Abstract
Study Objective: To identify factors that may influence the implementation of acute pain management guidelines in hospital settings. Design: Two questionnaire surveys. Setting: Healthcare Association of New York State, Albany, NY. Measurement: The surveys were administered to 220 hospitals in New York State regarding their acute pain management practices and resources available. One survey was addressed to each hospital’s chief executive officer (CEO) and the second survey was addressed to the clinical director of the Department of Anesthesiology or Acute Pain Service. The barriers and incentives to guideline implementation identified by CEOs were analyzed using factor analysis. Logistic regression was employed to determine predictors of guideline implementation by linking the CEOs’ survey data with the clinical directors’ report of guideline usage. Main Results: According to clinical directors, only 27% of the responding hospitals were using a published pain management practice guideline. Factors predictive of guideline implementation include resource availability and belief in the benefits of using guidelines to improve quality of care or to achieve economic/legal advantages. Guideline implementation, however, does not necessarily include applying all key elements recommended by the federal Agency for Healthcare Research and Quality (formerly Agency for Health Care Policy and Research) guideline. For example, a collaborative, interdisciplinary approach to pain control was used in only 42% of the hospitals, and underutilization of nonpharmacologic therapies to control pain was widespread. Resource availability, particularly staff with expertise in pain management and existence of a formal quality assurance program to monitor pain management, was significantly predictive of compliance with key guideline elements. Conclusions: Resource availability significantly influences the implementation of pain management practice guidelines in hospital settings. Implementation is often incomplete because various factors affect the feasibility of individual guideline elements and may explain the varying results that guidelines have had on clinical practices.
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