Emerging needs in behavioral health and the integrated care model

Medically vulnerable populations are constantly at risk of having poor health related outcomes, low satisfaction in the healthcare system and increased mortality. Studies have shown the increased prevalence rates of various medical comorbidities in patients with severe mental illness. These patients are obviously vulnerable because of their mental illness but they are also more likely to have severe cases of medical conditions commonly seen in the general population. Expenditures and utilization of resources is often inappropriate due to frequent visits for acute needs and low rates of preventative care and primary care appointments. My proposed model focuses on the implementation of the integrated care model which encourages collaboration between mental health professionals and primary care physicians through referral programs or integrated clinic settings. This model is initiated with education to both current clinicians as well as future clinicians through medical schools and residency programs. Once the education component has begun, the next steps are formal exploration, preparation, implementation and evaluation of the model in clinics. The aim is to improve health outcomes by increasing preventative care and using behavioral techniques to assist with adherence, increase satisfaction in the healthcare system and contain expenditures by utilizing primary care services instead of emergency services when appropriate

Early in-session predictors of response to trauma-focused cognitive therapy

Volume 1 of this thesis examines the predictors of response to trauma-focused treatment for posttraumatic stress disorder (PTSD). It is presented in three parts. Part 1 is a literature review of research evaluating the impact of trauma-focused therapy for PTSD on comorbid symptoms of depression. The Downs and Black (1998) checklist was used to assess study quality. Results indicated that both trauma-focused CBT and EMDR treatments were effective in reducing comorbid depression symptoms. However, as interventions varied widely and some studies were affected by significant methodological problems, the generalisability of these results may be limited, and thus areas for further research are also suggested. Part 2 is an empirical study exploring early in-session client and therapist factors that predict later response to treatment. Audio and video recordings of the first or second therapy session of 54 known treatment responders or non-responders were blind-rated for client perseverative thinking, therapist adherence and therapeutic alliance. Results revealed that more perseverative thinking was observed for non-responders than responders to treatment. No group differences were found in regards to therapist adherence or therapeutic alliance. Exploratory analyses revealed that across the sample as a whole, perseverative thinking was associated with reduced therapist adherence to the treatment manual and poorer therapeutic alliance. As this study is one of the first of its kind in this area, recommendations were made for future research opportunities to explore these findings further. Part 3 is a critical appraisal of the empirical study. This elaborates on the main findings of this project and discusses the methodological challenges involved in undertaking this type of research, particularly developing and applying a novel coding frame

The Double-edged Sword: A Mixed Methods Study of the Interplay between Bipolar Disorder and Technology Use

Human behavior is increasingly reflected or acted out through technology. This is of particular salience when it comes to changes in behavior associated with serious mental illnesses including schizophrenia and bipolar disorder. Early detection is crucial for these conditions but presently very challenging to achieve. Potentially, characteristics of these conditions\u27 traits and symptoms, at both idiosyncratic and collective levels, may be detectable through technology use patterns. In bipolar disorder specifically, initial evidence associates changes in mood with changes in technology-mediated communication patterns. However much less is known about how people with bipolar disorder use technology more generally in their lives, how they view their technology use in relation to their illness, and, perhaps most crucially, the causal relationship (if any exists) between their technology use and their disease. To address these uncertainties, we conducted a survey of people with bipolar disorder (N = 84). Our results indicate that technology use varies markedly with changes in mood and that technology use broadly may have potential as an early warning signal of mood episodes. We also find that technology for many of these participants is a double-edged sword: acting as both a culprit that can trigger or exacerbate symptoms as well as a support mechanism for recovery. These findings have implications for the design of both early warning systems and technology-mediated interventions

Evaluating the Impact of a Depression Care Management Program

Depression is a common mental health disorder that causes significant individual and societal burden. Depression care management programs use a collaborative approach to lessen these effects. Evaluating patient satisfaction and experience are essential to obtain a comprehensive view of program benefits. This program evaluation project evaluated the experiences of patients in a depression care management program provided by a healthcare system in Washington state. A mixed methods approach using opened ended question surveys, telephone interviews and PHQ-9 scores provided a deeper understanding of individual experiences. The analysis showed patients were highly satisfied with the program. Collectively, depression severity scores decreased however co-morbid conditions frequently impacted a patient’s progression. This project demonstrates the value of a depression care management program from a patient’s perspective. Program recommendations were designed to mitigate limitations and enhance depression care. Patient feedback is essential to assess the effects of a program and should be incorporated in future evaluations

Digital Innovation in Healthcare: A Device with A Method for Monitoring, Managing and Preventing the Risk of Chronic Polypathological Patients

New digital technologies can have a huge impact on the traditional healthcare sector, both from a clinical and economic perspective. Doctors and health specialists will increasingly need technology to improve the services they provide to their patients. Here a novel patented device for automatic processing of clinical data of chronic poly-pathological patients is presented. The invention consists of a reconfigurable equipment that allows the assessment of clinical risk severity indexes that can be customized for polypathological patients and which acts both as a decision support system for specialist doctors in the diagnosis and treatment phases, and as a monitoring system in the clinical environment

An Overview on Patient-Centered Clinical Services

Drug-related problems (DRPs) had often been a concern in the system that needed to be detected, avoided, and addressed as soon as possible. The need for a clinical pharmacist becomes even more important. He is the one who can not only share the load but also be an important part of the system by providing required advice. They fill out the patient's pharmacotherapy reporting form and notify the medical team's head off any drug-related issues. General practitioners register severe adverse drug reactions (ADRs) yearly. As a result of all of this, a clinical pharmacist working in and around the healthcare system is expected to advance the pharmacy industry. Its therapy and drugs can improve one's health quality of life by curing, preventing, or diagnosing a disease, sign, or symptom. The sideshows, on the other hand, do much harm. Because of the services they offer, clinical pharmacy has grown in popularity. To determine the overall effect and benefits of the emergency department (ED) clinical pharmacist, a systematic review of clinical practice and patient outcomes will be needed. A clinical pharmacist's anatomy, toxicology, pharmacology, and medicinal chemistry expertise significantly improves a patient's therapy enforcement. It is now important to examine the failure points of healthcare systems as well as the individuals involved

Benchmarking Treatment Response in Tourette’s Disorder: A Psychometric Evaluation and Signal Detection Analysis of the Parent Tic Questionnaire

This study assessed the psychometric properties of a parent-reported tic severity measure, the Parent Tic Questionnaire (PTQ), and used the scale to establish guidelines for delineating clinically significant tic treatment response. Participants were 126 children ages 9 to 17 who participated in a randomized controlled trial of Comprehensive Behavioral Intervention for Tics (CBIT). Tic severity was assessed using the Yale Global Tic Severity Scale (YGTSS), Hopkins Motor/Vocal Tic Scale (HMVTS) and PTQ; positive treatment response was defined by a score of 1 (very much improved) or 2 (much improved) on the Clinical Global Impressions – Improvement (CGI-I) scale. Cronbach’s alpha and intraclass correlations (ICC) assessed internal consistency and test-retest reliability, with correlations evaluating validity. Receiver- and Quality-Receiver Operating Characteristic analyses assessed the efficiency of percent and raw-reduction cutoffs associated with positive treatment response. The PTQ demonstrated good internal consistency (α = 0.80 to 0.86), excellent test-retest reliability (ICC = .84 to .89), good convergent validity with the YGTSS and HM/VTS, and good discriminant validity from hyperactive, obsessive-compulsive, and externalizing (i.e., aggression and rule-breaking) symptoms. A 55% reduction and 10-point decrease in PTQ Total score were optimal for defining positive treatment response. Findings help standardize tic assessment and provide clinicians with greater clarity in determining clinically meaningful tic symptom change during treatment

COMORBIDITY BETWEEN FACTITIOUS AND BORDERLINE PERSONALITY DISORDER: A NARRATIVE ANALYSIS

Background: Factitious disorder (FD) illnesses have increased recently, primarily due to comorbidity with borderline personality disorder (BPD). Psychiatrists, hospital doctors, and general practitioners are interested in and concerned about patients with comorbid FD-BPD. Subjects and methods: We used a qualitative analysis of prototypical narratives collected as vignettes by merging individual contributions, case histories, naturalistic observations, and data from mental health practitioners into specific descriptions. Our study used a phenomenological and narrative method to illustrate the contents and behaviours in FD-BPD comorbidity. Results: Fourteen case vignettes were created from our case studies. These categories included knowledge of symptoms and medical terms, dramatisation, symptoms ambiguity, unexplainable deterioration of symptoms, symptom inventiveness, craving for painkillers, conflicts with health carers, hospital migration, piling of medication and search for invasive diagnostic procedures. Conclusions: The combined use of narrative analysis and naturalistic observation has helped identify a unique comorbid condition of FD-BPD, which is not yet clearly described in its behavioural components by the international literature. The current study presents novel findings into a condition becoming progressively popular in psychiatric and medical settings

Developing a Tool to Support Decisions on Patient Prioritization at Admission to Home Health Care

Background and aims: Millions of Americans are discharged from hospitals to home health every year and about third of them return to hospitals. A significant number of rehospitalizations (up to 60%) happen within the first two weeks of services. Early targeted allocation of services for patients who need them the most, have the potential to decrease readmissions. Unfortunately, there is only fragmented evidence on factors that should be used to identify high-risk patients in home health. This dissertation study aimed to (1) identify factors associated with priority for the first home health nursing visit and (2) to construct and validate a decision support tool for patient prioritization. I recruited a geographically diverse convenience sample of nurses with expertise in care transitions and care coordination to identify factors supporting home health care prioritization. Methods: This was a predictive study of home health visit priority decisions made by 20 nurses for 519 older adults referred to home health. Variables included sociodemographics, diagnosis, comorbid conditions, adverse events, medications, hospitalization in last 6 months, length of stay, learning ability, self-rated health, depression, functional status, living arrangement, caregiver availability and ability and first home health visit priority decision. A combination of data mining and logistic regression models was used to construct and validate the final model. Results: The final model identified five factors associated with first home health visit priority. A cutpoint for decisions on low/medium versus high priority was derived with a sensitivity of 80% and specificity of 57.9%, area under receiver operator curve (ROC) 75.9%. Nurses were more likely to prioritize patients who had wounds (odds ratio [OR]=1.88), comorbid condition of depression (OR=1.73), limitation in current toileting status (OR= 2.02), higher numbers of medications (increase in OR for each medication =1.04) and comorbid conditions (increase in OR for each condition =1.04). Discussion: This dissertation study developed one of the first clinical decision support tools for home health, the PREVENT - Priority for Home Health Visit Tool. Further work is needed to increase the specificity and generalizability of the tool and to test its effects on patient outcomes