to examine patient acceptability, for providing brief research information, whilst self-completing an automated check-in screen prior to any general practice consultation.
The Automated Check-in Data Collection (AC DC) Study, is a pilot feasibility study, observing patients consulting in general practice and completing an automated check-in screen prior to their booked appointment, to confirm their attendance. Participants will be recruited over three weeks from approximately 11 participating general practices.
The primary objective of the study is to assess patient acceptability for answering brief research questions in the general practice waiting room, using an automated check-in screen. This will be measured by observing the percentage of completed automated check-in screens with entered research data.
Secondary objectives will assess check-in completion of self-reported pain and willingness to be contacted about future research studies of relevance. Reported severity of bodily pain experienced over the last 4 weeks and the proportion of patients agreeing to be contacted about future research studies of relevance, will be observed.
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| Measure | Description | Time Frame |
|---|---|---|
| Self-reported Bodily Pain | To assess what self-reported degrees of pain were reported by participants and what proportion of participants did answer a research question within the general practice waiting room using an automated check-in screen. | Through study completion at 1st visit (Day 1) |
| Measure | Description | Time Frame |
|---|---|---|
| Bodily Pain Response | Proportion of participants answering the bodily pain research question using an automated check-in screen. | Through study completion at 1st visit (Day 1) |
| Consent to Contact Response |
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Inclusion Criteria:
Exclusion Criteria:
• Patients under the age of 18 attending the general practice for a consultation with a healthcare professional.
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All patients of age 18 and over, who can read and respond in English and with a booked appointment, consulting with any Health Care Professional (HCP) at their general practice, during the recruitment period will be eligible to participate. All patients are required to confirm their attendance at the general practice by using the automated check-in screen. If the patient completing the automated check-in screen is 18 years of age or over, the additional two research questions will appear for completion.
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| Name | Affiliation | Role |
|---|---|---|
| Christian D Mallen | University of Keele | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| New Cross Hospital | Wolverhampton | WV10 0QP | United Kingdom |
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| ID | Title | Description |
|---|---|---|
| FG000 | Cohort | Automated check-in |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | Cohort | This was a Cohort, there were no arms. It was an entire group. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Self-reported Bodily Pain | To assess what self-reported degrees of pain were reported by participants and what proportion of participants did answer a research question within the general practice waiting room using an automated check-in screen. | Posted | Count of Participants | Participants | Through study completion at 1st visit (Day 1) |
|
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Cohort | All those patients checking-in for a pre-booked consultation using an automated check-in screen and answering at least one research question |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Mrs Sarah Lawton | Keele University | 01782 734887 | s.a.lawton@keele.ac.uk |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Nov 5, 2018 | Feb 22, 2021 | Prot_SAP_000.pdf |
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Proportion of participants answering the consent to contact research question using an automated check-in screen.
| Through study completion at 1st visit (Day 1) |
| Participants |
|
| Sex: Female, Male | Count of Participants | Participants |
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| Race and Ethnicity Not Collected | Race and Ethnicity were not collected from any participant. | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| Patients checking in for a consultation, answering a research question, using check-in sceen | Count of Participants | Participants |
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| Secondary | Bodily Pain Response | Proportion of participants answering the bodily pain research question using an automated check-in screen. | Posted | Count of Participants | Participants | Through study completion at 1st visit (Day 1) |
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| Secondary | Consent to Contact Response | Proportion of participants answering the consent to contact research question using an automated check-in screen. | Posted | Count of Participants | Participants | Through study completion at 1st visit (Day 1) |
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| 0 |
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| 0 |
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