Treatment satisfaction is an increasingly popular outcome measure in pain management. While it is a subjective variable, it may nonetheless reflect the quality of care and it may predict other important patient behaviors. The purpose of this study was to prospectively evaluate predictors of satisfaction with treatment for chronic pain. Subjects included 62 adults seeking treatment for pain at a community-based, specialty clinic. Treatment included combinations of analgesic medications (e.g., opioids, tricyclic antidepressants) and procedures performed by anesthesiologists (e.g., epidural steroid injections, facet joint blocks). Subjects completed measures of pain severity, depression, disability, and pain-related anxiety, prior to treatment and at a 6-month follow-up. Follow-up assessment also included measures of treatment satisfaction and characteristics of the patient's clinic experience and a chart review to assess medications, procedures, and number of visits. Comparison of baseline and follow-up data showed statistically significant reductions in pain (25%) and depression. Most patients were satisfied (45.6%) or extremely satisfied (43.9%) with the treatment they received (10.5% was somewhat satisfied, none were dissatisfied). Correlation analyses showed that patient demographic variables did not predict treatment satisfaction. Changes in pain, depression, and pain-related anxiety were associated with treatment satisfaction but change in pain was a relatively weak predictor. Nine of the 16 characteristics of the patient's clinic experience correlated with treatment satisfaction. Regression analyses showed that the strongest unique predictors of treatment satisfaction were the patients feeling their evaluation was complete, believing they received an explanation for clinic procedures, and finding that treatment helped them improve their daily activity.
Background: Cardiac telemetry nuisance alarms due to leads off and poor signal increase staff workflow interruptions, decrease staff trust in technology, and can compromise patient safety. Local Problem: Interventions were directed at reducing nuisance alarms on a 32-bed, non–intensive care - a cardiac telemetry unit. Methods: A nursing staff education module with evidence-based practices for reducing nuisance alarms, a daily care protocol for patients on cardiac telemetry monitoring, and daily audits of protocol adherence were implemented. Results: Staff pre- and posttest comparisons on their knowledge relating to nuisance alarms and the evidence-based protocol demonstrated a significant mean increase of 3.02 (95% CI, 2.55-3.48). Daily audits for 7 weeks demonstrated an average of 58.46% staff adherence. Telemetry technician call volume reduction was 16% postimplementation, while nuisance alarms were not reduced significantly. Conclusions: This rapid-cycle, quality improvement process resulted in minimal reduction in nuisance alarms but improved staff awareness of the issue and reduced workflow interruptions.
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