Patient, Provider, and System Factors Contributing to Patient Safety Events During Medical and Surgical Hospitalizations for Persons With Serious Mental Illness.
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SUBMITTER: McGinty EE
PROVIDER: S-EPMC5559891 | biostudies-other | 2017 Jun
REPOSITORIES: biostudies-other
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Project description:This study explored the risk of patient safety events and associated nonfatal physical harms and mortality in a cohort of persons with serious mental illness. This group experiences high rates of medical comorbidity and premature mortality and may be at high risk of adverse patient safety events.Medical record review was conducted for medical-surgical hospitalizations occurring during 1994-2004 in a community-based cohort of Maryland adults with serious mental illness. Individuals were eligible if they died within 30 days of a medical-surgical hospitalization and if they also had at least one prior medical-surgical hospitalization within five years of death. All admissions took place at Maryland general hospitals. A case-crossover analysis examined the relationships among patient safety events, physical harms, and elevated likelihood of death within 30 days of hospitalization.A total of 790 hospitalizations among 253 adults were reviewed. The mean number of patient safety events per hospitalization was 5.8, and the rate of physical harms was 142 per 100 hospitalizations. The odds of physical harm were elevated in hospitalizations in which 22 of the 34 patient safety events occurred (p<.05), including medical events (odds ratio [OR]=1.5, 95% confidence interval [CI]=1.3-1.7) and procedure-related events (OR=1.6, CI=1.2-2.0). Adjusted odds of death within 30 days of hospitalization were elevated for individuals with any patient safety event, compared with those with no event (OR=3.7, CI=1.4-10.3).Patient safety events were positively associated with physical harm and 30-day mortality in nonpsychiatric hospitalizations for persons with serious mental illness.
| S-EPMC5048490 | biostudies-literature
Project description:Overweight and obesity are epidemic among persons with serious mental illness, yet weight-loss trials systematically exclude this vulnerable population. Lifestyle interventions require adaptation in this group because psychiatric symptoms and cognitive impairment are highly prevalent. Our objective was to determine the effectiveness of an 18-month tailored behavioral weight-loss intervention in adults with serious mental illness.We recruited overweight or obese adults from 10 community psychiatric rehabilitation outpatient programs and randomly assigned them to an intervention or a control group. Participants in the intervention group received tailored group and individual weight-management sessions and group exercise sessions. Weight change was assessed at 6, 12, and 18 months.Of 291 participants who underwent randomization, 58.1% had schizophrenia or a schizoaffective disorder, 22.0% had bipolar disorder, and 12.0% had major depression. At baseline, the mean body-mass index (the weight in kilograms divided by the square of the height in meters) was 36.3, and the mean weight was 102.7 kg (225.9 lb). Data on weight at 18 months were obtained from 279 participants. Weight loss in the intervention group increased progressively over the 18-month study period and differed significantly from the control group at each follow-up visit. At 18 months, the mean between-group difference in weight (change in intervention group minus change in control group) was -3.2 kg (-7.0 lb, P=0.002); 37.8% of the participants in the intervention group lost 5% or more of their initial weight, as compared with 22.7% of those in the control group (P=0.009). There were no significant between-group differences in adverse events.A behavioral weight-loss intervention significantly reduced weight over a period of 18 months in overweight and obese adults with serious mental illness. Given the epidemic of obesity and weight-related disease among persons with serious mental illness, our findings support implementation of targeted behavioral weight-loss interventions in this high-risk population. (Funded by the National Institute of Mental Health; ACHIEVE ClinicalTrials.gov number, NCT00902694.).
| S-EPMC3743095 | biostudies-literature
Project description:Prior studies suggest variation in the quality of medical care for somatic conditions such as cardiovascular disease and diabetes provided to persons with SMI, but to date no comprehensive review of the literature has been conducted. The goals of this review were to summarize the prior research on quality of medical care for the United States population with SMI; identify potential sources of variation in quality of care; and identify priorities for future research.Peer-reviewed studies were identified by searching four major research databases and subsequent reference searches of retrieved articles. All studies assessing quality of care for cardiovascular disease, diabetes, dyslipidemia, and HIV/AIDs among persons with schizophrenia and bipolar disorder published between January 2000 and December 2013 were included. Quality indicators and information about the study population and setting were abstracted by two trained reviewers.Quality of medical care in the population with SMI varied by study population, time period, and setting. Rates of guideline-concordant care tended to be higher among veterans and lower among Medicaid beneficiaries. In many study samples with SMI, rates of guideline adherence were considerably lower than estimated rates for the overall US population.Future research should identify and address modifiable provider, insurer, and delivery system factors that contribute to poor quality of medical care among persons with SMI and examine whether adherence to clinical guidelines leads to improved health and disability outcomes in this vulnerable group.
| S-EPMC4670551 | biostudies-literature
Project description:This study examined variation in the implementation of California's Full Service Partnerships (FSPs), which are supported housing programs that do "whatever it takes" to improve outcomes among persons with serious mental illness who are homeless or at risk of homelessness.Ninety-three FSPs in California.A mixed methods approach was selected to develop a better understanding of the complexity of the FSP programs. The design structure was a combined explanatory and exploratory sequential design (qual?QUAN?qual) where a qualitative focus group was used to develop a quantitative survey that was followed by qualitative site visits. The survey was used to describe the breadth of variation based on fidelity to the Housing First model, while the site visits were used to provide a depth of information on high- versus low-fidelity programs.We found substantial variation in implementation among FSPs. Fidelity was particularly low along domains related with housing and service philosophy, indicating that many FSPs implemented a rich array of services but applied housing readiness requirements and did not adhere to consumer choice in housing.There remains room for improvement in the recovery-orientation of FSPs. Fortunately, we have identified several processes by which program managers and counties can increase the fidelity of their programs.
| S-EPMC4097835 | biostudies-other
Project description:BackgroundInterventions with patients with Serious Mental Illness (SMI) had to adapt rapidly to the COVID-19 safety restrictive measures, leading to the widespread use of teletherapy as an alternative.ObjectivesThe aims of this study were to compare the use of different intervention modalities with patients with SMI during the first wave of the pandemic and examine their association with emergency hospital visits and hospitalization rates six months later.MethodsRecords of 270 service users of fifteen outpatient mental health services across Spain, were retrospectively assessed. We retrieved clinical data and data on the modality of intervention received (in-person, over the phone, videoconferencing) in three time points (before, during and after the first COVID-19 wave). Also, data were retrieved regarding the frequency of their emergency hospital visits and hospitalization rates, two, four and six months later.ResultsDuring the first wave of the pandemic, teletherapy (over the phone and videoconferencing) was the modality most widely used, whilst in-person therapy sessions were significantly reduced, though they seemed to return to pre-COVID levels after the first wave had passed. Importantly, patients receiving teletherapy during the first wave seemed to have significantly fewer emergency visits and hospitalization rates four and six months later (Ļ2 = 13.064; p < .001). Multilevel analyses revealed that patients receiving videoconferencing interventions had fewer hospitalizations six months after the first wave (OR = 0.25; p = .012).ConclusionsUnder challenging circumstances as those created by the COVID pandemic, teletherapy is a useful tool for protection against hospitalizations and can be used as an alternative to in-person therapy, to ensure continuity of care for patients with SMI.
| S-EPMC9015154 | biostudies-literature
Project description:Police officers' decisions and behaviors are impacted by the neighborhood context in which police encounters occur. For example, officers may use greater force and be more likely to make arrests in disadvantaged neighborhoods. We examined whether neighborhood characteristics influence police encounters with individuals suspected to have a serious mental illness, addictive disorder, or developmental disability.We obtained data on 916 encounters from 166 officers in six jurisdictions in Georgia, USA and abstracted geographical data pertaining to the location of these encounters from United States Decennial Census data. Encounters were nested within 163 census tracts. Officer-reported data covered general encounter characteristics, the officer's perception of the subject's condition, subject demographics, use of force, and disposition of the encounter (e.g., arrest v. referral or transport to treatment services). Geographical data included 17 variables representing population and housing characteristics of the census tracts, from which three indices pertaining to neighborhood income, stability, and immigration status were derived using factor-analytic techniques. We then examined associations of these indices with various encounter-related variables using multi-level analysis.Encounters taking place in higher-income and higher-stability census tracts were more likely to be dispatch-initiated and take place in a private home compared to those in lower-income and lower-stability neighborhoods. In higher-income neighborhoods, encounters were more likely to involve a subject suspected to have a mental illness (as opposed to an addictive disorder or developmental disability) and less likely to involve a subject suspected to have alcohol problems. The officer's level of force used was not associated with neighborhood factors. Regarding disposition, although the likelihood of arrest was unrelated to neighborhood characteristics, encounters taking place in higher-immigrant neighborhoods were more likely to result in referral or transport to services than those in lower-immigrant neighborhoods.Neighborhood characteristics are important to consider in research on police interactions with individuals with serious mental illnesses, addictive disorders, or developmental disabilities. Such research could inform departmental training policies and procedures based on the needs of the jurisdictions served.
| S-EPMC4929689 | biostudies-literature
Project description:Persons with serious mental illnesses are at increased risk for contracting and transmitting HIV and often have poor adherence to medication regimens. Determining the economic feasibility of different HIV adherence interventions among individuals with HIV and serious mental illness is important for program planners who must make resource allocation decisions. The goal of this study was to provide a methodology to estimate potential cost savings from an HIV medication adherence intervention program for a new study population, using data from prior published studies. The novelty of this approach is the way CD4 count data was used as a biological marker to estimate costs averted by greater adherence to anti-retroviral treatment. Our approach is meant to be used in other adherence intervention studies requiring cost modeling.
| S-EPMC4478285 | biostudies-literature
Project description:People with serious mental illness (SMI) have mortality rates 2 to 3 times higher than the overall US population, largely due to cardiovascular disease. The prevalence of cardiovascular risk factors such as obesity and diabetes mellitus and other conditions, such as HIV/AIDS, is heightened in this group. Based on the recommendations of a National Institute of Mental Health stakeholder meeting, we conducted a comprehensive review examining the strength of the evidence surrounding interventions to address major medical conditions and health-risk behaviors among persons with SMI. Peer-reviewed studies were identified using 4 major research databases. Randomized controlled trials and observational studies testing interventions to address medical conditions and risk behaviors among persons with schizophrenia and bipolar disorder between January 2000 and June 2014 were included. Information was abstracted from each study by 2 trained reviewers, who also rated study quality using a standard tool. Following individual study review, the quality of the evidence (high, medium, low) and the effectiveness of various interventions were synthesized. 108 studies were included. The majority of studies examined interventions to address overweight/obesity (n = 80). The strength of the evidence was high for 4 interventions: metformin and behavioral interventions had beneficial effects on weight loss; and bupropion and varenicline reduced tobacco smoking. The strength of the evidence was low for most other interventions reviewed. Future studies should test long-term interventions to cardiovascular risk factors and health-risk behaviors. In addition, future research should study implementation strategies to effectively translate efficacious interventions into real-world settings.
| S-EPMC4681556 | biostudies-literature
Project description:BackgroundImplementation researchers have sought ways to use simulations to support the core components of implementation, which typically include assessing the need for change, designing implementation strategies, executing the strategies, and evaluating outcomes. The goal of this paper is to explain how agent-based modeling could fulfill this role.MethodsWe describe agent-based modeling with respect to other simulation methods that have been used in implementation science, using non-technical language that is broadly accessible. We then provide a stepwise procedure for developing agent-based models of implementation processes. We use, as a case study to illustrate the procedure, the implementation of evidence-based smoking cessation practices for persons with serious mental illness (SMI) in community mental health clinics.ResultsFor our case study, we present descriptions of the motivating research questions, specific models used to answer these questions, and a summary of the insights that can be obtained from the models. In the first example, we use a simple form of agent-based modeling to simulate the observed smoking behaviors of persons with SMI in a recently completed trial (IDEAL, Comprehensive Cardiovascular Risk Reduction Trial in Persons with SMI). In the second example, we illustrate how a more complex agent-based approach that includes interactions between patients, providers and site administrators can be used to provide guidance for an implementation intervention that includes training and organizational strategies. This example is based in part on an ongoing project focused on scaling up evidence-based tobacco smoking cessation practices in community mental health clinics in Maryland.ConclusionIn this paper we explain how agent-based models can be used to address implementation science research questions and provide a procedure for setting up simulation models. Through our examples, we show how what-if scenarios can be examined in the implementation process, which are particularly useful in implementation frameworks with adaptive components.
| S-EPMC8297792 | biostudies-literature
Project description:ImportancePersons with serious mental illness have a cardiovascular disease mortality rate more than twice that of the overall population. Meaningful cardiovascular risk reduction requires targeted efforts in this population, who often have psychiatric symptoms and cognitive impairment.ObjectiveTo determine the effectiveness of an 18-month multifaceted intervention incorporating behavioral counseling, care coordination, and care management for overall cardiovascular risk reduction in adults with serious mental illness.Design, setting, and participantsThis randomized clinical trial was conducted from December 2013 to November 2018 at 4 community mental health outpatient programs in Maryland. The study recruited adults with at least 1 cardiovascular disease risk factor (hypertension, diabetes, dyslipidemia, current tobacco smoking, and/or overweight or obesity) attending the mental health programs. Of 398 participants screened, 269 were randomized to intervention (132 participants) or control (137 participants). Data collection staff were blinded to group assignment. Data were analyzed on the principle of intention to treat, and data analysis was performed from November 2018 to March 2019.InterventionsA health coach and nurse provided individually tailored cardiovascular disease risk reduction behavioral counseling, collaborated with physicians to implement appropriate risk factor management, and coordinated with mental health staff to encourage attainment of health goals. Programs offered physical activity classes and received consultation on serving healthier meals; intervention and control participants were exposed to these environmental changes.Main outcomes and measuresThe primary outcome was the change in the risk of cardiovascular disease from the global Framingham Risk Score (FRS), which estimates the 10-year probability of a cardiovascular disease event, from baseline to 18 months, expressed as percentage change for intervention compared with control.ResultsOf 269 participants randomized (mean [SD] age, 48.8 [11.9] years; 128 men [47.6%]), 159 (59.1%) had a diagnosis of schizophrenia or schizoaffective disorder, 67 (24.9%) had bipolar disorder, and 38 (14.1%) had major depressive disorder. At 18 months, the primary outcome, FRS, was obtained for 256 participants (95.2%). The mean (SD) baseline FRS was 11.5% (11.5%) (median, 8.6%; interquartile range, 3.9%-16.0%) in the intervention group and 12.7% (12.7%) (median, 9.1%; interquartile range, 4.0%-16.7%) in the control group. At 18 months, the mean (SD) FRS was 9.9% (10.2%) (median, 7.7%; interquartile range, 3.1%-12.0%) in the intervention group and 12.3% (12.0%) (median, 9.7%; interquartile range, 4.0%-15.9%) in the control group. Compared with the control group, the intervention group experienced a 12.7% (95% CI, 2.5%-22.9%; Pā=ā.02) relative reduction in FRS at 18 months.Conclusions and relevanceAn 18-month behavioral counseling, care coordination, and care management intervention statistically significantly reduced overall cardiovascular disease risk in adults with serious mental illness. This intervention provides the means to substantially reduce health disparities in this high-risk population.Trial registrationClinicalTrials.gov Identifier: NCT02127671.
| S-EPMC7293000 | biostudies-literature