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Full-Text Articles in Anesthesiology
Concern For Pain In The Pre-Operative Period- Is The Internet Being Used For Information By Patients?, Denise Hersey, Viji Kurup, Nalini Vadivelu
Concern For Pain In The Pre-Operative Period- Is The Internet Being Used For Information By Patients?, Denise Hersey, Viji Kurup, Nalini Vadivelu
Denise Hersey
OBJECTIVES: This study was conducted to provide information regarding prevalence of pain, type of provider managing pain, and use of Internet for information regarding pain, among patients coming for presurgical anesthesia consultation at a major academic institution. METHODS: With IRB approval, patients were invited to participate in a voluntary and anonymous 14 question survey given to them when they presented for anesthesia consultation prior to their surgical procedure. The qualitative/categorical data were summarized by number (percentage [%]) and analyzed by Chi-square test or Fisher's exact test as appropriate. All data analyses were performed using the statistical software SAS, v9.2. RESULTS: …
Role Of The Internet As An Information Resource For Surgical Patients: A Survey Of 877 Patients, Denise Hersey, Viji Kurup, Allison Consadine
Role Of The Internet As An Information Resource For Surgical Patients: A Survey Of 877 Patients, Denise Hersey, Viji Kurup, Allison Consadine
Denise Hersey
This study was conducted to provide preliminary data regarding current Internet use practices for information about anaesthesia in patients undergoing elective surgical procedures at a major academic institution. METHODS: With IRB approval, 2936 patients coming for preanaesthetic evaluation at a tertiary academic hospital's preadmission testing (PAT) centre were invited to voluntarily participate in a 20-item questionnaire designed to obtain participants' characteristics and Internet use for information pertaining to their upcoming surgery. Data were analysed using statistical software SAS (Cary, NC, USA). Descriptive statistics were calculated for continuous variables using mean (sd), and for categorical data using n (%). Association analysis …