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This article aims to provide examples of opportunities to implement disruptive innovation and offer a framework to introduce it in the public sector – proposing a way to use innovation to make public programs radically cheaper without slashing services.

By focusing on the public sector job to be done – promoting public safety through incarceration vs electronic monitoring – can illuminate how to accomplish the core goals of an existing process in a different way.

The paper finds that the best place to start disruptive innovation tends to be in a market segment that is vastly over‐served or not served at all by the current, dominant model of delivery.

Government has an array of tools and channels that can be used to foster the growth of disruptive technologies.

From homeland security to education, from health care to defense, what is needed are innovations that break traditional trade‐offs, particularly that between price and performance. Disruptive innovation offers a proven path to accomplish this goal and in the process transform public services.

In September 1985, eight sets of children's books from Australia began an odyssey that will take them into all fifty states and Canada by the end of 1988. The books— and the resource, reference and display materials that accompany them—were chosen specifically for their value in introducing non‐Australians to Australia and her children's literature. They also provide an ideal starting point for library collection development.

Work‐related musculoskeletal disorders following patient contact represent a major concern for health care workers. Unfortunately, research and prevention have been hampered by difficulties ascertaining true prevalence rates owing to under‐reporting of these injuries. The purpose of this study is to determine the predictors for under‐reporting work‐related musculoskeletal injuries and their reasons.

Multivariate analysis using data obtained in a survey of Veterans Administration employees in the USA was used to determine underreporting patterns among registered nurses, licensed practical nurses and nursing assistants. Focus groups among health care workers were conducted at one of the largest Veterans Administration hospitals to determine reasons for under‐reporting.

A significant number of workers reported work‐related musculoskeletal pain, which was not reported as an injury but required rescheduling work such as changing shifts and taking sick leave to recuperate. The findings indicate that older health care workers and those with longer service were less likely to report as were those working in the evening and night shifts. Hispanic workers and personnel who had repetitive injuries were prone to under‐reporting, as were workers in places that lack proper equipment to move and handle patients. Reasons for under‐reporting include the time involved, peer pressure not to report and frustration with workers' compensation procedures.

This study provides insights into under‐reporting musculoskeletal injuries in a major US government organization. The research indicates that current reporting procedures appear to be overtly cumbersome in time and effort. More flexible work assignments are needed to cover staff shortfalls owing to injuries. Health education on the detrimental long‐term effects of ergonomic injuries and the need for prompt attention to injuries should prove useful in improving rates of reporting.

Research has indicated that males diagnosed with autism spectrum disorder (ASD) outnumber females diagnosed with ASD, which has been attributed to a number of potential biological and genetic risk factors. The purpose of this paper is to estimate how many girls may be missing from ASD via a two-study format, comparing two distinct data sets to Centers for Disease Control and Prevention population estimates for sex distribution of males vs females in ASD.

In Study 1, the authors utilized data from the National Database for Autism Research as a clinic-based sample. In Study 2, the authors utilized data from the National Survey of Children’s Health as a community-based sample.

The current study estimates that approximately 39 percent more girls should be diagnosed with ASD. The authors estimate that the sex distribution in ASD should be approximately 28 percent female and 72 percent male based upon current practices. Thus, it appears that more females are being identified as potentially having ASD but were not subsequently being diagnosed with ASD as compared to their male counterparts.

These results could suggest that a leaky pipeline in the assessment of girls with ASD may exist along one or more points in the ASD diagnostic process, with one potential point at the level of ASD-specific screening (i.e. the SCQ in Study 1) in the clinic setting and another in the community setting as a whole for universal screening (i.e. NSCH data in Study 2).