Study setting {9}
Target Sample Size: 900 Female, 900 Male, 1800 Total
Target Sample Size by Gender, Race, Ethnicity, and Age: Study population is drawn from outpatient adult patients seeking extraction of impacted mandibular 3rd molars in the following communities: Ann Arbor, Michigan; Baltimore, Maryland; Chicago, Illinois; Newark, New Jersey and Rochester, New York. Sites selected are all located in diverse communities and serve a diverse patient population. It is anticipated that at least 32% will be African American and 17% will be Hispanic or Latino. While most participants seeking third molar extraction are young adults, adults of any age (>18) can be enrolled.
A stratified random sample design with stratification on gender is used to ensure that one-half of enrolled participants are female one half are male.
Eligibility criteria {10}
The study population is comprised of individuals, 18 years and older, requiring extraction of one or more partially-impacted or fully-impacted mandibular 3rd molars.
Inclusion Criteria: An individual must meet all of the following criteria to be eligible to participate in the study: understand the informed consent, provide a signed and dated informed consent form, understand all directions for data gathering instruments in English, be willing and able to comply with all study procedures, including having a smart phone, and be available for the duration of the study, planning to undergo extraction of one or more partially or fully impacted mandibular 3rd molars, be 18 years or older, be in good general health as evidenced by medical history, and, if female gender, must agree to use contraceptive pill, intra-uterine device, condoms, or abstinence while participating in the study.
Exclusion Criteria: Participants who self-report the following history are excluded from study participation: history of gastrointestinal bleeding and/or peptic ulcer; renal disease (excluding kidney stones); hepatic disease; cardiovascular disease (myocardial infarction or stroke within the past 6 months); bleeding disorder; respiratory depression; prior respiratory effect of an opioid or other anesthetic drugs that required respiratory support postoperatively; active or untreated asthma; allergic reaction to ibuprofen, acetaminophen, hydrocodone, and/or anesthesia, consumption of 3 or more alcoholic drinks each day and/or has a history of alcoholism; history of drug or alcohol abuse (excludes marijuana use); family history of drug or alcohol abuse in a first degree relative; has had no more than one opioid prescription filled within the past 12 months; currently pregnant or lactating. In addition, individuals currently taking any of the following medications: CYP3A4 inhibitor, such as macrolide antibiotics (e.g., erythromycin), azole-antifungal agents (e.g., ketoconazole), and protease inhibitors (e.g., ritonavir), which may increase plasma concentrations of hydrocodone bitartrate and acetaminophen and prolong opioid adverse reactions, and which may cause potentially fatal respiratory depression or CNS depressants (including benzodiazepines), are excluded.
Participants are free to withdraw from participation in the study at any time upon request.
An investigator may discontinue an individual’s participation in an intervention or withdraw an individual from the study if: Exparel (bupivacaine liposome injectable suspension) is used during the extraction procedure, the participant has a serious adverse event requiring hospitalization, any clinical adverse event (AE), laboratory abnormality, or other medical condition or situation occurs such that continued participation in the study would not be in the best interest of the participant; or the participant meets an exclusion criterion (either newly developed or not previously recognized) that precludes further study participation.
Who will perform the informed consent procedure? {26a}
Consent is obtained by research coordinators at each clinical site. They are trained in human subjects protection, Good Clinical Practice and the OARS study protocol and procedures. The coordinator explains the research study to the potential participant undergoing mandibular 3rd molar extraction and answer any questions that may arise. Extensive discussion of risks and possible benefits of study participation is provided. A consent form describing in detail the study procedures and risks is given to the participant. Consent forms and recruitment materials are Institutional Review Board approved. Each participant signs the informed consent document prior to any study-related assessments or procedures. The participant may withdraw consent at any time throughout the course of the study. A copy of the executed consent form (either paper or electronic) is provided to the patient at the time of consent for their records.
Additional consent provisions for collection and use of participant data and biological specimens {26b}
Not applicable.
Interventions
Explanation for the choice of comparators {6b}
Two orally administered analgesics are being compared: (1) hydrocodone 5 mg/acetaminophen 300 mg and (2) ibuprofen 400 mg/acetaminophen 500 mg over a post-operative period.
OPIOID: This trial uses hydrocodone 5mg plus acetaminophen 300 mg. (52-58) Hydrocodone represents over 60% of opioid prescriptions for dentistry with codeine being the second most commonly prescribed opioid.(14,43,59-64) Codeine with a morphine milligram equivalent (MME) dose of .15 is less effective than hydrocodone, which has an MME of 1 (i.e., hydrocodone is significantly more powerful than codeine)(65).
NON-OPIOID: The NON-OPIOID protocol calls for acetaminophen 500 mg (simulating 1 extra strength Tylenol tablet) and ibuprofen 400mg (simulating 2 Advil or Motrin tablets) which provides anti-inflammatory effects. (30-32,39,65-73) Clinical studies have shown that acetaminophen combined with ibuprofen is more effective than either alone in managing acute post-operative pain.(29,65,74-75)
Twenty doses are dispensed to each subject. All treatments have an equal appearance.
Intervention description {11a}
Participants are directed to take 1 dose of either OPIOID or NON-OPIOID immediately after surgery and then 1 dose every 4-6 hours as needed for pain. If a dosage is not effective within an hour, a participant can take an additional dose, up to 6 total doses per day. In the event pain management remains insufficient, the subject is instructed to call the on-call surgeon. The on-call surgeon assesses the situation and may instruct the participant to take up to 2 additional doses or determine whether rescue medication (oxycodone 5 mg) or an emergency visit is required.
Criteria for discontinuing or modifying allocated interventions {11b}
Subjects who require rescue medication due to insufficient pain management with study analgesic are prescribed oxycodone 5mg in addition to the study analgesic. In addition, subjects who have adverse reactions which cannot be tolerated by the subject and/or subjects who have severe adverse reactions related to study analgesics are instructed to discontinue use of study analgesics.
Strategies to improve adherence to interventions {11c}
During the informed consent process, a thorough discussion with potential participants ensures that participants understand trial expectations. Subjects are provided written instructions after surgery. Short Message Service (SMS) texts are sent each morning and evening during the post-operative period Subjects receive SMS texts during the post-operative period between surgery and the post-operative visit in the morning and evening. In addition, research coordinators call participants to answer any questions and remind them of the study protocol.
Relevant concomitant care permitted or prohibited during the trial {11d}
Long-lasting local anesthetics such as Exparel and Marcaine (bupivacaine) are not permitted to be used.
Provisions for post-trial care {30}
Six months after completion of the trial, subjects who obtain additional opioids are offered, free-of-charge, an opioid addiction screening counselling session.
Outcomes {12}
Table 1 summarizes the outcome measures . The primary outcome measures for this study are patient-perceived pain(76) levels observed for seven days following 3rd molar extraction and overall satisfaction(77) with the management acute post-surgical pain. Secondary outcome measures include: (1) frequency and magnitude of adverse events(77), (2) ability to sleep(78) and pain interference(79) with normal daily activities, (3) potential diversion defined as tablets remaining in households and returned at the follow-up visit, and (4) number of opioid prescriptions within 6 months after study analgesic use.
Table 1: Outcomes Measures
Brief Description/Justification of Outcome Measure
|
Outcome Measured By
|
Timing
|
Primary Outcome Measures
|
|
|
Pain: For pain level, Brief Pain Inventory (BPI) using the Numerical Rating Scale (NRS) was chosen because:
- BPI with NRS is widely used and accepted
- Reliability and validity for BPI and NRS have been established
- BPI with NRS is clinically relevant (patients want to minimize pain experienced after surgery)
- BPI with NRS Is a sensitive measure
- BPI with NRS allows for direct comparisons across studies
Satisfaction: For satisfaction, overall satisfaction questions from the Pain Treatment Satisfaction Scale (PTSS) were chosen because:
- While patients want to minimize pain, patients are willing to tradeoff some pain relief to minimize side effects, maintain their ability to sleep, maintain their ability to engage in normal activities and minimize exposure to opioids
- PTSS has been shown to be valid and reliable
|
Pain: NRS is used on a scale of 0 to 10 where 0=no pain and 10 = worst imaginable pain for average pain level, pain at its worst, pain at its least, pain experiencing now..
Satisfaction (measures from PTSS):
- How satisfied are you with the TIME that it takes your pain medication to work? (scale: 1=very satisfied, 2=satisfied, 3=neither satisfied nor dissatisfied, 4=dissatisfied, 5=very dissatisfied)
- How satisfied are you with the LEVEL OF AMOUNT of pain relief provided by your pain medication? (scale: 1=very satisfied, 2=satisfied, 3=neither satisfied nor dissatisfied, 4=dissatisfied, 5=very dissatisfied)
- How satisfied are you with the DURATION of pain relief provided by your pain medication? (scale: 1=very satisfied, 2=satisfied, 3=neither satisfied nor dissatisfied, 4=dissatisfied, 5=very dissatisfied)
- Overall, how satisfied are you with your pain medication? (scale: 1=very satisfied, 2=satisfied, 3=neither satisfied nor dissatisfied, 4=dissatisfied, 5=very dissatisfied)
- Overall, how does your level of pain relief meet your expectations of pain relief? (scale: 1=greatly exceeds my expectations, 2=somewhat exceeds my expectations, 3=meets my expectations, 4=does not quite meet my expectations, 5=does not meet my expectations at all)
- Do you think that your pain medication could be more effective in relieving your pain? (scale: 1=yes, definitely, 2=probably yes, 3=I don’t know, 4=probably not, 5=definitely not)
Participants report their pain experience and rate their overall satisfaction in a daily electronic diary using a REDCap application developed for electronic phones and tablets.
|
Pain:
- Visit 1 (in the last 24 hours)
- Each morning days 2 to 8
- Each evening days 1 to 7
- Visit 2 (in the last 24 hours)
Satisfaction:
Satisfaction recorded during post-op visit (Visit 2)
|
Secondary Outcome Measures
|
|
|
Adverse Events:
As medications have side effects, a list of possible adverse events (side effects) related to the intervention has been developed, and participants are asked if they are experiencing any of them. (This is separate from serious adverse events which are captured. Serious adverse events result in a participant being exited from the study. An analysis of serious adverse events are included in the study analysis.)
Sleep Quality:
- Pain and Sleep Questionnaire 3 item index (PSQ-3) was selected because it is a validated measure and because of its ease of use for the eDiary on a smart phone.
- A question from the PTSS was selected because it provides an overall rating of quality of sleep.
Pain Interference (Daily Function):
The PROMIS Short 6b was selected because it is a standard NIH measure of pain interference and can be recorded during the post-operative visit.
Future Opioid Seeking Behavior:
The PDMP is accessed; six months was selected because it is the maximum follow-up time which could be completed within the study time-frame.
Potential Diversion:
Participants are instructed to bring the pill bottle and unused capsules to the follow-up appointment.
|
Adverse Events:
- Adverse events include excessive fatigue or drowsiness, inability to concentrate, nausea, diarrhea, dizziness, constipation, skin rashes, stomach aches, heartburn, vomiting, euphoria, headache, urinary retention and unintentional weight gain with a binary yes/no scale. Self-reported binary response (yes/no) is ascertained. If yes - was the adverse event bothersome to a minor or major extent?
- For Visit 1, participants are asked how much were you bothered by … over the last 24 hours.
- At the time of getting up in the morning participants are asked how much were you bothered with …. during the night
- Right before going to sleep at night, participants are asked how much they were bothered by … during the day.
- For Visit 2, participants are asked how much were you bothered by … over the last 24 hours.
Sleep Ability:
- From the PSQ-3: a. Last night did you have trouble falling asleep? b. Last night were you awakened by pain during the night? c. Were you awakened by pain this morning? {Binary yes/no scale during the post-operative period; NRS scale where 0=never, 10=always at Visit 1 and 2)
- From PTSS: Rating the overall quality of last night’s sleep {NRS where 0=excellent and10=very poor}
- From Actigraph: Sleep quality is monitored, and data collected
Pain Interference:
- PROMIS Short 6b: During the post-operative period, how much did pain interfere with your day to day activities, work around the home, ability to participate in social activities, enjoyment of life, the things you usually do for fun, enjoyment of social activities, household chores, family life, your ability to concentrate, enjoyment of recreational activities, tasks away from home {scale: 1=not at all, 2=a little bit, 3=somewhat, 4=quite a bit, 5=very much} and How often did pain keep you from socializing with others? {scale=1=never, 2=rarely, 3=sometimes, 4=often, 5=always}
Future Opioid Seeking Behavior:
- # of new opioid prescriptions recorded in the Prescription Monitoring Database Program at approximately 6-months following the surgical procedure
Potential Diversion:
- # returned capsules at Visit 2 determined by counting the returned capsules or via electronic monitoring device
- # unaccounted for capsules at Visit 2 (not recorded as used and not returned)
Participants report whether they have experienced each adverse event and rate their sleep ability and pain interference in a daily electronic diary using a REDCap application developed for electronic phones and tablets.
|
Adverse Events:
- Visit 1
- Each night for days 2-8
- Each day for days 1-7
- Visit 2
Ability to sleep:
- Visit 1
- Each morning on days 2 thru 8 and
- Visit 2 (in the last 24 hours)
Pain Interference:)
- Visit 1,
- Each evening on days 1 through 7
- Visit 2
Future Drug Seeking Behavior:
- Opioid prescriptions filled within 6 months after visit 2
Potential Diversion:
|
Participant timeline {13}
Expected Duration of Subject Participation: Subjects participate in the study for the time between their impacted 3rd molar extraction procedure until their post-operative visit which normally occurs approximately 1 week later (9 days +/- 5 days). Following state laws and regulations, the PDMP is retrospectively queried 6 months post-surgery to ascertain information about any opioid-containing prescriptions that may have been filled during this post-surgery time period. Figure 2 shows the participant timeline.
Sequence of Procedures and Duration of Study Period: Table 2 provides the schedule of events.
Table 2: Schedule of Events
|
|
|
Post-Operative Period
|
Post-Operative Period
|
Procedures
|
Screening
(Visit 0)
|
Study Visit 1: Surgery (Day 1)
|
Upon Waking in the Morning
(Days 2 to 10 +/-5)
|
When taking Pain Meds
(Days 1to 10 +/-5)
|
Before Going to Sleep in the Evening
(Days 1 to 9 +/-5)
|
Intermediate Visit / Hospitalization or Fatality
Days 1 to 10 (+/- 5)
|
Post Operative Visit
Study Visit 2
(Day 10 +/-5)
|
Withdrawal or
Termination
|
PDMP Query
(Visit 2 plus 186 days +/- 14 days)
|
Signed Consent Form
|
X
|
|
|
|
|
|
|
|
|
Assessment of Eligibility Criteria (including review of medical history and concomitant medications)
|
X
|
X
|
|
|
|
|
|
|
|
Study Intervention
|
|
X
|
X
|
X
|
X
|
|
|
|
|
Pain Assessment
|
|
X
|
|
|
|
|
|
|
|
Pain Interference Assessment
|
|
|
|
|
X
|
|
X
|
|
|
Sleeping Quality
|
|
|
X
|
|
|
|
X
|
|
|
Assessment of Adverse Events
|
|
|
X
|
|
X
|
|
X
|
X
|
|
Adverse Events and Serious Adverse Event Reporting
|
|
|
|
|
|
X
|
|
|
|
Obtain Satisfaction
|
|
|
|
|
|
|
X
|
|
|
Determination of Tablets for Diversion
|
|
|
|
|
|
|
X
|
|
|
Premature Exit study Documentation
|
|
|
|
|
|
|
|
X
|
|
PDMP Inquiry
|
|
|
|
|
|
|
|
|
X
|
Sample size {14}
To address the possible heterogeneity in pain management and side events in men and women due to sex differences and differences in pain tolerance, subgroup analysis in men and women will be performed separately to ensure the hypothesized differences between the analgesic groups remain.
Sample Size and Power: To test if the non-opioid analgesics are non-inferior to opioid analgesics for pain management (Hypothesis 1a), we chose a small and clinically non-significant difference d=1.0 as the non-inferiority margin and assumed the maximum standard deviation (SD) of the daily pain intensity to be 3.6, based on data from prior studies(42,80-81). With 90% power and alpha=0.625% (one-sided, after Bonferroni correction for 4 tests of pain experience for day of surgery, day 1 and day 2 post surgery and last day of follow-up) (82), we need at least 370 participants per group to test non-inferiority of non-opioid analgesics . To account for 15-20% loss of follow-up and missing data, and other factors not included in the sample size estimation, we will recruit 1800 participants with 450 participants x 2 analgesic groups x 2 gender subgroups (men and women). Power for subgroup analysis: With n=370/group (after attrition/missing data, etc.), non-inferiority margin d=1.0 and alpha=0.3125% (one-sided), we have 85% power to test non-inferiority of non-opioid analgesics in men and women separately.
To compare patient satisfaction (Hypothesis 1b), we estimated the minimal detectable difference in proportions of positive rating between NON-OPIOID vs. OPIOID for n=740/analgesic group (entire sample) and n=370/analgesic group (subgroup) analyses, after attrition/missing data. Assuming the proportion of positive rating (extremely satisfied and satisfied) for NON-OPIOID in our study is about 82%, similar to data in Daniels et al.,(43) our study has 90% power to test a minimal difference of 7% (82% vs. 75%) for n=740/analgesic group (entire sample, 2-sided alpha=5%) and 11% (82% vs. 71%) for n=370/analgesic group (subgroup analysis, 2-sided alpha=2.5%), in comparing proportion of positive rating of patient satisfaction. For continuous measures (e.g., mean normal-daily-function ratings and the sleep quality scores (Aim 2)), our study has 90% power to test a small effect size, Cohen’s d of 0.20, for the entire sample (2-sided alpha=1.25%, after Bonferroni corrections for 4 tests for day of surgery, day 1 and day 2 post surgery and last day of follow-up) and Cohen’s d=0.30 for the subgroup analysis (2-sided alpha=0.625%).
Consideration of within-site correlation: In the sample size and minimal effect size estimations, we tentatively assumed all individuals are independent. However, in our study, the randomization will be performed within each site. When the correlation between responses among participants within the same site is positive, randomizing participants within site can increase power: Consider a site of 2m participants and each patient is randomized to one of two treatments at a 1:1 ratio. Assume that the within-site correlation is r>0 and denote the standard deviation of each individual’s response by σ. The variance of the mean difference in the responses between two treatments is 2σ2/m*(1-r). It is smaller than 2σ2/m, the variance of the same difference when individuals are mutually independent. The smaller variance implies greater efficiency/power. Therefore, we expect our estimated sample size and minimal effect size to be more conservative than they should have been.
Recruitment {15}
Recruitment Strategies: Each clinical site recruits study participants as they report to the oral and maxillofacial surgery or general dentistry clinic for 3rd molar extraction consultation or surgery appointments. Each site has study staff who review the clinic schedule at least each week for potential study candidates. When patients report to the clinic for a 3rd molar extraction consult or procedure, study staff ascertain interest in study participation if at least one partial or full bony mandibular 3rd molar extraction is planned. Sites advertise for the study by word of mouth and/or advertising through flyers, social media, e-mail and/or ads in local/college newspapers.
Assignment of interventions: allocation
Sequence generation {16a}
Participants were randomized to either the opioid or non-opioid analgesic group at the 1:1 ratio, stratified by gender at each site. Site-specific pre-determined random number sequences, with a block of 4 containing 2 opioid and 2 non-opioid assignments in a random order, were generated by staff at Data Management Statistical Analysis Core (DMSA) using R software. The randomization code was generated, and labels are created during the preparation phase when the treatment packets are prepared so that each packet is prepared and labeled with the packet identification number according to the randomization sequence. Complete randomization code for each site is stored in REDCap and only the DMSA and Clinical Protocol Coordinating Core (CPCC) staff have access to it.
Concealment mechanism {16b}
Existing FDA approved caplets are placed into opaque capsules and then filled with powder fill. Study analgesics are provided in 2 different size/color capsules (Table 4). Capsule 1 is a brown AA capsule and contains either the hydrocodone/acetaminophen for OPIOID participants or ibuprofen for OPIOID participants. Capsule 2 is a white 00 capsule containing either a placebo for OPIOID or acetaminophen for NON-OPIOID. Capsule 1 for OPIOID and NON-OPIOID is manufactured with a similar weight to the extent possible. Similarly, capsule 2 of OPIOID and NON-OPIOID is manufactured with a similar weight to the extent possible. The study Instructions for the taking the analgesic are the same for both the opioid and non-opioid cohorts, ensuring the patient, surgeon and site nurse coordinator are blinded.
Table 4: Intervention Concealment
Capsule
Number
|
OPIOID Content
|
NON-OPIOID Content
|
Quantity for a Dose
|
Total Dispensed
|
Capsule Size
|
Color
|
1
|
Hydrocodone 5mg / Acetaminophen 300 mg
|
Ibuprofen 400 mg
|
1
|
20
|
AA
|
Brown
|
2
|
Placebo
|
Acetaminophen 500 mg
|
1
|
20
|
00
|
White
|
Implementation {16c}
Prior to the start of the trial, a sequential listing of participant identifiers (IDs) was developed for each gender for each site, resulting in ten separate lists being generated. Subject packages are assembled at the Rutgers CPCC with study analgesic placed into electronic bottles. The electronic bottles contain labels with the subject ID and bottle ID, however there is no marking on the bottle regarding subject group assignment. Research coordinators at each site distribute subject kits sequentially and are unaware of group assignment.
Assignment of interventions: Blinding
Who will be blinded {17a}
This is a double blinded trial. Patients and all clinical site study personnel, including all personnel who interact with subjects are blinded.
Procedure for unblinding if needed {17b}
Unblinding is only to occur in the case of a medical emergency. If a medical emergency arises, clinical site personnel contact the Clinical Protocol Coordinating Chief who can perform the unblinding by looking up the subjects group assignment in the REDCap group assignment project, which is only available to the DMSA and the CPCC staff.
Data collection and management
Plans for assessment and collection of outcomes {18a}
All data for this study is being electronically collected via REDCap forms and surveys, electronic medication bottles and activity monitors.
REDCap forms are being administered by study personnel using an iPad pro tablet. Data collected include eligibility criteria; demographics; pre-operative patient-reported data (i.e. pre-operative pain, pre-operative sleep ability, and pre-operative pain interference), surgical procedure data (i.e. Surgical Treatment Case Report, including: teeth extraction, type of impaction, extraction difficulty, length of surgery, pharmaceuticals used) and post-operative patient-reported data (i.e. post-operative pain, post-operative sleep ability, post-operative pain interference, complications, overall satisfaction). All data collection instruments have been approved by the Rutgers University Institutional Review Board (IRB) and can be found in the electronic essential document binder for the OARS study. These forms are available upon request to the corresponding author.
REDCap surveys are used to capture subject eDiary entries. For these entries, a text message or email is sent to a participant’s cell phone in the morning and evening during the post-operative period with the link to the REDCap surveys. Participants click on the link to access the surveys and make their eDiary entries directly through their cell phones.
SMRxT electronic medication bottles by SMRxT Inc. record the date and time each capsule is removed from the bottle. This provides the number of capsules removed each day and ultimately, the total number of capsules removed during the study period, enabling the determination of number of capsules available for diversion at the end of the post-operative period.
ActiGraph wGT3X-BT by ActiGraph, LLC sleep/activity monitors record active calories, total sleep minutes and deep sleep minutes.
Plans to promote participant retention and complete follow-up {18b}
To minimize loss of study participants and/or incomplete data collection, the following activities take place:
- An electronic message is sent to the participant each morning and each evening with a link to the e-diary and reminder to complete their e-diary entry.
- If the eDiary entry is not made within 2 hours, an automatic text message reminder is sent up to two times
- Research coordinators contact participants by phone to reinforce adherence to study protocol.
Participants receive a $125 payment card (credit, debit, or gift card(s) at the end of their post-operative visit for participating if they report for their post-operative visit, return all study materials (medication bottle with remaining tablets and activity tracker), and complete the pre-operative survey and the post-operative survey.
If a subject does not report for their post-operative visit, the research coordinators reach out to the subject in an attempt to complete the post-operative survey.
Data management {19}
REDCap: This study makes use of an instance of the REDCap (REDCap version 11.1.0 by Vanderbilt University) application operated and maintained by the Rutgers School of Dental Medicine, Office of Information Technology. This instance is directly integrated with Rutgers University’s Identity Management system, responsible for the enforcing of password complexity requirements and provides a centralized mechanism for the revocation of user access to integrated systems.
Users rights within REDCap are only assigned to REDCap projects, instruments, and records that are required for their role within the study. Further restrictions are put in place to ensure that study staff at each of the five sites are granted access to data collected only within that site.
REDCap provides built-in audit trail functionality which logs all user activity including, but not limited to, page views, exporting data, entering data, and viewing or modifying fields.
SMRxT: Data collected via the SMRxT electronic pill bottles is stored on the SMRxT Nomi platform, transferred via cellular technology from the SMRxT bottle to Nomi. Nomi is directly integrated with REDCap enabling the download of SMRxT data.
ActiGraph: As part of the subject kit return to the CPCC process, the ActiGraph data is downloaded. Any issues with the download are identified. If the file does not successfully download, the ActiGraph is taken out of circulation and returned to the company for trouble shooting and data recovery.
Barcoding: Barcodes are used extensively throughout the study to label patient materials. Barcodes are generated at the Rutgers Core site using BarTender by Seagull Scientific. Patient materials are then scanned into REDCap using a barcode scanner attached to dedicated study workstations to reduce human error when entering unique identifiers such as serial numbers or patient IDs into those systems.
Prior to enrolling the first participant in the study, a disaster drill requiring system recover from a backup was successfully completed.
Data Validation: Whenever possible, structured responses and validation rules have been programmed requiring study participants and research staff to enter valid responses only (i.e., check a yes or no box, select from a list of possible answers such as a Likert scale, date has the format of a date – mm/dd/yy and falls within a certain range,). Branching logic in REDCap is used when respondents must provide answer to follow-up questions.
Stopping Logic: The REDCap system has also been designed to not allow research personnel to proceed with enrolling participants unless the consent process has been completed properly, inclusion criteria has been met and no exclusion criteria are present by blocking the research coordinator from entering the participant’s mobile phone number or e-mail address. This stopping logic is documented within the REDCap forms.
Calculation Aids: In order to assist the research coordinators in determining whether visits are occurring in the allowable windows, the electronic data capture (EDC) system has been programmed to calculate the number of days between Visit 0 and Visit 1 and between Visit 1 and Visit 2. The EDC system has also been programmed to calculate the age of the participant, allowing the research coordinator to determine if the participant is at least 18 years old.
Confidentiality {27}
All identifying information (name, address, telephone numbers, date of birth) is stored in REDCap. Only authorized study staff who have the need to see this information have privileges to access the REDCap project. When staff leave the study, access privileges are removed. Each quarter, a review is done to verify that only active study staff have access privileges.
Deletion of Identifying Information: As per Rutgers University policy, once the trial is completed, all identifying information will only be stored for six years. After, identifying information will be deleted.
Database for Public Release: Only de-identified information will be released to the public upon request to the corresponding author.
Plans for collection, laboratory evaluation and storage of biological specimens for genetic or molecular analysis in this trial/future use {33}
Not applicable
Statistical methods
Statistical methods for primary and secondary outcomes {20a}
All statistical analyses will be performed on an intent-to-treat basis. To account for the repeated measures design and the correlations within study site, generalized linear mixed model (GLMM) analysis,(83) including mixed model and random effects logistic regression analyses, will be used to analyze the primary and secondary outcomes. In these analyses, participants and sites will be treated as random effects, where appropriate. For each test of an outcome, we define the statistical significance by p<0.05. Bonferroni correction will be applied for multiple testing, where appropriate.
Aim1 - Pain experience and Patient satisfaction
To test Hypothesis 1a, mixed model analysis will be used to model the pain intensity scores as a function of analgesic groups (non-opioid vs. opioid), day (day of treatment, day 1 and day 2 post surgery, and last day of follow-up) and day x analgesic group interactions as fixed effects. Participants and sites will be adjusted using nested random effects to account for the possibly stronger within-patient than within-site correlations in the data. Variables such as, but not limited to, age, gender, and treatment variation (e.g., type of anesthesia, administration of a post-surgical steroid, difficulty of surgery, time to complete surgery, etc.) will be controlled as covariates in the statistical model. Numbers of analgesic pills and duration between the first and last doses taken during the day will also be controlled as time-dependent covariates in the statistical model as sensitivity analysis. Mean differences in pain intensity scores between NON-OPIOID and OPIOID groups (μNonOpioid,day - μOpioid,day) on the day of treatment, averages from the day of treatment to each of the next two days, and the last day of follow up will be compared using linear contrasts. To test the non-inferiority of the non-opioid analgesics H0: (μNonOpioid,day - μOpioid,day)≥d vs. H1: (μNonOpioid,day - μOpioid,day)<d, we chose a small and clinically nonsignificant difference d=1.0 as the non-inferiority margin.(80-81,84-85) The non-inferiority will be assessed using the one-sided 99.375% (86) or two-sided 98.75%, (after Bonferroni correction for 4 tests of pain experience) confidence interval (CI) of μNonOpioid,day - μOpioid,day. If this CI completely lies below d, we then conclude the non-inferiority of the non-opioid analgesics; if it completely lies below 0, we then conclude the (statistical) superiority of the non-opioid analgesics at the 1.25% level (two-sided).(86-87). Summary statistics of numbers of pills per day that participants have taken during the entire period from the day of treatment until post-op will also be reported.
As a secondary outcome, percent of participants removed from the study due to the need for a rescue medication will be compared between NON-OPIOID and OPIOID groups using the random effects logistic regression analysis, with study site as the random effect.
To test Hypothesis 1b, we will calculate the proportion of each satisfaction category (e.g., extremely satisfied, satisfied, dissatisfied and extremely dissatisfied) and apply the chi-square test to compare between NONOPIOID vs. OPIOID. Generalized logistic regression analysis will be used to compare the distribution of satisfaction between NON-OPIOID vs. OPIOID, controlling for covariates. Patient satisfaction is a one-time measurement (asked on the day of post-op visit). Only study site will be adjusted as a random effect in the generalized logistic regression analysis.
Aim 2 – Adverse-Effects, Daily Function and Sleep Quality, and Opioid Seeking Behavior
Adverse Events. The rate of the occurrence of adverse events will be compared using the random effects Poisson model with the total number of adverse event occurrences from each patient as the dependent variable, and the analgesic group (NON-OPIOID vs. OPIOID) as the independent variable (fixed effects). If patient follow-up time varies, we will include the person days as an offset term. Covariates such as, but not limited to, age, gender and treatment variation, etc., will be controlled in the statistical models as fixed effects. The same analyses will be repeated to compare the rate for each adverse event.
Percent of participants having to leave the study due to adverse events will also be compared using random effects logistic regression analysis as a secondary outcome. Site will be adjusted as a random effect in the statistical models.
Daily Function and Sleep Quality. Mean normal-daily-function and sleep quality ratings will be compared between NON-OPIOID vs. OPIOID using mixed model analysis.
Future Opioid Seeking Behavior. We hypothesize that participants receiving opioid prescriptions to help manage acute pain are more likely to receive at least one additional opioid prescription within 6 months. This outcome will be measured through a PDMP check at the 6 month point. Summary statistics and random effects logistic regression analysis will be used to compare the percent of participants filling opioid prescriptions (yes/no) within 6 months post-surgery between OPIOID and NON-OPIOID groups.
Drug diversion. We anticipate that participants receiving 5 days of opioid containing analgesics will have capsules remaining after their acute pain episode has been resolved. Descriptive statistics will be calculated and percent of participants who have capsules remaining and the number of capsules remaining will be reported.
Aim 3 - Clinical Protocol/Decision Support Tool.
To address Aim 3, we will develop an optimal(88-90) rule (model), as a function of patient characteristics, to recommend which analgesic to prescribe to maximize a patient’s overall satisfaction. Specifically, our sample will be divided into a training set and a testing set at 1:1 ratio. We will develop the optimal rule(89-90) in the training set and validate it in the testing set, using the methods of Xu et al.(88).
Interim analyses {21b}
Other than reviewing and summarizing adverse and serious adverse events, there are no plans for interim analyses.
Methods for additional analyses (e.g. subgroup analyses) {20b}
Heterogeneity and Subgroup Analyses: To address the possible heterogeneity in pain management and side events in men and women due to sex differences and differences in pain tolerance, we will perform subgroup analysis in men and women separately to ensure the hypothesized differences between the analgesic groups still remain. All the statistical analyses described above will be repeated for men and women respectively as subgroup analyses.
Sensitivity analyses – Site effect: To assess if the differences in NON-OPIOID and OPIOID varies by study site, we will perform sensitivity analysis by either adding interaction terms with site (i.e., site x analgesic groups, site x day and site x day x analgesic groups) to the statistical models or using stratified analysis (stratified by site).
Methods in analysis to handle protocol non-adherence and any statistical methods to handle missing data {20c}
To assess the impact of missing data when we compare the outcomes between OPIOID and NON-OPIOID, sensitivity analyses assuming not missing-at-random (nMAR) and/or a mix of nMAR and missing-at-random (MAR) will be performed using multiple imputation procedures(91-93) to provide a spectrum of possible treatment effect between OPIOID and NON-OPIOID, helpful for describing plausible treatment effects, in the presence of missing data. We will also explore methods to model the missingness mechanism and apply the methods of selection models(94) or use the pattern-mixture models such as the control‐based pattern imputation approach, or the tipping-point approach to handle missing data.(95-98)
Plans to give access to the full protocol, participant level-data and statistical code {31c}
The full protocol and de-identified participant level data will be available to the public via a written request to the principal investigator.
Oversight and monitoring
Composition of the coordinating centre and trial steering committee {5d}
Figure 3 contains the organizational chart for the OARS study. There are two coordinating centers. The first, appearing in blue, is the CPCC. This core is responsible for maintaining the protocol, manual of procedures, investigational product (IP) and all materials associated with the trial. In addition, the core is responsible for receiving subject kit orders from the clinical sites, processing the orders which includes assembling the subject kits, receiving all used subject kits from clinical sites, and destroying all materials including left-over investigational product.
The DMSA, which appears in red, is responsible for REDCap project development and upgrades, developing and regular reporting of trial quality metrics including enrolment and retention, randomization of subjects into the OPIOID or NON-OPIOID group, preparing quality management reports for the study team, the Data Safety Monitoring Board (DSMB), the FDA and the sponsor, locking the database at the end of the trial and completion of all statistical analyses.
There are two committees overseeing trial implementation. The first, the Executive Committee is made up of the principal investigator (PI) and the 3 chiefs – the CPCC chief, the DMSC chief and the chief pharmacologist. The Executive Committee is responsible for overall project management and meets in conjunction with the Steering Committee. Should an emergency meeting be required due to a halting rule being reached or a serious adverse even occurring likely due to IP, the Steering Committee would review the vents to determine the appropriate action. In addition, the Steering Committee is responsible for approving all plans for manuscript submissions.
The Steering Committee consists of all Executive Committee members along with the site directors. The Steering Committee is responsible for the implementation of the protocol at each of the clinical sites. The Steering Committee meets monthly to review the study’s quality metrics, review any adverse events, serious adverse events, protocol deviations and unanticipated problems. In addition, any changes to the protocol, manual of procedures, clinical quality management plan or data quality plan are discussed. IT staff, and research coordinators routinely attend the Steering Committee Meetings.
Composition of the data monitoring committee, its role and reporting structure {21a}
There are two data monitoring committees which provide trial oversight in addition to oversight reporting to the FDA.
NIH-NIDCR has appointed a clinical monitor who is responsible conducting regular audits. The clinical monitor performs both blinded and unblinded monitoring visits and is responsible for ensuring protection of human subjects and the integrity of the research data, along with adherence to the study protocol. Blinded monitoring visits focus on the informed consent process and consent records, complete study participant records, event reporting, training of blinded study staff and maintenance of the projects essential documents including IRB records, the protocol, and the manual of procedures. Unblinded monitoring visits focus on investigational product, maintenance of blinding, training of unblinded study staff, and delegation of duties for unblinded staff. Reports are generated from each monitoring visit and shared with the sponsor and the DSMB.
The DSMB is responsible ensuring study participant safety. The frequency of reviews is dependent upon risk to the subjects. The DSMB consists of 5 members who are biostatistical, clinical decision support, treatment of addictive disorders, clinical dental pharmacology, and oral and maxillofacial surgery experts. The DSMB reviews recruitment and retention, adverse events. The DSMB periodically reviews accumulated study data for participant safety, study conduct and progress and, if required, make recommendations concerning the continuation, modification, or termination of the trial.
Adverse event reporting and harms {22}
As there are known side effects for all analgesics, subjects may experience adverse effects that are expected side effects, and these are not reported as safety events. All unexpected or serious adverse events are reported however. Safety data are collected through a compilation of adverse events (AEs) captured through daily eDiaries, communication between study team and participant, any event that results in an intermediate clinic visit or hospitalization, or fatality. Safety events associated with interim visits, hospitalizations and fatalities are reviewed each month at the Steering Committee meeting and are summarized as part of the quarterly Data Quality Management and biannual DSMB reports. Adverse events that result in a hospitalization or fatality are contemporaneously reported to the IRB and the subject sponsor and only serious adverse events related to study product are contemporaneously reported to the FDA.
Frequency and plans for auditing trial conduct {23}
In addition to the NIH-NIDCR appointed monitor and DSMB, the OARS study team performs weekly reviews of all subject records completed that week and performs a quarterly quality management review. This review enables deficiencies to be identified promptly with queries sent to the appropriate site personnel to address identified deficiencies.
A quarterly management review is conducted by the PI, CPCC Chief and DSMB Chief. During these reviews 10% of completed records are randomly selected and reviewed for deficiencies. All adverse events, serious adverse events, protocol deviations and unanticipated problems are reviewed along with the outcome of recommendations developed from the previous review. Adherence to the protocol and manual of procedures is checked along with the maintenance of all study essential documents.
Plans for communicating important protocol amendments to relevant parties (e.g. trial participants, ethical committees) {25}
All protocol amendments are approved by the Rutgers IRB prior to implementation. Changes are communicated to study staff and the sponsor via a numbered memorandum and reviewed at monthly study staff meetings. The current protocol version along with archived versions of the protocol are maintained in the essential documents electronic binder which is available for review by study staff, monitors and sponsor.
Dissemination plans {31a}
This study complies with all applicable NIH Data Sharing Policies.(100)
Dissemination at Scientific Meetings: Presentations at scientific meetings will be delivered to assist in dissemination of results as soon as possible when final results pertaining to the primary variables are available. Meetings at which presentations will be made include, but will not be limited to, American and International Association of Dental Research (AADR and IADR), the American Dental Association (ADA), and International Association for the Study of Pain (IASP) and addiction meetings. NIH grant support will be acknowledged during all presentations.
Publication and Authorship Policies: Findings will be published in peer-reviewed journals. Journals selected will be indexed in PubMed. ICMJE guidelines will be adopted and followed in determining authorship. Accepted manuscripts will be submitted to PubMed Central as per NIH policy. Final versions of the peer reviewed manuscripts will be made available to the public, generally within 3 months but no later than 12 months after the official date of publication. NIH grant support will be acknowledged in all publications.
NIH Public Access Policy: The NIH Public Access Policy requires scientists to submit final peer-reviewed journal manuscripts that arise from NIH funds to PubMed Central immediately upon acceptance for publication. This ensures that the public has access to the published results of NIH funded research.