To determine if care concordant with 2009 Schizophrenia Patient Outcomes Research Team (PORT) pharmacological recommendations for schizophrenia is associated with decreased mortality.
We conducted a retrospective cohort study of adult Maryland Medicaid beneficiaries with schizophrenia and any antipsychotic use from 1994 to 2004 (N = 2132). We used Medicaid pharmacy data to measure annual and average antipsychotic continuity, to calculate chlorpromazine (CPZ) dosing equivalents, and to examine anti-Parkinson medication use. Cox proportional hazards regression models were used to examine the relationship between antipsychotic continuity, antipsychotic dosing, and anti-Parkinson medication use and mortality.
Annual antipsychotic continuity was associated with decreased mortality. Among patients with annual continuity greater than or equal to 90%, the hazard ratio [HR] for mortality was 0.75 (95% confidence interval [CI] 0.57-0.99) compared with patients with annual medication possession ratios (MPRs) of less than 10%. The HRs for mortality associated with continuous annual and average antipsychotic continuity were 0.75 (95% CI 0.58-0.98) and 0.84 (95% CI 0.58-1.21), respectively. Among users of first-generation antipsychotics, doses greater than or equal to 1500 CPZ dosing equivalents were associated with increased risk of mortality (HR 1.88, 95% CI 1.10-3.21), and use of anti-Parkinson medication was associated with decreased risk of mortality (HR 0.72, 95% CI 0.55-0.95). Mental health visits were also associated with decreased mortality (HR 0.96, 95% CI 0.93-0.98).
Adherence to PORT pharmacological guidelines is associated with reduced mortality among patients with schizophrenia. Adoption of outcomes monitoring systems and innovative service delivery programs to improve adherence to the PORT guidelines should be considered.
"Strategies for early cancer detection should be prioritised and models of care developed to ensure that people with MNSDs receive the same level of physical health care and treatment as the rest of the population. Psychiatric treatments, specifically pharmacotherapies , may have some protective effect against excess mortality (Weinmann et al. 2009) although evidence suggests that this depends on use of medications according to best practice guidelines (Cullen et al. 2013). In contrast, some second generation antipsychotics may actually pose an elevated risk mediated by metabolic side effects (Newcomer, 2005; Smith et al. 2008; Rummel-Kluge et al. 2010). "
[Show abstract][Hide abstract] ABSTRACT: Aims:
Mortality-associated burden of disease estimates from the Global Burden of Disease 2010 (GBD 2010) may erroneously lead to the interpretation that premature death in people with mental, neurological and substance use disorders (MNSDs) is inconsequential when evidence shows that people with MNSDs experience a significant reduction in life expectancy. We explore differences between cause-specific and excess mortality of MNSDs estimated by GBD 2010.
GBD 2010 cause-specific death estimates were produced using the International Classification of Diseases death-coding system. Excess mortality (all-cause) was estimated using natural history models. Additional mortality attributed to MNSDs as underlying causes but not captured through GBD 2010 methodology is quantified in the comparative risk assessments.
In GBD 2010, MNSDs were estimated to be directly responsible for 840 000 deaths compared with more than 13 million excess deaths using natural history models.
Numbers of excess deaths and attributable deaths clearly demonstrate the high degree of mortality associated with these disorders. There is substantial evidence pointing to potential causal pathways for this premature mortality with evidence-based interventions available to address this mortality. The life expectancy gap between persons with MNSDs and the general population is high and should be a focus for health systems reform.
[Show abstract][Hide abstract] ABSTRACT: Nonadherence to appropriately prescribed medication for psychiatric disorders prevents patients from realizing the full benefits of their treatment and negatively impacts on individuals, their families and the healthcare system. Understanding and reducing nonadherence is therefore a key challenge to quality care for patients with psychiatric disorders. This review highlights findings regarding the prevalence and consequence of nonadherence, barriers to adherence and new intervention methods from 2012 onwards.
Recent research has highlighted that nonadherence is a global challenge for psychiatry and has linked nonadherence to poorer outcomes, including hospital admissions, suicide and mortality. Optimizing medication regimens can reduce nonadherence; however, often a complex interplay of factors affects individuals' motivation and ability to follow their prescription. Psychiatrists can enable patients to develop an accurate model of their illness and treatment and facilitate adherence. However, nonadherence is often a hidden issue within consultations. Novel interventions using new technologies and tailoring techniques may have the potential to reduce nonadherence.
Nonadherence remains a significant challenge for patients with psychiatric disorders, physicians and healthcare systems. New developments demonstrate the importance of developing tailored interventions to enable patients to overcome perceptual and practical barriers to adherence.
Current opinion in psychiatry 07/2013; 26(5). DOI:10.1097/YCO.0b013e3283642da4 · 3.94 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Electronic health records (EHRs) have gained attention as a valuable data source for medical research, as its adoption rate continues to rise. However, no method for the monitoring of physicians' prescription patterns has been established. Since EHR maintain all prescription data as well as clinical events that occur during the care of patients, we hypothesized that a physician's prescription pattern can be monitored from EHR. In this study, we developed a novel algorithm named PACE, Prescription pattern Around Clinical Event. This algorithm analyzes distribution of the prescription of specific drugs around the time of a clinical event. In the proof of concept study, prescription changes with regard to hyperkalemia were well represented by the algorithm, and the observed patterns well correlated with the physician's knowledge on hyperkalemia (Cohen's kappa, 0.457-0.653). We expect that this algorithm can be used to monitor the guideline adherence of physicians.
Studies in health technology and informatics 08/2013; 192:986. DOI:10.3233/978-1-61499-289-9-986
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.