Exploring patient activation in the clinic: measurement from three perspectives

Exploring discordance between Health Literacy Questionnaire scores of people with RMDs and assessment by treating health professionals

OBJECTIVES

We studied discordance between health literacy of people with rheumatic and musculoskeletal diseases (RMDs) and assessment of health literacy by their treating health professionals, and explored whether discordance is associated with the patients' socioeconomic background.

METHODS

Patients with RA, spondyloarthritis (SpA) or gout from three Dutch outpatient rheumatology clinics completed the nine-domain Health Literacy Questionnaire (HLQ). Treating health professionals assessed their patients on each HLQ domain. Discordance per domain was defined as a ≥2-point difference on a 0-10 scale (except if both scores were below three or above seven), leading to three categories: 'negative discordance' (i.e. professional scored lower), 'probably the same' or 'positive discordance' (i.e. professional scored higher). We used multivariable multilevel multinomial regression models with patients clustered by health professionals to test associations with socioeconomic factors (age, gender, education level, migration background, employment, disability for work, living alone).

RESULTS

We observed considerable discordance (21-40% of patients) across HLQ domains. Most discordance occurred for 'Critically appraising information' (40.5%, domain 5). Comparatively, positive discordance occurred more frequently. Negative discordance was more frequently and strongly associated with socioeconomic factors, specifically lower education level and non-Western migration background (for five HLQ domains). Associations between socioeconomic factors and positive discordance were less consistent.

CONCLUSION

Frequent discordance between patients' scores and professionals' estimations indicates there may be hidden challenges in communication and care, which differ between socioeconomic groups. Successfully addressing patients' health literacy needs cannot solely depend on health professionals' estimations but will require measurement and dialogue.

VIDEO ABSTRACT

A video abstract of this article can be found at https://www.youtube.com/watch?v=ggnB1rATdQ4.

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

BACKGROUND

The 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.

OBJECTIVE

We 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.

METHODS

This 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.

RESULTS

We 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.

CONCLUSIONS

The 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 REGISTRATION

ClinicalTrials.gov NCT02949037. https://clinicaltrials.gov/ct2/show/NCT02949037. (Archived by WebCite at http://www.webcitation.org/6oRyDzqei).

The association between patient activation and accessing online health information: results from a national survey of US adults

BACKGROUND

There are increasing opportunities for the public to access online health information, but attitudinal barriers to use are less well-known. Patient activation is associated with key health outcomes, but its relationship with using online health information is not known.

OBJECTIVE

We examined the relationship between patient activation and the likelihood of accessing a range of different types of online health information in a nationally representative US sample.

DESIGN

Cross-sectional nationally representative survey.

SETTING AND PARTICIPANTS

Data were from an online (n = 2700) and random digit dial telephone survey (n = 700) of US adults (total n = 3400).

MAIN VARIABLES STUDIED

Respondent characteristics and the Patient Activation Measure.

MAIN OUTCOME MEASURES

Self-reported access of five types of online health information in the past 12 months (online medical records, cost estimation tools, quality comparison tools, health information about a specific condition, preventive health information).

RESULTS

Approximately, one-fifth of the sample had accessed their medical record (21.6%), treatment cost estimation tools (17.3%) and hospital and physician quality comparison tools (21.8%). Nearly half of the sample had accessed information about medical conditions or treatments (48.3%) or preventive health and well-being (45.9%). In multivariable analyses adjusted for participant characteristics, respondents with greater patient activation were more likely to have accessed all types of health information other than cost estimation tools.

DISCUSSION AND CONCLUSIONS

Activated people are more likely to make use of online heath information. Increasing patient activation could improve the public's ability to participate in health care and personal health self-management by encouraging health information seeking.

The Patient Activation Measure: a validation study in a neurological population

PURPOSE

To assess the validity of the Patient Activation Measure (PAM13) of patient activation in persons with neurological conditions.

METHODS

"The Everyday Experience of Living with and Managing a Neurological Condition" (The LINC study) surveyed 948 adults with neurological conditions residing in Canada in 2011 and 2012. Using data for 722 respondents who met coding requirements for the PAM-13, we examined the properties of the measure using principle components analysis, inter-item correlations and Cronbach's alpha to assess unidimensionality and internal consistency. Rasch modeling was used to assess item performance and scaling. Construct validity was assessed by calculating associations between the PAM and known correlates.

RESULTS

PAM-13 provides a suitably reliable and valid instrument for research in patients with neurological conditions, but scaling problems may yield measurement error and biases for those with low levels of activation. This is of particular importance when used in clinical settings or for individual client care. Our study also suggests that measurement of activation may benefit from tailoring items and scaling to specific diagnostic groups such as people with neurological conditions, thus allowing the PAM-13 to recognize unique attributes and management challenges in those conditions.

CONCLUSIONS

The PAM-13 is an internally reliable and valid tool for research purposes. The use of categorical activation "level" in clinical settings should be done with caution.