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Table 3 Summary table on risk of bias of the included interrupted time series studies (excludes two studies (35, 36) that could not be assessed)

From: A systematic review: effectiveness of mass media campaigns for reducing alcohol-impaired driving and alcohol-related crashes

ITS

Intervention independent of other changes

Shape of the intervention effect pre-specified

Intervention unlikely to affect data collection

Knowledge of the allocated interventions adequately prevented during the study

Incomplete outcome data adequately addressed

Study free from selective outcome reporting

Study free from other risks of bias

Whittam 2006 [18]

Low risk (ARIMA model used and had comparator site)

Low risk

Low risk

Low risk

Low risk

High risk (crash data only for 16–19 year olds)

Low risk (has comparator site, using ARIMA model)

Good quality study

Murry 1993 [19]

Low risk (authors state that data were transformed to isolate the experimental effect from any extraneous influences)

Low risk

Low risk

Low risk

Low risk

High risk (using proxy indicator, using certain age group only)

Low risk (using comparator site, using model)

Good quality study

Newstead 1995 [20]

Low risk (regression model used to account for other factors)

Low risk

Low risk

Low risk

Low risk

Unclear risk (using proxy indicator)

Low risk (using regression model, but no comparator site)

Good quality study

Tay 2002 [21]

Low risk (used regression models to exclude other factors)

Low risk

Low risk

Low risk

Unclear risk (States that some inconsistencies may exist in the reporting as done by local police)

Unclear risk (used proxy measures)

Low risk

Good quality study

Fell 2008 [23]

High risk (other enforcement measures took place)

Low risk

Low risk

Low risk

Low risk

Low risk

Low risk

Intermediate quality study

Zwicker 2007a [24]

High risk (enforcement also took place)

Low risk

Low risk

Low risk

Low risk

Low risk

Low risk (used ARIMA model and applied parameters to model periodic fluctuations in the crash rates)

Intermediate quality study

Zwicker 2007b [25]

High risk (enforcement also took place)

Low risk

Low risk

Low risk

Low risk

Low risk

Low risk (contiguous county data were used to remove factors that may have obscured the effect of the campaign on the trend)

Intermediate quality study

Lacey 2008 [26]

High risk (law enforcement activities also took place)

Low risk

Low risk

Low risk

Low risk

Low risk

Low risk (ARIMA model used)

Intermediate quality study

Epperlein 1987 [29]

Unclear risk (no comparator site, but daytime crashes used to account for other changes)

Low risk

Low risk

Low risk

Low risk

Unclear risk (using proxy indicator)

High risk, not using model

Low quality

Miller 2004 [30]

High risk (media campaign done together with other enforcements, though model was used to look at each interventions)

Low risk

Low risk

Low risk

Low risk

Unclear risk (using proxy indicator, fatal nighttime crashes)

High risk (ARIMA model was used, but evaluation of mixed approaches in different areas over different period)

Low quality study

Agent 2002 [27]

High risk (enforcement activities also took place as part of the campaign)

Low risk

Low risk

Low risk

Low risk

Unclear risk (documentation of alcohol use is dependent on the reporting officer)

High risk (no model used)

Low quality study

Solomon 2008 [28]

High risk (enforcement measures also in place)

Low risk

Low risk

Low risk

Low risk

Low risk

High risk (Only looking at changes in absolute numbers, no application of models, no comparator site)

Low quality study

Beck 2009 [31]

High risk (enforcement also took place)

High risk (point of analysis not clear)

Low risk

Low risk

Low risk

Low risk

High risk (only looking at the absolute number of alcohol-related crashes, not using any models or accounting for rates in comparator sites)

Low quality study

NHTSA 2007 [32]

High risk (enforcement also took place)

Low risk

Low risk

Low risk

Low risk

Low risk

High risk (compared with non-intervention sites, but no model used. Unclear if other factors accounted for)

Low quality study

Suriyawongpaisal 2002 [33]

High risk (enforcement measures also used)

High risk (point of analysis is not the point of intervention, and not clearly stated why the data points were selected)

Low risk

High risk (hospital staff of the study sites were not blinded, and could have affected how they collected data)

High risk (not sure what proportion of cases were missed in each period, data collection dependent on hospitals enrolled)

Unclear risk

High risk (the study did not account for other changes that could have affected the outcome)

Low quality study

  1. ARIMA, Autoregressive Moving Average Model; ITS, Interrupted Time Series; NHTSA, National Highway Traffic Safety Administration