IntroductionPlace-based public health evaluations are increasingly making use of natural experiments. This scoping review aimed to provide an overview of the design and use of natural experiment evaluations (NEEs), and an assessment of the plausibility of the as-if randomization assumption.MethodsA systematic search of three bibliographic databases (Pubmed, Web of Science and Ovid-Medline) was conducted in January 2020 to capture publications that reported a natural experiment of a place-based public health intervention or outcome. For each, study design elements were extracted. An additional evaluation of as-if randomization was conducted by 12 of this paper's authors who evaluated the same set of 20 randomly selected studies and assessed ‘as-if ' randomization for each.Results366 NEE studies of place-based public health interventions were identified. The most commonly used NEE approach was a Difference-in-Differences study design (25%), followed by before-after studies (23%) and regression analysis studies. 42% of NEEs had likely or probable as-if randomization of exposure (the intervention), while for 25% this was implausible. An inter-rater agreement exercise indicated poor reliability of as-if randomization assignment. Only about half of NEEs reported some form of sensitivity or falsification analysis to support inferences.ConclusionNEEs are conducted using many different designs and statistical methods and encompass various definitions of a natural experiment, while it is questionable whether all evaluations reported as natural experiments should be considered as such. The likelihood of as-if randomization should be specifically reported, and primary analyses should be supported by sensitivity analyses and/or falsification tests. Transparent reporting of NEE designs and evaluation methods will contribute to the optimum use of place-based NEEs.

• Background Positioning patients is a key component of nursing care and can affect their morbidity and mortality. The Centers for Disease Control and Prevention recommend that patients receiving mechanical ventilation have the head of the bed elevated 30°to 45°to prevent nosocomial pneumonia. However, use of higher backrest positions for critically ill patients is not common nursing practice. Backrest elevation may be affected by the accuracy of nurses’ estimates of patients’ positions. • Objectives To determine the difference between nurses’ estimates of bed angles and measured bed angles and to describe the relationship between nurses’ characteristics and the accuracy of their estimates. • Methods A convenience sample of 67 nurses attending the 1999 American Association of Critical-Care Nurses National Teaching Institute and Critical Care Exposition in New Orleans, La. Each subject provided demographic information and estimated 3 bed angles. The angles were preselected by using a random number table. Summary statistics were used and were categorized according to the demographic information provided by participants. Estimated angles were correlated with measured angles, and accuracies in estimating angles were correlated with demographic characteristics. • Results Nurses were accurate in estimating bed angles (correlation, 0.8488). Demographic information, including sex, age, years of practice, years of critical care practice, basic education, highest educational level, and present position had no relationship to accuracy. • Conclusions Nurses are able to estimate backrest elevation accurately. Other explanations are needed to understand why recommendations for backrest elevation are not used in practice.

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This data note describes a new resource for crime-related research: the Avon Longitudinal Study of Parents and Children (ALSPAC) linked to regional police records. The police data were provided by Avon & Somerset Police (A&SP), whose area of responsibility contains the ALSPAC recruitment area. In total, ALSPAC had permission to link to crime records for 12,662 of the ‘study children’ (now adults, who were born in the early 1990s).  The linkage took place in two stages: Stage 1 involved the ALSPAC Data Linkage Team establishing the linkage using personal identifiers common to both the ALSPAC participant database and A&SP records using deterministic and probabilistic methods. Stage 2 involved A&SP extracting attribute data on the matched individuals, removing personal identifiers and securely sharing the de-identified records with ALSPAC. The police data extraction took place in July 2021, when the participants were in their late 20s/early 30s. This data note contains details on the resulting linked police records available. In brief, electronic police records were available from 2007 onwards. In total, 1757 participants (14%) linked to at least one police record for a charge, offence ‘taken into consideration’, caution, or another out of court disposal. Linked participants had a total of 6413 records relating to 6283 offences. Almost three quarters of the linked participants were male. The most common offence types were violence against the person (22% of records), drug offences (19%), theft (17%) and public order offences (11%). This data note also details important issues that researchers using the local police data should be aware of, including the importance of defining an appropriate denominator, completeness, and biases affecting police records.