- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07465952
The Effects of Price Reductions on Uptake of Preventive Dental Care
Study Overview
Status
Conditions
Detailed Description
Patients in this trial will be randomized to either one Holdout condition, where patients do not receive any WhatsApp message or communications about dental check-ups, or to one of three treatment conditions where patients receive one WhatsApp message encouraging them to get preventive dental check-ups, offered by their hospital. The three treatment conditions differ in the price of the check-up stated in the message and the inclusion of a discount coupon.
- Large price discount condition: Patients receive an offer to get a preventive dental check-up for $4,990 CLP.
- Intermediate price discount condition: Patients receive an offer to get a preventive dental check-up for $9,990 CLP.
- Intermediate price discount plus coupon condition: Patients receive an offer to get a preventive dental check-up for $9,990 CLP plus a discount coupon for future treatments. The coupon value is CLP 20,000 for treatments costing over CLP 150,000 and is subject to additional terms and conditions by the hospital.
The original price of the preventive dental check-up is $24,990 CLP.
Randomization to study conditions will be stratified by whether patients are from Group 1 or 2 (see participation criteria).
The investigators ask the following research questions:
- Does sending patients WhatsApp messages encouraging them to schedule preventive dental check-ups increase dental check-up uptake? The investigators hypothesize that sending patients WhatsApp messages will increase uptake of preventive dental checkups relative to not sending them any messages.
How do discounts affect preventive dental check-up uptake? The investigators expect higher uptake of preventive dental checkups in the 4,990 CLP condition relative to the 9,990 CLP condition.
The investigators also test whether presenting a coupon for future treatment increases uptake of preventive dental check-up.
- Do discounts influence downstream engagement with dental care? Beyond initial scheduling, the investigators examine how a larger discount and the provision of a coupon for future treatment affect patients' uptake of additional dental treatment.
Analysis:
The investigators will run ordinary least squares regressions (OLS) with robust standard errors to predict outcome variables.
To test whether the WhatsApp messages increase dental check-up uptake, the investigators will compare the holdout condition to the combination of the three treatment arms. The key independent variable in the OLS regressions will be an indicator for whether each patient received (vs. did not receive) a WhatsApp message in the experiment.
To examine the impact of discounts, the investigators will estimate models with indicator variables for (1) the large discount (4,990 CLP) and (2) the coupon condition (9,990 CLP with coupon), using 9,990 CLP without a coupon as the reference category. This specification allows the investigators to separately estimate (a) the effect of large versus intermediate discount (4990 vs. 9,990 CLP) and (b) the effect of presenting a coupon for future service (9,990 with vs. without a coupon).
These regressions will be run with and without control variables. Control variables include:
- Time fixed effects
- Participant age
- Participant gender (male, female, other/unknown)
- Whether patients had had at least one dental visit at this hospital in the past
- Region or clinic indicators, if available
- An indicator for whether patients are in Group 1 or Group 2 (see participation criteria)
For robustness, the investigators will conduct logit models as well.
The investigators will examine whether treatment effects (i.e., differences in uptake between the discount and coupon conditions as well as between the treatment and holdout conditions) vary across patient subgroups. In particular, the following moderators will be tested:
- Whether the patient had completed any dental visit prior to the experiment (based on the data the hospital can provide)
- Whether the patient had completed any preventive medical exam (e.g., mammogram) prior to the experiment (based on the data the hospital can provide)
- Prior visits to the clinic network that were not for dental purposes (based on the data the hospital can provide)
- Insurance type (public vs. private)
- Patient age
- Patient gender (male vs. female)
For exploratory purposes, the investigators will look at longer time windows (e.g., 90 days) for preventive check-up appointment attendance and examine other behaviors related to preventive check-up appointment (e.g., rescheduling, cancellation)
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Santiago, Chile
- Recruiting
- Partnering clinic network
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Contact:
- Daniel Schwartz
- Phone Number: 56 979984165
- Email: daschwar@dii.uchile.cl
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Two groups are considered for this experiment, each defined by the following criteria:
Group 1:
- Patients who have an appointment scheduled within the next 1 to 7 days
- The appointment must be scheduled in the medical area only
- The appointment must be at a center that also offers dental services
- Patients who have not received a preventive dental message in the last month
- Patients over 18 years old
- Patients with a valid phone number to receive WhatsApp messages
- Patients who have not attended a dental appointment in the last 6 months
- Patients who do not have a future dental appointment scheduled
Group 2:
- Patients who do not meet the criteria for Group 1 and who have an appointment the following day or attended an appointment the previous day
- The appointment may be in the Medical, Laboratory, Imaging, Telemedicine, Kinesiology, Vaccination, or Procedures areas
- Patients who have not received a preventive dental message in the last month
- Patients over 18 years old
- Patients with a valid phone number to receive WhatsApp messages
- Patients who have not attended a dental appointment in the last 6 months
- Patients who do not have a future dental appointment scheduled
58.33% of the participants will be allocated to the large discount condition, 27.78% allocated to the intermediate discount condition, and 13.89% allocated to the intermediate discount + voucher condition.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Holdout
Patients do not receive a Whatsapp message
|
|
|
Experimental: $9,990
Dental appointment message with intermediate price discount
|
Patients receive a WhatsApp message offering a preventive dental check-up for $9,990.
|
|
Experimental: $4,990
Dental appointment message with large price discount
|
Patients receive a WhatsApp message offering a preventive dental check-up for $4,990.
|
|
Experimental: $9990 plus coupon
Dental appointment message with intermediate price discount and coupon
|
Patients receive a WhatsApp message offering a preventive dental check-up for $9990, plus a coupon for future treatments.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Preventive Dental appointment scheduling
Time Frame: Within 7 days of receiving the WhatsApp message
|
Proportion of patients that schedule a preventive dental check-up
|
Within 7 days of receiving the WhatsApp message
|
|
Preventive Dental appointment attendance
Time Frame: Within 30 days of receiving the WhatsApp message
|
Proportion of patients that attend a preventive dental check-up
|
Within 30 days of receiving the WhatsApp message
|
|
Subsequent Dental appointment scheduling
Time Frame: Within 60 days of receiving the Whatsapp message
|
Proportion of patients that schedule a dental treatment, following their preventive dental check-up (which equals 1 only if the patient completes a preventive dental check-up and then schedules a follow-up dental treatment)
|
Within 60 days of receiving the Whatsapp message
|
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Subsequent Dental appointment attendance
Time Frame: Within 90 days of receiving the Whatsapp message
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Proportion of patients that attend their dental treatment following their preventive dental check-up (which equals 1 only if the patient completes a preventive dental check-up and then completes a follow-up dental treatment)
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Within 90 days of receiving the Whatsapp message
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
No-Show
Time Frame: Within 30 days of receiving the WhatsApp message
|
Proportion of patients that fail to attend a scheduled preventive dental appointment
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Within 30 days of receiving the WhatsApp message
|
|
Interest in scheduling
Time Frame: Within 7 days of receiving the WhatsApp message
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Proportion of patients that click YES in response to the WhatsApp message
|
Within 7 days of receiving the WhatsApp message
|
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Any dental appointment scheduling
Time Frame: Within 7 days of receiving the WhatsApp message
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Proportion of patients that schedule any dental appointment (regardless of whether it is preventive or not)
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Within 7 days of receiving the WhatsApp message
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- Dentistry_price
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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