Browsing by Subject "patient activation"
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Item Activation in persons with mental health disorders: An integrative review(Wiley, 2021-07-26) Keen, Alyson; Lu, Yvonne; Oruche, Ukamaka M.; Mazurenko, Olena; Burke Draucker, Claire; School of NursingWHAT IS KNOWN ON THE SUBJECT?: Evidence indicates a strong relationship between patient activation (i.e. confidence, knowledge and skills to self-manage health) and positive health behaviours and outcomes in a variety of clinical populations. Because persons with mental health disorders experience significant disease burden but often underutilize mental health treatment or experience poor treatment outcomes, they would likely benefit from increases in activation. No systematic reviews have been conducted to summarize and synthesize research on patient activation in persons with mental health disorders. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: To our knowledge, this is the first comprehensive review to identify factors associated with activation and interventions that have shown to be effective in persons with mental health disorders. This integrative review indicates that better health status, less depression, positive health attitudes and behaviours, and higher quality therapeutic relationships may be associated with higher levels of activation in persons with mental health disorders. This review also indicates that a variety of interventions, most notably educational programs, are effective in increasing levels of patient activation in persons with mental health disorders. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Psychiatric mental health nurses and other clinicians should consider routine assessment of patient activation to inform individualized treatment plans for their clients. Clinicians should aim to form high-quality therapeutic relationships with clients as a way to promote higher levels of activation. Interventions that have been found to be effective in improving activation could be offered in a variety of mental health settings. ABSTRACT: Introduction Patient activation is understanding one's role in the healthcare process and having confidence, knowledge, and skills to self-manage one's health and health care. Researchers have begun to investigate patient activation in persons with mental health disorders, but no systematic reviews have been conducted to summarize and synthesize this research. For psychiatric mental health nurses and other clinicians to develop strategies to increase patient activation in this population, more information is needed about factors associated with activation and interventions that increase activation. Review Questions (1) What factors are associated with levels of activation in persons diagnosed with mental health disorders? (2) What interventions have shown to be effective at increasing levels of activation in persons diagnosed with mental health disorders? Method A 5-stage integrative review as described by Whittemore & Knafl. Results Twenty-nine articles were included in the review. Ten provided correlations between activation and other factors, and 20 examined the effects of interventions on activation. Some studies revealed significant correlations between a variety of health and treatment-related factors, and others revealed that some interventions, most notably educational programs, were shown to increase activation. Discussion The findings of this comprehensive review can inform psychiatric mental health nurses and other clinicians in developing strategies to increase activation in the patients with whom they work. More research is needed to provide a deeper understanding of the role of activation in the recovery and treatment of persons with mental health disorders. Implications for Practice Psychiatric nurses and other clinicians should assess for patient activation and incorporate strategies to increase levels of activation in patients in their practice. Positive therapeutic relationships likely enhance activation in persons with mental health disorders.Item Correlates of observer-rated active involvement in psychiatric treatment visits(Elsevier, 2017-10) Bonfils, Kelsey A.; Luther, Lauren; Fukui, Sadaaki; Adams, Erin L.; Dreison, Kimberly C.; Firmin, Ruth L.; Salyers, Michelle P.; Department of Psychology, School of ScienceAmong people with serious mental illness, increased patient activation has been linked to a range of key recovery outcomes. To date, patient activation has been measured largely through self-report. The present study investigated correlates of a new tool that assesses active involvement through rating audio-recordings of treatment visits. The key domains of patient activation assessed in visits included: patients asking questions, discussing with providers instances of being active in managing illness outside the session, talking about goals, bringing up concerns, making evaluative statements about treatment, setting the agenda for the visit, and making requests about the course of treatment. The new coding scheme proved to be a feasible and reliable method for identifying multi-faceted behavioral indicators of patient activation. Contrary to our hypotheses, in a sample of 166 people diagnosed with severe mental illnesses, self-reported activation and observer-rated indices of activation were often not correlated or correlated in unexpected directions with the new behavioral measure of patient activation. This suggests the nature of patient activation may be complex and work is needed to understand how observer-rated and self-rated activation may predict differential recovery outcomes.Item The multidimensional kidney transplant self-management scale : development and psychometric testing(2018-04-03) Chung, Shu-Yu; Hacker, Eileen; Jones, Josette; Ellis, Rebecca Bartlett; Rawl, Susan; Bakas, TamilynPoor long-term kidney transplant outcomes are a significant problem in the U.S. Interventions must focus on preserving allograft function by managing modifiable risk factors. An instrument capable of identifying problems with post-kidney transplant self-management behaviors may enable the design and testing of self-management interventions. This study’s purpose was to test the psychometric properties of the new Kidney Transplant Self-Management Scale (KT–SM). The Zimmerman framework adapted for kidney transplant self-management guided the cross-sectional study. A total of 153 kidney recipients recruited from Facebook® completed the Self-Efficacy for Managing Chronic Disease (SEMCD), Patient Activation Measure (PAM), Kidney Transplant Questionnaire (KTQ), and KT–SM Scale instruments via a REDCap® survey. Most participants were female (65%), White (81.7%), and middle-aged (M = 46.7; SD = 12.4 years) with a history of dialysis (73%) and received a kidney transplant an average of 6.58 years previous (SD = 6.7). Exploratory factor analysis results supported the 16-item KT–SM Scale as a multidimensional scale with five domains with loadings ranging between .39 and .89: medication adherence, protecting kidney, cardiovascular risk reduction, ownership, and skin cancer prevention. Internal consistency reliability for the total scale (Cronbach’s α = .84) and five domains ranged from .71 to .83. The total and domains were positively correlated, ranging from r = .51 to .76, p = .01. Criterion-related validity was evidenced by significant correlations of KT–SM and domains with SEMCD (r =.22 to .53, p = .01), PAM (r = .31 to .52, p = .01), and the overall KTQ (r = .20 to .32, p = .01) except for one KT–SM domain: protecting kidney. Construct validity was evaluated using multivariate regression analysis. The linear combination of age, patient activation, and self-efficacy explained 45% of the variance in KT–SM behaviors; 47% of the variance in KTQ (measuring quality of life) was predicted by age, comorbidity, and self-efficacy. These findings provide beginning evidence of reliability and validity for the newly developed KT–SM scale. Instruments like this may provide a means to capture the self-management behaviors of the kidney transplant population, which is critical for future work on interventions.Item Patient Activation of Persons With Opioid Use Disorder in Intensive Outpatient Treatment(Sage, 2022-05-17) Keen, Alyson; Lu, Yvonne; Oruche, Ukamaka M.; Mazurenko, Olena; Burke Draucker, Claire; School of NursingBackground High patient activation is associated with a variety of positive health outcomes. Although increasing patient activation in persons with opioid use disorder (OUD) in intensive outpatient treatment (IOT) programs may increase engagement and improve outcomes, little is known about how patient activation is manifested in these programs. Aims To describe types of instances in which persons play an active role in their IOT or show self-determination in their recovery generally (patient activation) and types of instances in which they play a passive role in their IOT or have recovery directed by others (patient nonactivation). Methods A qualitative descriptive study using data from a larger grounded theory study was conducted. Interviews were completed with 14 persons with OUD who attended an IOT program within a large health care system in the Midwest. Content analysis was used to create a typology of instances of patient activation or nonactivation in participants’ IOT experiences. Results Six types of instances were identified: (1) making and enacting one’s own treatment decisions, (2) actively collaborating with staff, (3) self-determining one’s disclosure in groups, (4) making a commitment to treatment, (5) taking responsibility for one’s recovery, and (6) taking actions to avoid return to use. Conclusions Patient activation is multidimensional and plays a salient role in IOT experiences. IOT staff should engage patients as active participants in their treatment and encourage mutual goal-setting and shared-decision but should be aware that some approaches used too early in treatment may impede recovery.Item The relationship between hope and patient activation in consumers with schizophrenia: Results from longitudinal analyses(Elsevier, 2015-08) Oles, Sylwia K.; Fukui, Sadaaki; Rand, Kevin L.; Salyers, Michelle P.; Department of Psychology, School of ScienceHope (goal-directed thinking) and patient activation (knowledge and skills to manage one’s illness) are both important in managing chronic conditions like schizophrenia. The relationship between hope and patient activation has not been clearly defined. However, hope may be viewed as a foundational, motivating factor that can lead to greater involvement in care and feelings of efficacy. The purpose of the present study was to understand the prospective relationship between hope and patient activation in a sample of adults with schizophrenia (N=118). This study was a secondary data analysis from a study on Illness Management and Recovery (IMR) – a curriculum-based approach to schizophrenia self-management. Data were collected at baseline (prior to any intervention), and at 9 and 18-month follow-up. As predicted, hope and patient activation were significantly related with each other, showing large positive concurrent correlations. Demographics and background characteristics were not significantly related to patient activation or hope. Longitudinal analyses found no specific directional effect, yet suggested that hope and patient activation mutually influence each other over time. Our findings add flexibility in designing recovery-based interventions – fostering hope may not be a pre-requisite for activating consumers to be more involved in their own care.Item The Relationship Between Race, Patient Activation, and Working Alliance: Implications for Patient Engagement in Mental Health Care(Springer, 2016) Eliacin, Johanne; Coffing, Jessica M.; Matthias, Marianne S.; Burgess, Diana J.; Bair, Matthew J.; Rollins, Angela L.; Department of Psychology, School of ScienceThis study explored the relationship between race and two key aspects of patient engagement—patient activation and working alliance—among a sample of African-American and White veterans (N = 152) seeking medication management for mental health conditions. After adjusting for demographics, race was significantly associated with patient activation, working alliance, and medication adherence scores. Patient activation was also associated with working alliance. These results provide support for the consideration of race and ethnicity in facilitating patient engagement and patient activation in mental healthcare. Minority patients may benefit from targeted efforts to improve their active engagement in mental healthcare.Item Skills-based intervention to enhance collaborative decision-making: systematic adaptation and open trial protocol for veterans with psychosis(Springer, 2021) Treichler, Emily B. H.; Rabin, Borsika A.; Spaulding, William D.; Thomas, Michael L.; Salyers, Michelle P.; Granholm, Eric L.; Cohen, Amy N.; Light, Gregory A.; Psychology, School of ScienceBackground Collaborative decision-making is an innovative decision-making approach that assigns equal power and responsibility to patients and providers. Most veterans with serious mental illnesses like schizophrenia want a greater role in treatment decisions, but there are no interventions targeted for this population. A skills-based intervention is promising because it is well-aligned with the recovery model, uses similar mechanisms as other evidence-based interventions in this population, and generalizes across decisional contexts while empowering veterans to decide when to initiate collaborative decision-making. Collaborative Decision Skills Training (CDST) was developed in a civilian serious mental illness sample and may fill this gap but needs to undergo a systematic adaptation process to ensure fit for veterans. Methods In aim 1, the IM Adapt systematic process will be used to adapt CDST for veterans with serious mental illness. Veterans and Veteran’s Affairs (VA) staff will join an Adaptation Resource Team and complete qualitative interviews to identify how elements of CDST or service delivery may need to be adapted to optimize its effectiveness or viability for veterans and the VA context. During aim 2, an open trial will be conducted with veterans in a VA Psychosocial Rehabilitation and Recovery Center (PRRC) to assess additional adaptations, feasibility, and initial evidence of effectiveness. Discussion This study will be the first to evaluate a collaborative decision-making intervention among veterans with serious mental illness. It will also contribute to the field’s understanding of perceptions of collaborative decision-making among veterans with serious mental illness and VA clinicians, and result in a service delivery manual that may be used to understand adaptation needs generally in VA PRRCs.