Many health care systems may be able to use pharmacy data to identify poorly adherent patients with schizophrenia. These patients are at-risk for admission and may benefit from intervention.
Limited concordance between patient preference and patient perception and between patient and physician perception in how the treatment decision was made suggests the need for better communication between patient and clinician during a critical treatment encounter for breast cancer patients.
Many patients with schizophrenia are poorly adherent with antipsychotic medications. The newer, atypical antipsychotics may be more acceptable to patients and result in increased adherence. We used national Department of Veterans Affairs (VA) pharmacy data to examine whether patients receiving atypical agents are more adherent with their medication and explored patient factors associated with adherence. Patients who received a diagnosis of schizophrenia or schizoaffective disorder between October 1, 1998, and September 30, 1999, were identified in the VA National Psychosis Registry. We calculated medication possession ratios (MPRs) for patients filling prescriptions for one (n = 49,003) or two (n = 14,211) antipsychotics during the year. We examined cross-sectional relationships among adherence, type of antipsychotic, and patient characteristics and explored adherence among patients switching antipsychotics during the year. Among patients receiving one antipsychotic, 40 percent had MPRs < 0.8, indicating poor adherence. African-Americans and younger patients were more likely to be poorly adherent Crosssectionally, patients on atypical agents were more likely to be poorly adherent (41.5%) than patients on conventional agents (37.8%). However, among a small group of patients switching from a conventional to an atypical agent (n = 1,661) during the year, the percentage who were poorly adherent decreased from 46 percent to 40 percent We describe the continuum of antipsychotic adherence among a large sample of patients with schizophrenia and confirm that poor adherence is common. African-Americans and younger patients are particularly at risk. Unfortunately, atypical antipsychotics may not be associated with substantial improvements in adherence. More intensive interventions are likely needed.
PURPOSE Recent results suggests the risk of a new onset of depression increases with longer duration of opioid analgesic use. It is unclear whether new-onset depression related to opioid analgesic use is a function of the dose prescribed or the duration of use or both.METHODS Using a retrospective cohort design, we collected patient data from 2000 to 2012 from the Veterans Health Administration (VHA), and from 2003 to 2012 from both Baylor Scott & White Health (BSWH) and the Henry Ford Health System (HFHS). Patients (70,997 VHA patients,13,777 BSWH patients,and 22,981 HFHS patients) were new opioid users, aged 18 to 80 years, without a diagnosis of depression at baseline. Opioid analgesic use duration was defined as 1 to 30, 31 to 90, and more than 90 days, and morphine equivalent dose (MED) was defined as 1 to 50 mg/d, 51 to 100 mg/d, and greater than 100 mg/d of analgesic. Pain and other potential confounders were controlled for by inverse probability of treatment-weighted propensity scores.RESULTS New-onset depression after opioid analgesic use occurred in 12% of the VHA sample, 9% of the BSWH sample, and 11% of the HFHS sample. Compared with 1-to 30-day users, new-onset depression increased in those with longer opioid analgesic use. Risk of new-onset depression with 31 to 90 days of opioid analgesic use ranged from hazard ratio [HR] = 1.18 (95% CI, 1.10-1.25) in VHA to HR = 1.33 (95% CI, 1.16-1.52) in HFHS; in opioid analgesic use of more than 90 days, it ranged from HR = 1.35 (95% CI, 1.26-1.44) in VHA to HR = 2.05 (95% CI, 1.75-2.40) in HFHS. Dose was not significantly associated with a new onset of depression.CONCLUSIONS Opioid-related new onset of depression is associated with longer duration of use but not dose. Patients and practitioners should be aware that opioid analgesic use of longer than 30 days imposes risk of new-onset depression. Opioid analgesic use, not just pain, should be considered a potential source when patients report depressed mood. Ann Fam Med 2016;14:54-62. doi: 10.1370/afm.1885. INTRODUCTIOND epression co-occurs with chronic noncancer pain 1,2 and is known to be associated with opioid use. Patients with chronic noncancer pain and depression are more likely than those without depression to receive opioids, 3 have a longer duration of use, 4,5 take them at higher morphine equivalent doses (MEDs), 6 and misuse and or abuse opioids. 7,8 A review of psychopathology in pain 9 suggests the opioid epidemic in the United States reflects underdetected and undertreated mental illness in patients with chronic pain.Every year more than 200 million prescriptions for opioids are written in the United States. 10 Known consequences of this opioid epidemic include abuse and accidental overdose.11-13 A less understood adverse outcome and emerging line of inquiry is the association between opioid use and risk of depression. In a study of nearly 50,000 Veterans Health Administration (VHA) patients, opioid analgesic use of longer than 180 14 In a prospective study of chronic pain patients, thos...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with đź’™ for researchers
Part of the Research Solutions Family.