Showing posts with label antipsychotics. Show all posts
Showing posts with label antipsychotics. Show all posts

Thursday, January 21, 2016

Physical Restraint and Antipsychotic Medication Use among Nursing Home Residents with Dementia

PURPOSE:
To explore antipsychotic (AP) medications and physical restraint use and their effects on physical function and cognition in older nursing home residents.

METHODS:
This retrospective cohort studied involved 532 residents with dementia from 57 nursing homes participating in the Services and Health for Elderly in Long-Term Care study. Poisson log regression models explored the effect of physical restraint and/or AP medication use on cognitive or functional decline at 6 months.

RESULTS:
Physical restraint use was associated with a higher risk of both functional and cognitive decline compared with AP medication use alone. These risks were highest among residents receiving both AP medications and physical restraints, suggesting additive effects.

DISCUSSION:
Physical restraint use, and even more strongly, concurrent physical restraint and AP medication use, is related to function and cognitive decline in nursing home residents with dementia. Antipsychotic use is cautioned, but these results suggest physical restraint use is potentially more risky.

Purchase full article at:   http://goo.gl/aDgx74

  • 1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Centro Medicina dell'Invecchiamento, Università Cattolica del Sacro Cuore, Rome, Italy. Electronic address: andrea.foebel@ki.se.
  • 2Centro Medicina dell'Invecchiamento, Università Cattolica del Sacro Cuore, Rome, Italy.
  • 3Aging and Services Unit, National Institute for Health and Welfare, Helsinki, Finland.
  • 4AGAPLESION Bethesda Clinic, Geriatric Center, Ulm University, Ulm, Germany.
  •  2016 Jan 5. pii: S1525-8610(15)00725-2. doi: 10.1016/j.jamda.2015.11.014.  





Wednesday, December 23, 2015

Economic Impact of Psychiatric Relapse & Recidivism among Adults with Schizophrenia Recently Released from Incarceration: A Markov Model Analysis

OBJECTIVES:
To develop an economic model that estimates the cost burden of psychiatric relapse and recidivism among patients with schizophrenia recently released from incarceration from a US state government perspective.

METHODS:
A Markov state-transition model was developed to estimate the numbers of schizophrenia patients recently-released from incarceration who would experience psychiatric relapse and/or arrest and re-incarceration over a period of 3 years, along with corresponding costs. The model includes three health states: (1) in community, on therapy, (2) in community, off therapy, and (3) incarcerated. It is assumed that a patient's probability of psychiatric hospitalization increases with treatment discontinuation, and the probability of arrest increases with the occurrence of a prior psychiatric hospitalization. Data from the US Census and Bureau of Justice Statistics were used to estimate the model population. Published literature was used to estimate the risks of psychiatric relapse, arrest, and all cost inputs. State-specific incarceration rates and sentence length data (from the state of Florida) were applied. The impact on outcomes and costs was evaluated by varying the rates of anti-psychotic treatment following release from incarceration and the annual risk of medication discontinuation.

RESULTS:
Among 34,500 persons released from incarceration in the state of Florida annually, 5307 were estimated to have schizophrenia. The cumulative 3-year costs to the state government were $21,146,000 and $25,616,000 for criminal justice and psychiatric hospitalization costs, respectively ($3984 per patient criminal justice; $4827 per patient hospitalization costs). A relative 20% increase in the proportion of patients receiving antipsychotic treatment following release from incarceration decreased total cumulative costs over 3 years by $1,871,100 ($353 per patient).

CONCLUSIONS:
The economic impact of psychiatric relapse and recidivism among patients with schizophrenia is substantial from the state government perspective. This general model can be made state-specific by utilizing local criminal justice data sources.

Purchase full article at:   http://goo.gl/EUj3hz

  • 1Boston Health Economics, Inc. , Waltham, MA , USA. 


Wednesday, December 9, 2015

Paradoxes of Evidence in Russian Addiction Medicine.

BACKGROUND:
For many years, clinical protocols for treatment of drug abuse patients and treatment standards in Russian Federation were not grounded on the principles of evidence-based medicine [1]. Recommendations for use of certain drugs were not accompanied by any indication of the level of credibility of the evidence supporting it. The appearance in 2014 of such indications in clinical recommendations can be considered a significant step forward for the science of addiction medicine [2].

OBJECTIVE:
To compare Russian evidence and practice in addiction medicines with international standards.

RESULTS:
The analysis shows that in the wording of recommendations on the use of medicines, some were subject of serious methodological errors. For some drugs globally there is high quality evidence supporting effects of certain drugs globally, but this is not recognized in Russia. As a result, Russian standards of clinical care for the treatment of dependency syndrome are radically different to the standards of therapy, presented in the WHO recommendations. This is due both to the disregard of the meta-analyses presented in the Cochrane reviews and also to the specific bioethical preferences in drug treatment in Russia.

It is known that there is no convincing data on the effectiveness and safety of antipsychotics in the treatment of alcohol dependence syndrome [3]. Thirteen randomized trials with a double blind placebo-controlled design involving 1593 patients assessing effects of amisulpride, aripiprazole, flupentixolum dekonoat, olanzapine, quetiapine, tiapride showed that antipsychotics do not result in abstinence, do not reduce abuse and do not stop craving in alcoholic patients: "Antipsychotics should not be used in patients with a primary diagnosis of dependence. Appointment of antipsychotics for the treatment of substance abuse disorders are contraindicated, since not only does it not improve the condition of patients, but it can even worsen the course of the disease, leading to a reduction in the duration and quality of the remission, and is fraught with serious side effects that threaten the health of patients."SSRI antidepressants indirectly improve the results of treatment of comorbid alcoholism in depressed patients, without affecting alcohol dependence per se. 

Also, there is currently no convincing evidence of the efficacy of anticonvulsants in the treatment of dependence syndrome, particularly alcohol. Despite the fact that traditional psychotherapeutic interventions remain widespread in practice, and treatment of alcohol dependence syndrome showed high efficiency, there is no convincing evidence for long-term benefits as opposed to short-term benefits.The Cochrane Review with data based on 146 scientific studies involving 21,404 patients confirmed the effectiveness of opioid receptor agonists in treatment of opioid dependence. This therapy showed a statistically significant reduction in the use of illegal drugs, HIV transmission and risky sexual behavior, and was significantly more effective compared to the conventional maintenance therapy with opioid receptor antagonists. 

In countries, where law prohibits prescribing and use of opioid agonists for opioid dependence treatment, the drugs of choice are antagonists.A meta-analysis of thirteen randomized placebo-controlled trials of oral form of naltrexone (1158 subjects), did not show any advantages of this type of treatment both for management and prevention of relapse compared with placebo [4]. Special studies also showed no inclination to reduce the use of opiates in patients receiving naltrexone [5]. 

However, studies carried out in Russia, showed the best results for daily intake of naltrexone after detoxification, which increased the duration of remission [6]. It was noted that the effect is associated with higher levels of adherence and family support in the examined population.

An overview based on controlled clinical studies on the use of antipsychotic drugs (neuroleptics) in patients dependent on opioids revealed no evidence of effectiveness of this approach. It was concluded that the use of antipsychotics is justified only in the presence of co-morbid psychiatric problems in patients [7]. In a recent meta-analytic review on the use of atypical antipsychotics for off-label indications (off-label), there was a lack of data to support the effectiveness of their use in substance abuse [8, 9]. The effectiveness of anticonvulsants in the treatment of opioid dependence syndrome has not been proven.

In connection with the above puzzling fact, for Russian standards of treatment (clinical guidelines) the level of credibility of the effectiveness of antipsychotics and antidepressants in treatment of substance abuse is assessed as A or B. This paradox raises the question of the methodology for determining the level of credibility of evidence. It should be noted that Russian recommendations for inclusion of certain drugs and therapies are based on sufficient consensus of experts rather than on the results of meta-analyses [2].

CONCLUSIONS:
This fact casts doubt on credibility and validity of scientific recommendations. Thus, one may say that Russian addiction medicine is not based on evidence, which is, in our view, erroneous and may impair the quality of care.

Purchase full article at:  http://goo.gl/80ptTn

By:  Mendelevich VDZalmunin KY.

  • 1Kazan State Medical University, Kazan.






Monday, August 31, 2015

Mobile Phone Text Message Reminders: Measuring Preferences of People with Antipsychotic Medication

Mobile technology use, including Short Messaging Service (SMS) text messaging, has increased in health care services. Preferences regarding the type or timing of text messages sent by healthcare providers to people with antipsychotic medication have not yet been fully investigated. This study examines the relationship between patients' demographic characteristics and the tailored messages they select. 

The study ("Mobile.Net", ISRCTN: 27704027) includes a structured analysis of a random sub-sample of participants who received messages for 12months. The data were collected in 24 sites and 45 psychiatric hospitals in Finland and analyzed with descriptive statistics and Poisson regression models. The study sample involved 562 people on antipsychotic medication, and a total of 2112 text messages (2 to 25 monthly) were analysed. 

Regarding message content, there was no significant variation in the proportions relating to 'medication', 'treatment appointments' or 'free time'. Monday was the most popular day to receive messages and morning was preferred to later in the day. Age was most closely associated with 'number of messages' and 'time of messages'. 

Older women and younger men preferred higher numbers of messages (p=0.0031). Participants preferred positive, encouraging and slightly humorous messages. 

The findings suggest that messages may be acceptable for difficult to access groups in follow-up. This type of intervention may be useful for various types of patients especially for younger males. To further support the evidence about factors related to message utilization and use, it is important to evaluate the effectiveness of text messages in psychiatric care.

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