Ability of early response to predict discharge outcomes with physical therapy for chronic low back pain.

OBJECTIVE: To determine how well early responses to physical therapy for chronic low back pain predict outcomes at discharge. METHODS: A prospective single cohort study of chronic low back pain patients seen at a university spine physical therapy clinic. Self-reported pain severity on a 100-mm visual analog scale was measured before each physical therapy visit. The predictive variables were the change in pain score at the second, third, and fourth visits. The first outcome variable was discharge change in pain severity for a correlation analysis. The second outcome variable was a dichotomous variable of whether the subjects had achieved at least a 30% reduction in pain severity at discharge for a discriminant analysis. RESULTS: Spearman's rank order correlation coefficient showed that early responses at the second (r = 0.324, P = 0.02) third (r = 0.342, P = 0.01), and fourth visits (r = 0.615, P < 0.001) were all significantly correlated with discharge change in pain. The discriminant analysis showed that early responses from the second to fourth visits were able to correctly predict 80.4% of the discharge outcomes (P < 0.001). CONCLUSIONS: Early responses with physical therapy help predict discharge outcomes for chronic low back pain.

Root cause analysis reports help identify common factors in delayed diagnosis and treatment of outpatients.

Delays in diagnosis and treatment are widely considered to be threats to outpatient safety. However, few studies have identified and described what factors contribute to delays that might result in patient harm in the outpatient setting. We analyzed 111 root cause analysis reports that investigated such delays and were submitted to the Veterans Affairs National Center for Patient Safety in the period 2005-12. The most common contributing factors noted in the reports included coordination problems resulting from inadequate follow-up planning, delayed scheduling for unspecified reasons, inadequate tracking of test results, and the absence of a system to track patients in need of short-term follow-up. Other contributing factors were team-level decision-making problems resulting from miscommunication of urgency between providers and providers' lack of awareness of or knowledge about a patient's situation; and communication failures among providers, patients, and other health care team members. Our findings suggest that to support care goals in the Affordable Care Act and the National Quality Strategy, even relatively sophisticated electronic health record systems will require enhancements. At the same time, policy initiatives should support programs to implement, and perhaps reward the use of, more rigorous interprofessional teamwork principles to improve outpatient communication and coordination.