From Patient to Student Activation: Development of the Student Activation Measure

The Patient Activation Measure (PAM) was constructed to measure a person’s knowledge, skill, and confidence for self-managing one’s healthcare, or “activation” (Hibbard, Stockard, Mahoney, & Tusler, 2004). The Student Activation Measure (SAM) extends this definition to secondary education. The SAM is a short, positively worded measure that is intended to guide intervention planning. Six hundred three students from two disparate high schools located in the Pacific Northwest completed the measure and an accompanying demographic questionnaire. The respective schools provided the students’ GPAs and attendance records. Using Rasch modeling, the SAM evidenced excellent reliability and construct validity. One-way ANOVAs with post hoc Scheffe’s tests showed that higher SAM scores had significantly higher GPAs, fewer absences, increased time spent on homework, and less time spent on social media or playing video games. Overall, the SAM showed promise as both a research and intervention tool. In addition, the concept of activation has the added benefits of ease of measurement and bridges the gap between evidence-based practices in medicine and secondary education. Further research is needed to understand the properties of the SAM when used with students diagnosed with learning impairing disorders such as ADHD

Development and Psychometric Analysis of The Patient Perceptions of Patient-Empowering Nurse Behaviours Scale (PPPNBS)

Aim To (1) develop and psychometrically test the Patient Perceptions of Patient-Empowering Nurse Behaviours Scale, which measures patient perceptions of empowering nurse behaviours during hospitalization; and (2) refine to a shorter, more useful form, for measurement in clinical settings. Background Although patient empowerment has been promoted as a way to engage patients in chronic illness care, there is not a measure reported by patients as recipients of empowering nurse behaviours during hospitalization. Design Psychometric evaluation of construct and predictive validity, reliability and item reduction. Method Data gathered during hospitalization and six weeks postdischarge between April 2012 - August 2014 were used to determine the validity and reliability of the long and short-form Patient Perceptions of Patient-Empowering Nurse Behaviours Scale in a sample of 395 chronically ill medical and surgical adult patients. Results The long and short-form Patient Perceptions of Patient-Empowering Nurse Behaviours Scale demonstrated strong reliability and convergent validity with pre-discharge 13-item Patient Activation Measure scores. Both forms of the Patient Perceptions of Patient-Empowering Nurse Behaviours Scale predicted postdischarge 13-item Patient Activation Measure scores and the long-form predicted physical health status. Confirmatory factor analysis demonstrated improved model fit for the short-form instrument when compared with the long-form fit. The short-form Patient Perceptions of Patient-Empowering Nurse Behaviours Scale explained 98% of the variance of the long-form Patient Perceptions of Patient-Empowering Nurse Behaviours Scale. Conclusion The results provide evidence supporting reliability and validity of both forms. While the scales measure patient reports and not direct observation of empowering nurse behaviours, incorporating patients\u27 experiences as recipients of care is necessary to validate the contribution of nursing care to patients\u27 engagement in chronic illness management

Validation of the Patient Activation Measure in a Multiple Sclerosis Clinic Sample and Implications for Care

Purpose. Patient engagement in multiple sclerosis (MS) care can be challenging at times given the unpredictable disease course, wide range of symptoms, variable therapeutic response to treatment and high rates of patient depression. Patient activation, a model for conceptualising patients’ involvement in their health care, has been found useful for discerning patient differences in chronic illness management. The purpose of this study was to validate the patient activation measure (PAM-13) in an MS clinic sample. Methods. This was a survey study of 199 MS clinic patients. Participants completed the PAM-13 along with measures of MS medication adherence, self-efficacy, depression and quality of life. Results. Results from Rasch and correlation analyses indicate that the PAM-13 is reliable and valid for the MS population. Activation was associated with MS self-efficacy, depression and quality of life but not with self-reported medication adherence. Also, participants with relapse-remitting MS, current employment, or high levels of education were more activated than other subgroups. Conclusions. The PAM-13 is a useful tool for understanding health behaviours in MS. The findings of this study support further clinical consideration and investigation into developing interventions to increase patient activation and improve health outcomes in MS

When Patient Activation Levels Change, Health Outcomes and Costs Change, Too

Patient engagement has become a major focus of health reform. However, there is limited evidence showing that increases in patient engagement are associated with improved health outcomes or lower costs. This report examined the extent to which a single assessment of engagement, the Patient Activation Measure, was associated with health outcomes and costs over time, and whether changes in assessed activation were related to expected changes in outcomes and costs. The report uses data on adult primary care patients from a single large health care system where the Patient Activation Measure is routinely used. Results indicating higher activation in 2010 were associated with nine out of thirteen better health outcomes -- including better clinical indicators, more healthy behaviors, and greater use of women's preventive screening tests -- as well as with lower costs two years later. Changes in activation level were associated with changes in over half of the health outcomes examined, as well as costs, in the expected directions. These findings suggest that efforts to increase patient activation may help achieve key goals of health reform and that further research is warranted to examine whether the observed associations are causal

Implicit cognition is impaired and dissociable in a head-injured group with executive deficits

Implicit or non-conscious cognition is traditionally assumed to be robust to pathology but Gomez-Beldarrain et al (1999, 2002) recently showed deficits on a single implicit task after head injury. Laboratory research suggests that implicit processes dissociate. This study therefore examined implicit cognition in 20 head-injured patients and age- and I.Q.-matched controls using a battery of four implicit cognition tasks: a Serial Reaction Time task (SRT), mere exposure effect task, automatic stereotype activation and hidden co-variation detection. Patients were assessed on an extensive neuropsychological battery, and MRI scanned. Inclusion criteria included impairment on at least one measure of executive function. The patient group was impaired relative to the control group on all the implicit cognition tasks except automatic stereotype activation. Effect size analyses using the control mean and standard deviation for reference showed further dissociations across patients and across implicit tasks. Patients impaired on implicit tasks had more cognitive deficits overall than those unimpaired, and a larger Dysexecutive Self/Other discrepancy (DEX) score suggesting greater behavioural problems. Performance on the SRT task correlated with a composite measure of executive function. Head-injury thus produced heterogeneous impairments in the implicit acquisition of new information. Implicit activation of existing knowledge structures appeared intact. Impairments in implicit cognition and executive function may interact to produce dysfunctional behaviour after head-injury. Future comparisons of implicit and explicit cognition should use several measures of each function, to ensure that they measure the latent variable of interest

Functional Brain Hyperactivations Are Linked to an Electrophysiological Measure of Slow Interhemispheric Transfer Time after Pediatric Moderate/Severe Traumatic Brain Injury.

Increased task-related blood oxygen level dependent (BOLD) activation is commonly observed in functional magnetic resonance imaging (fMRI) studies of moderate/severe traumatic brain injury (msTBI), but the functional relevance of these hyperactivations and how they are linked to more direct measures of neuronal function remain largely unknown. Here, we investigated how working memory load (WML)-dependent BOLD activation was related to an electrophysiological measure of interhemispheric transfer time (IHTT) in a sample of 18 msTBI patients and 26 demographically matched controls from the UCLA RAPBI (Recovery after Pediatric Brain Injury) study. In the context of highly similar fMRI task performance, a subgroup of TBI patients with slow IHTT had greater BOLD activation with higher WML than both healthy control children and a subgroup of msTBI patients with normal IHTT. Slower IHTT treated as a continuous variable was also associated with BOLD hyperactivation in the full TBI sample and in controls. Higher WML-dependent BOLD activation was related to better performance on a clinical cognitive performance index, an association that was more pronounced within the patient group with slow IHTT. Our previous work has shown that a subgroup of children with slow IHTT after pediatric msTBI has increased risk for poor white matter organization, long-term neurodegeneration, and poor cognitive outcome. BOLD hyperactivations after msTBI may reflect neuronal compensatory processes supporting higher-order capacity demanding cognitive functions in the context of inefficient neuronal transfer of information. The link between BOLD hyperactivations and slow IHTT adds to the multi-modal validation of this electrophysiological measure as a promising biomarker

Patient empowerment in Flemish hospital wards : a cross-sectional study

Objective: Measuring empowerment of patients on Flemish hospital wards by the short form of the Patient Activation Measure (PAM-13) and exploring the association between patient empowerment and patient-centred care, health literacy, patient- and context-related characteristics. Methods: Secondary analysis of data collected in nine regional hospitals and one university hospital in Flanders between February and June 2016. Patients needed to be admitted for a least 1 day, aged 18 years or over, and mentally competent with adequate ability to speak and read the Dutch language. Independent t-tests, one-way ANOVA and multivariable regression analysis were performed. Results: Mean empowerment was 58. Of the 670 patients, 22.7% tended to be unprepared to play an active role in their health care, 22.2% were struggling to manage own health, 39.4% reported to take action to maintain and improve own health, and 15.7% reported having confidence to perform adequate behaviours in most circumstances. Multivariable analysis showed that patients living together with family, a partner or a friend (p = 0.018), with higher health literacy (p < 0.001), and with higher perceptions of individuality in patients' care (p < 0.001) had higher empowerment scores. Conclusion: The multivariable analysis found three variables associated with patient empowerment and provided empirical evidence for the interrelatedness between patient-centred care and patient empowerment. Future research should use a clear framework to make sure that all relevant determinants of patient empowerment are included. Interventions to improve patient empowerment should incorporate patient characteristics and elements of both health literacy and patient-centred care

Harmony of transitions in assessing interpersonal motivations in transcripts analysis can discriminate between Adult Attachment Interview secure and disorganized individuals

SUMMARY. Aim. Assessing Interpersonal Motivations in Transcripts (AIMIT) is a validated coding system to assess the activation of interpersonal motivational systems (IMS) in the transcripts of psychotherapy sessions. The Transition Index (TI) is an AIMIT measure that reflects the levels of organisation, synchronisation and harmony amongst two or more IMS when they are rapidly shifting or simultaneously in the clinical dialogue. It is supposed to be a measure of integration and coherence of the patient’s state of mind within the psychotherapeutic sessions. It has also been hypothesized that low TI could be a marker for disorganization of attachment of the patient leading to difficulties in the therapeutic relationships and ruptures in the therapeutic alliance. In order to assess this hypothesis we tested its capability to discriminate between Adult Attachment Interview (AAI) organized and disorganized individuals. Methods. Two groups of 15 transcriptions of AAI matched for age and sex, one classified as free-autonomous and one as disorganized, were analysed by the AIMIT method. Results. Compared to organized individuals, disorganized patients at AAI reported lower TI scores (3.7±0.63 vs 3.0±0.53; F=2.98, p=0.005). Furthermore, TI showed a good discriminant capability (Wilks’ Lambda=0.77, p=0.004). Discussion and Conclusion. This result seems to confirm the usefulness and reliability of AIMIT analysis in evaluating the interpersonal difficulties which often characterize the therapeutic relationship with disorganized attachment patient

Enhancing mHealth Technology in the Patient-Centered Medical Home Environment to Activate Patients With Type 2 Diabetes: A Multisite Feasibility Study Protocol.

BackgroundThe potential of mHealth technologies in the care of patients with diabetes and other chronic conditions has captured the attention of clinicians and researchers. Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys. Each of these tools, used alone or in combination, have demonstrated varying degrees of effectiveness. Some of the more promising results have been demonstrated using regular collection of biometric devices, SMS text messaging, secure email communication with clinical teams, and regular reporting of quality-of-life variables. In this study, we seek to incorporate several of the most promising mHealth capabilities in a patient-centered medical home (PCMH) workflow.ObjectiveWe aim to address underlying technology needs and gaps related to the use of mHealth technology and the activation of patients living with type 2 diabetes. Stated differently, we enable supporting technologies while seeking to influence patient activation and self-care activities.MethodsThis is a multisite phased study, conducted within the US Military Health System, that includes a user-centered design phase and a PCMH-based feasibility trial. In phase 1, we will assess both patient and provider preferences regarding the enhancement of the enabling technology capabilities for type 2 diabetes chronic care management. Phase 2 research will be a single-blinded 12-month feasibility study that incorporates randomization principles. Phase 2 research will seek to improve patient activation and self-care activities through the use of the Mobile Health Care Environment with tailored behavioral messaging. The primary outcome measure is the Patient Activation Measure scores. Secondary outcome measures are Summary of Diabetes Self-care Activities Measure scores, clinical measures, comorbid conditions, health services resource consumption, and technology system usage statistics.ResultsWe have completed phase 1 data collection. Formal analysis of phase 1 data has not been completed. We have obtained institutional review board approval and began phase 1 research in late fall 2016.ConclusionsThe study hypotheses suggest that patients can, and will, improve their activation in chronic care management. Improved activation should translate into improved diabetes self-care. Expected benefits of this research to the scientific community and health care services include improved understanding of how to leverage mHealth technology to activate patients living with type 2 diabetes in self-management behaviors. The research will shed light on implementation strategies in integrating mHealth into the clinical workflow of the PCMH setting.Trial registrationClinicalTrials.gov NCT02949037. https://clinicaltrials.gov/ct2/show/NCT02949037. (Archived by WebCite at http://www.webcitation.org/6oRyDzqei)