學門類別
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- Teaching & the Case Method
最新個案
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Reducing Sharps Injuries in Massachusetts Hospitals
內容大綱
As Angela Laramie compiled her thirteenth annual report on sharps injuries (SIs) among hospital workers for the Massachusetts Department of Public Health's Occupational Health Surveillance Program, she noted that the prevalence of injuries had remained at the same level for six years in a row. From 2002 through 2009, the SI rates had trended downward as hospitals implemented sharps injury prevention plans, but starting in 2009, the decline in rates and number of sharps injuries appeared to have stalled. Angela hoped to evaluate the reasons for the apparent lack of progress over the last few years, and to reassess the state's approach: were the data they had been collecting adequate to meaningfully capture the sources and incidence of SIs in Massachusetts hospital workers? Did it clearly indicate where interventions should be targeted? Were there other data that could help her better understand the flat trend line? What did the data tell her, and what more should she know?