| Field | Before | After |
|---|---|---|
| Field Trial Status | Before in_development | After on_going |
| Field Last Published | Before August 31, 2020 08:49 AM | After September 01, 2020 03:57 AM |
| Field Experimental Design (Public) | Before A cluster randomised controlled trial design will be applied, using trade districts as clusters for randomization. | After A cluster randomised controlled trial design will be applied, using trade districts as clusters for randomisation. |
| Field Power calculation: Minimum Detectable Effect Size for Main Outcomes | Before Power calculations were conducted as follows. Simulations were performed employing real sales data from January 2014 to August 2019. In these simulations, we assumed that extended opening hours were implemented by trade districts from September 1st 2018, December 1st 2018, and March 1st 2019, thus resembling the dates of the planned experiment, only two years before. For each outlet, the predicted increase in sales was set to be a uniformly distributed rate over the interval (0, 0.3) of mean hourly sales on Saturday afternoons in 2018; and this effect was further weighted by a relative measure of increasing sales on Saturday afternoons as compared to sales in the morning hours. The simulated increase in sales on Saturdays, given a one hour increase in trading hours, was then added to monthly sales data on which we ran regressions with standard errors adjusted for clustering. In the regression models, we also accounted for seasonal variation. With 100 simulations of different block randomizations and random effect sizes, we were unable to produce parameter estimates for wine (mean β=0.030) and spirits (mean β=0.025) which were not statistically significant at p< 0.05. However, the effect on beer sales (mean β=0.018) was mostly statistically insignificant. | After Power calculations were conducted as follows. Simulations were performed employing real sales data from January 2014 to August 2019. In these simulations, we assumed that extended opening hours were implemented by trade districts from September 1st 2018, December 1st 2018, and March 1st 2019, thus resembling the dates of the planned experiment, only two years before. For each outlet, the predicted increase in sales was set to be a uniformly distributed rate over the interval (0, 0.3) of mean hourly sales on Saturday afternoons in 2018; and this effect was further weighted by a relative measure of increasing sales on Saturday afternoons as compared to sales in the morning hours. The simulated increase in sales on Saturdays, given a one hour increase in trading hours, was then added to monthly sales data on which we ran regressions with standard errors adjusted for clustering. In the regression models, we also accounted for seasonal variation. With 100 simulations of different block randomisations and random effect sizes, we were unable to produce parameter estimates for wine (mean β=0.030) and spirits (mean β=0.025) which were not statistically significant at p< 0.05. However, the effect on beer sales (mean β=0.018) was mostly statistically insignificant. |
| Field Pi as first author | Before No | After Yes |
| Field | Before | After |
|---|---|---|
| Field Document | Before |
After
Timeline+Diagram.pdf
MD5:
4a435999b9ad8970c23ddf05d0b3e9f0
SHA1:
e0d4950fee3cbfe71f619ef339e8d32ef11c0ba9
|
| Field Title | Before | After Timeline Diagram |
| Field | Before | After |
|---|---|---|
| Field Description | Before Short description of study protocol applying the WHO registration form for trial registtration. | After Short description of study protocol applying the WHO registration form for trial registration. |
| Field Public | Before No | After Yes |
| Field | Value |
|---|---|
| Field Document Name | Value Analysis plan - SPIRIT |
| Field Custom Type | Value Pre-Analysis plan |
| Field File |
Value
Analysis+Plan+-+SPIRIT.pdf
MD5:
3c10101d513c8f772cfbef1179d505ee
SHA1:
790da89cb00316ac018803a27f718e887cf07f81
|
| Field Description | Value The pre-analysis plan is a project protocol developed in accordance with the SPIRIT checklist for clinical trial protocols. |
| Field Public | Value Yes |
| Field | Value |
|---|---|
| Field Document Name | Value Timeline Diagram |
| Field Custom Type | Value Participant timeline diagram |
| Field File |
Value
Timeline+Diagram.pdf
MD5:
4a435999b9ad8970c23ddf05d0b3e9f0
SHA1:
e0d4950fee3cbfe71f619ef339e8d32ef11c0ba9
|
| Field Description | Value This diagram gives an overview of the timeline for trading hours in alcohol monopoly outlets in Norway by outlet category, for those eligible for allocation to experimental conditions and those not eligible for RCT. |
| Field Public | Value Yes |