Factors associated with patient activation in an Australian population with comorbid diabetes and chronic kidney disease: a cross-sectional study

Factors associated with patient activation among patients with diabetes on hemodialysis: a multicenter cross-sectional study from a developing country

BACKGROUND

Diabetes mellitus (DM) is a major public health concern with considerable morbidity and mortality. DM affects patients' quality of life and can lead to multiple complications, including chronic kidney disease (CKD) and the need for dialysis. Higher patient activation can improve health outcomes in hemodialysis patients with DM. This study aimed to explore the factors associated with higher patient activation and health-related quality of life (HRQoL) among hemodialysis patients with DM.

METHODS

This was a cross-sectional, questionnaire-based study conducted on hemodialysis patients with DM in Palestine. The quota sampling method was utilized to draw samples from six dialysis centers. The questionnaire consists of three sections. The first section includes demographic, socioeconomic and clinical questions. The second section utilizes the patient activation measure-13 (PAM-13) to measure patient activation, while the third section assesses HRQoL using the EQ-5D-5 L tool and the visual analog scale (VAS). Mann‒Whitney and Kruskal‒Wallis tests were employed to examine the relationships between variables at the bivariate level, and multiple regression analysis was employed at the multivariate level.

RESULTS

Of the 200 patients who were approached, 158 were included. The median PAM, EQ-5D index, and VAS score were low at 51.0, 0.58, and 60.0, respectively. A higher PAM score was independently associated with a higher household income level and taking medications independently. A higher EQ-5D index was associated with taking more than eight medications, taking medications independently, living with fewer than three comorbid conditions, and having a higher PAM. A higher VAS score was associated with being married, and receiving less than 3.5 hours of hemodialysis.

CONCLUSIONS

A higher patient activation level was associated with a higher income level and independence in taking medications. Interventions designed to improve patient activation, such as medication management programs, should address these factors among the target population. Longitudinal studies are needed to assess the time effect and direction of causation between health status and patient activation.

Supporting patient self-management: A cross-sectional and prospective cohort study investigating Patient Activation Measure (PAM) and Clinician Support for PAM scores as part of a multi-centre haemodialysis breakthrough series collaborative

BACKGROUND

Patient self-management, measured by the Patient Activation Measure (PAM), is associated with reduced healthcare utilisation and better health-related quality of life. Self-management in haemodialysis (HD) is challenging and may require support from clinicians with positive attitudes towards self-management, measured by the Clinician Support for PAM (CSPAM).

OBJECTIVES

To assess whether kidney staff CSPAM scores are: 1) associated with their centre's patient PAM scores and 2) modifiable through staff coaching.

METHODS

Baseline PAM and CSPAM and six-month CSPAM were collected from HD patients and kidney staff respectively in seven UK kidney centres as part of a six-month breakthrough series collaborative (BTSC), which trained kidney staff in supporting patient independence with HD tasks. Firstly, multivariable linear regression analyses adjusted for patient characteristics were used to test the baseline association between centre-level staff CSPAM scores and patient PAM scores. Secondly, paired univariate and unpaired multivariable linear regression analyses were conducted to compare staff CSPAM scores at baseline and six months.

RESULTS

236 PAM questionnaires (mean score = 55.5) and 89 CSPAM questionnaires (median score = 72.6) were analysed at baseline. There was no significant association between centre-level mean CSPAM scores and PAM scores in univariate analyses (P = 0.321). After adjusting for patient-level characteristics, increasing centre-level mean CSPAM score by 1 point resulted in a non-significant 0.3-point increase in PAM score (0.328 (95% CI: -0.157 to 0.812; P = 0.184). Paired (n = 37) and unpaired (n = 174) staff analyses showed a non-significant change in CSPAM scores following the BTSC intervention (mean change in CSPAM score in unpaired analysis = 1.339 (95% CI: -1.945 to 4.623; P = 0.422).

CONCLUSIONS

Lack of a significant: 1) association between CSPAM and PAM scores and 2) change in CSPAM scores suggest that modifying staff beliefs alone is less likely to influence patient self-management, requiring co-production between patients and staff.

Activation and disease control of patients on chronic hemodialysis: An observational study

BACKGROUND AND OBJECTIVE

Patient activation is a concept that refers to the willingness to manage one's health and medical care. To assess it, a patient activation measure (PAM) has been developed and validated. Several studies report low activation in patients with chronic diseases. However, information on activation in hemodialysis patients is scarce. The aim of the present study is to describe the activation level of patients on chronic treatment in an HD unit and its relationship with disease control parameters.

MATERIALS AND METHODS

Cross-sectional observational study in patients with advanced chronic kidney disease on chronic HD treatment. Ninety-six patients were included. Activation was measured with the PAM-13 questionnaire. Its relationship with descriptive variables (age, sex, comorbidity, studies, habitat) and disease control variables (vascular access, blood flow, potassaemia, phosphataemia, interdialytic gain) was studied. For this purpose, Spearman's correlation test, multiple linear regression model and logistic model were used as statistical methods.

RESULTS

The mean (SD) PAM-13 score was 63.19 (15.21). Activation was significantly associated with vascular access (P = 0.003), blood flow (P = 0.024), and interdialytic gain of patients (P = 0.008).

CONCLUSIONS

Activation in patients on chronic hemodialysis treatment is low. Higher activation is related having an arteriovenous fistula, higher blood flow and lower interdialytic gain. Future studies are needed to confirm and apply our results.

Patient activation in advanced chronic kidney disease: a cross-sectional study

BACKGROUND

Patient activation refers to the knowledge, confidence and skills required for the management of chronic disease and is antecedent to self-management. Greater self-management in chronic kidney disease (CKD) results in improved patient experience and patient outcomes.

AIM

To examine patient activation levels in people with CKD stage 5 pre-dialysis and determine associations with sociodemographic characteristics, treatment adherence and healthcare utilisation.

METHODS/DESIGN

People with CKD stage 5 not receiving dialysis from one Australian kidney care service. Patient activation was measured using the 13-item Patient Activation Measure (PAM-13). Sociodemographic and clinical outcome data (emergency department visits, admissions) were collected from medical records. Morisky Medication Adherence Scale was used to determine self-report medication adherence.

RESULTS

Two hundred and four participants completed the study. The mean PAM-13 score was 53.4 (SD 13.8), with 73% reporting low activation levels (1 and 2). Patient activation scores significantly decreased with increased age (P < 0.001) and significantly increased with higher educational levels (P < 0.001). Higher patient activation level was associated with fewer hospital emergency department visits (P = 0.03) and increased medication adherence (P < 0.001).

CONCLUSION

Patient activation levels are low in people with CKD stage 5 not receiving dialysis suggesting limited ability for self-management and capacity for optimally informed decisions about their healthcare. Efforts to improve patient activation need to consider age and education level.

Patient activation levels and socioeconomic factors among the Amazonas population with diabetes: a cross-sectional study

BACKGROUND

The presence of chronic conditions such as type 2 diabetes mellitus (T2DM) requires behavioral lifestyle changes mediated by individuals' motivation for change and adherence to treatment. This study aims to explore activation levels in individuals with T2DM treated in primary care facilities and to identify the association between demographic, clinical, psychosocial factors, and patient activation amongst populations in the Brazilian state of Amazonas.

METHODS

SAPPA is a cross-sectional study conducted in Amazonas, approved by the Universidade Federal do Amazona's IRB in Brazil. Individuals with T2DM were evaluated in their homes (n = 4,318,325). The variables were sex, age, skin color, education level; health-related variables such as body mass index, nutritional behavior, and frequency of physical activity. Measures related to patient self-management behaviors over the past 6 months (Patient Activation Measure - PAM-13) were included in the survey. Descriptive and frequency data are presented as mean (standard deviation (SD)) or numeric percentage). Statistical testing was performed using IBM SPSS V.26, and a p-value of < 0.050 showed significance. Activation levels were dichotomized into low activation (Levels 1 and 2) and high activation (Levels 3 and 4). A multivariate linear model assessed the association between the PAM-13 score and the following variables: age, sex, BMI, skin color, number of comorbidities, burden of symptoms, and number of medications.

RESULTS

Logistic regression analyses indicated a statistically significant association between sex, age, education, self-rated health, and general satisfaction with life. men were 43% more likely to score lower levels (p < 0.001). The results also indicated that advanced age had lower PAM levels (p < 0.001). Participants with fewer years of education were 44% more likely to have lower levels of PAM (p = 0.03). Worse self-rated health (p < 0.001) and lower general life satisfaction (p = 0.014) were associated with lower PAM levels.

CONCLUSIONS

Low patient activation was associated with worse sociodemographic, health, and psychological conditions in the Amazon population. The low level of patient activation observed in this sample highlights an important impediment to diabetes disease management/self-management in disadvantaged populations.

A codesigned integrated kidney and diabetes model of care improves patient activation among patients from culturally and linguistically diverse backgrounds

BACKGROUND

Little is known about the relationship between patients' cultural and linguistic backgrounds and patient activation, especially in people with diabetes and chronic kidney disease (CKD). We examined the association between culturally and linguistically diverse (CALD) background and patient activation and evaluated the impact of a codesigned integrated kidney and diabetes model of care on patient activation by CALD status in people with diabetes and CKD.

METHODS

This longitudinal study recruited adults with diabetes and CKD (Stage 3a or worse) who attended a new diabetes and kidney disease service at a tertiary hospital. All completed the patient activation measure at baseline and after 12 months and had demographic and clinical data collected. Patients from CALD backgrounds included individuals who spoke a language other than English at home, while those from non-CALD backgrounds spoke English only as their primary language. Paired t-tests compared baseline and 12-month patient activation scores by CALD status.

RESULTS

Patients from CALD backgrounds had lower activation scores (52.1 ± 17.6) compared to those from non-CALD backgrounds (58.5 ± 14.6) at baseline. Within-group comparisons showed that patient activation scores for patients from CALD backgrounds significantly improved by 7 points from baseline to 12 months follow-up (52.1 ± 17.6-59.4 ± 14.7), and no significant change was observed for those from non-CALD backgrounds (58.5 ± 14.6-58.8 ± 13.6).

CONCLUSIONS

Among patients with diabetes and CKD, those from CALD backgrounds report worse activation scores. Interventions that support people from CALD backgrounds with comorbid diabetes and CKD, such as the integrated kidney and diabetes model of care, may address racial and ethnic disparities that exist in patient activation and thus improve clinical outcomes.

PATIENT OR PUBLIC CONTRIBUTION

Patients, caregivers and national consumer advocacy organisations (Diabetes Australia and Kidney Health Australia) codesigned a new model of care in partnership with healthcare professionals and researchers. The development of the model of care was informed by focus groups of patients and healthcare professionals and semi-structured interviews of caregivers and healthcare professionals. Patients and caregivers also provided a rigorous evaluation of the new model of care, highlighting its strengths and weaknesses.

Mental well-being and patient activation during the first eight months of the COVID-19 pandemic in Denmark - a cohort study among 710 Danish adults with chronic conditions

BACKGROUND

COVID-19 has highlighted the importance of patient activation in managing chronic conditions and promoting resilience during times of crisis. Patient activation refers to an individual's knowledge, skills, and confidence in managing their own health and healthcare. Previous research has shown that people with higher levels of patient activation are better prepared to navigate the challenges of chronic illness and are more likely to engage in healthy behaviors. However, the impact of patient activation on COVID-19-related concerns and mental well-being among people with chronic conditions during the pandemic remains unclear. This study aims to investigate the possible role of patient activation in shaping COVID-19-related concerns and to describe changes in mental well-being among Danish adults with one or more chronic conditions during the early months of the pandemic.

METHODS

Danish adults with chronic conditions (e.g. diabetes, coronary heart disease, obstructive pulmonary lung disease, cancer) who had participated in a municipal health education program prior to the COVID-19 outbreak were asked to participate in this prospective questionnaire study in May 2020 and November 2020. Sociodemographic (sex, age, living status, educational attainment, employment status) and disease-related information (diagnosis, one or more chronic conditions) along with the Patient Activation Measure were collected before the outbreak and were obtained from a clinical database used for monitoring and evaluation of municipal health education programs. In contrast, the two questionnaires collected six months apart consisted of single items related to concerns about COVID-19 and the WHO-5 well-being index.

RESULTS

A total of 710 people with chronic conditions (mean age 60.9 years; 55.8% female) participated at both time points. In bivariate analyses, patient activation was associated with COVID-19-related concern and well-being. At follow-up, participants experienced a significant decrease in well-being. The decrease was associated with poorer well-being measured six months earlier, a greater perception that it had become more challenging to take care of one's health due to the pandemic, and finally, feeling lonely. The association between patient activation and well-being ceased to be significant in the multivariate regression model.

CONCLUSIONS

A considerable proportion of people with chronic conditions participating in this study have been mentally burdened during COVID-19. Although lower levels of patient activation were associated with greater COVID-19-related concerns, it did not have a significant impact on mental well-being over time.

Multimorbidity and adverse longitudinal outcomes among patients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia

Background

Multimorbidity is becoming more prevalent in low-and middle-income countries (LMICs). However, the evidence base on the burden and its longitudinal outcomes are limited. This study aimed to determine the longitudinal outcomes of patients with multimorbidity among a sample of individuals attending chronic outpatient non communicable diseases (NCDs) care in Bahir Dar, northwest Ethiopia.

Methods

A facility-based longitudinal study was conducted among 1,123 participants aged 40+ attending care for single NCD (n = 491) or multimorbidity (n = 633). Data were collected both at baseline and after 1 year through standardized interviews and record reviews. Data were analyzed using Stata V.16. Descriptive statistics and longitudinal panel data analyzes were run to describe independent variables and identify factors predicting outcomes. Statistical significance was considered at p-value <0.05.

Results

The magnitude of multimorbidity has increased from 54.8% at baseline to 56.8% at 1 year. Four percent (n = 44) of patients were diagnosed with one or more NCDs and those having multimorbidity at baseline were more likely than those without multimorbidity to develop new NCDs. In addition, 106 (9.4%) and 22 (2%) individuals, respectively were hospitalized and died during the follow up period. In this study, about one-third of the participants had higher quality of life (QoL), and those having higher high activation status were more likely to be in the higher versus the combined moderate and lower QoL [AOR1 = 2.35, 95%CI: (1.93, 2.87)] and in the combined higher and moderate versus lower level of QoL [AOR2 = 1.53, 95%CI: (1.25, 1.88)].

Conclusion

Developing new NCDs is a frequent occurrence and the prevalence of multimorbidity is high. Living with multimorbidity was associated with poor progress, hospitalization and mortality. Patients having a higher activation level were more likely than those with low activation to have better QoL. If health systems are to meet the needs of the people with chronic conditions and multimorbidity, it is essential to understand diseases trajectories and of impact of multimorbidity on QoL, and determinants and individual capacities, and to increase their activation levels for better health improve outcomes through education and activation.

Factors Related to Quality of Life of Hemodialysis Patients during the COVID-19 Pandemic

Taiwan had the second highest number globally of end-stage renal disease patients undergoing treatment in 2018. A meta-analysis of Chen et al. (2021) showed the incidence and mortality rates of COVID-19 were 7.7% and 22.4%, respectively. Few studies have explored the effects of patients' self-participation and perceptions of hemodialysis on their quality of life. This study aimed to explore the factors related to hemodialysis patients' quality of life during the COVID-19 pandemic. This study was a descriptive correlational study. Patients were recruited (n = 298) from the hemodialysis unit of a medical center in northern Taiwan. Variables included patients' sociodemographic, psychological, spiritual, and clinical characteristics (i.e., perceived health level, comorbidities, hemodialysis duration, weekly frequency, transportation, and accompaniment during hemodialysis), perceptions of hemodialysis, self-participation in hemodialysis, and health-related quality of life (KDQOL-36 scale). Data were analyzed using descriptive and bivariate and multivariate linear regression. Multivariate linear regression, after adjusting for covariates, showed that anxiety, self-perceived health status, two vs. four comorbidities, and self-participation in hemodialysis were significantly associated with quality of life. The overall model was significant and accounted for 52.2% (R² = 0.522) of the variance in quality of life during hemodialysis (adjusted R² = 0.480). In conclusion, the quality of life of hemodialysis patients with mild, moderate, or severe anxiety was poorer, whereas that of patients with fewer comorbidities, higher self-perceived health status, and higher self-participation in hemodialysis was better.

A survey study of adults with chronic conditions: Examining the correlation between patient activation and health locus of control

OBJECTIVES

This study aimed to examine (1) the association between patient activation (PA), health locus of control (HLOC), sociodemographic and clinical factors, and (2) the effect of HLOC dimensions, sociodemographic and clinical factors on PA.

METHODS

Three hundred U.S. adults, with at least one chronic condition (CC) were recruited through Amazon Mechanical Turk and completed an online survey which included sociodemographic questions, the Patient Activation Measure^® - 10, and the Multidimensional Locus of Control (MHLC) - Form B. Statistical analyses, including descriptive, correlation, and multiple linear regression, were conducted using IBM SPSS v25.

RESULTS

Of the 300 participants, more than half were male (66.3%), White (70.7%), with at least a college degree (76.0%), and employed full-time (79.0%). The average PA score was 68.8 ± 14.5. Multiple linear regression indicated that participants who reported they were Black, retired, with a greater number of CCs, and with higher scores in Chance MHLC had higher PA, while participants with higher scores in Internal MHLC, were unemployed and reported to have been affected by COVID-19-related worry or fear to manage their CC, had lower PA.

DISCUSSION

HLOC dimensions should be addressed concurrently with PA for patients with CCs, thus adding to a more patient-centered clinical approach.

The Patient Activation Measure (PAM) and the pandemic: Predictors of patient activation among Australian health consumers during the COVID-19 pandemic

BACKGROUND

Preventative healthcare is crucial for improving individual patient outcomes and is integral to sustainable health systems. The effectiveness of prevention programs is enhanced by activated populations who are capable of managing their own health and are proactive to keep themselves well. However, little is known about the level of activation among people drawn from general populations. We used the Patient Activation Measure (PAM) to address this knowledge gap.

METHODS

A representative, population-based survey of Australian adults was conducted in October 2021 during the Delta strain outbreak of the COVID-19 pandemic. Comprehensive demographic information was collected, and the participants completed the Kessler-6 psychological distress scale (K6) and PAM. Multinomial and binomial logistic regression analyses were performed to determine the effect of demographic factors on PAM scores, which are categorised into four levels: 1-participants disengaged with their health; 2-becoming aware of how to manage their health; 3-acting on their health; and 4-engaging with preventative healthcare and advocating for themselves.

RESULTS

Of 5100 participants, 7.8% scored at PAM level 1; 13.7% level 2, 45.3% level 3, and 33.2% level 4. The mean score was 66.1, corresponding to PAM level 3. More than half of the participants (59.2%) reported having one or more chronic conditions. Respondents aged 18 to 24 years old were twice as likely to score PAM level 1 compared with people aged 25-44 (p < .001) or people aged over 65 years (p < .05). Speaking a language other than English at home was significantly associated with having low PAM (p < .05). Greater psychological distress scores (K6) were significantly predictive of low PAM scores (p < .001).

CONCLUSION

Overall, Australian adults showed high levels of patient activation in 2021. People with lower incomes, of younger age, and those experiencing psychological distress were more likely to have low activation. Understanding the level of activation enables targeting sociodemographic groups for extra support to increase the capacity to engage in prevention activities. Conducted during the COVID-19 pandemic, our study provides a baseline for comparison as we move out of the pandemic and associated restrictions and lockdowns.

PATIENT OR PUBLIC CONTRIBUTION

The study and survey questions were co-designed with consumer researchers from the Consumers Health Forum of Australia (CHF) as equal partners. Researchers from CHF were involved in the analysis of data and production of all publications using data from the consumer sentiment survey.

Relationships among social support, self-efficacy, and patient activation in community-dwelling older adults living with coronary heart disease: A cross-sectional study

OBJECTIVES

To explore whether social support indirectly influences patient activation through self-efficacy in older adults living with coronary heart disease.

METHODS

A cross-sectional study was conducted. Older patients (n=451) from four communities in the city of Qingdao completed a questionnaire survey. We conducted multiple linear regression models and bootstrap testing to assess the relationships among social support, self-efficacy, and patient activation.

RESULTS

Patient activation was positively correlated with social support (r = 0.524, P < 0.01) and with self-efficacy (r = 0.740, P < 0.01). The of social support had indirect positive effect on patient activation through self-efficacy and the effect was 58.8%.

CONCLUSIONS

We identified the critical role of social support and self-efficacy for the activation of community-dwelling older patients living with coronary heart disease. Our findings provide essential knowledge for developing and evaluating effective interventions to promote patient activation and enhance self-management of coronary heart disease.

Relationship between patient activation and self-efficacy among patients undergoing hemodialysis: a cross-sectional study

Background

Patient activation in chronic kidney disease (CKD) is increasingly being prioritized and considered a quality metric in CKD. Given the importance of patients’ activation in improving the quality of chronic disease care, this study aimed to assess patients’ activation levels and its relationship with self-efficacy among patients undergoing hemodialysis.

Methods

In this cross-sectional study, a total of 180 patients undergoing maintenance hemodialysis were selected by random sampling from the largest hemodialysis center (dialysis center of Emam Reza hospital, Tabriz) in Iran. Data were collected by demographics, patient activation measure, and chronic kidney disease self-efficacy (CKD-SE) scale from March to May 2021. Collected data were analyzed using SPSS software (ver. 26) using ANOVA, t-test, Pearson correlation coefficient, and multiple regression tests.

Results

The majority of the participants (35%) were at level 1 of activation and only 28.9% of the individuals were at level 4. According to the results, the mean score of self-efficacy in patients undergoing hemodialysis (in a possible range of 0–10) was 5.50 ± 1.45. Multiple regression analysis showed that factors including self-efficacy, educational level, and marital status were significant predictors of change in patient activation (R2 = 0.85, adjusted R2 = 0.66, p < 0.001). The results showed that self-efficacy was the main predictor of patient activation (β = 0.49, p < 0.001).

Conclusion

According to the result, improving the patients' self-efficacy could improve the patient's activation. Moreover, patients with lower educational level reported the lower activation score; therefore, health care providers should improve the knowledge of patients with lower educational level, encourage them to be more active in their health care, and help them in providing more tailored strategies to improve the quality of care more efficiently. Furthermore, Measuring patients' activation level at admission to the dialysis unit is recommended for all patients undergoing hemodialysis.

Patient activation for self‐management among adult patients with multimorbidity in primary healthcare settings

Background and Aims

Methods

Results

Conclusion

Factors Related to Activation in Chinese Patients With Chronic Obstructive Pulmonary Disease: A Cross-Sectional Survey Study

BACKGROUND

Improving patient activation can lead to better health outcomes among patients with chronic obstructive pulmonary disease (COPD). However, no studies have focused on the issue of activation in patients with COPD in China.

PURPOSE

This study was designed to explore the status of activation in patients with COPD in China and explicate the significant influencing factors.

METHODS

One hundred seventy patients with COPD were recruited using a convenience sampling method from eight tertiary and secondary hospitals in Nanjing, China. Sociodemographic, clinical, and patient-reported factor data were collected. Univariate analysis and multivariate linear regression were performed.

RESULTS

Only 10.6% of the patients were identified as activated for self-management. Multivariate linear regression analysis revealed four explanatory elements as significantly associated with patient activation, including social support (β = .463, p < .001), free medical insurance (β = .173, p = .007), smoking status (β = -.195, p = .002), and health status (β = -.139, p = .04).

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

The findings of this study indicate that a minority of patients with COPD are activated for self-management in China. Having a higher level of patient activation was associated with having better social support, having free medical insurance, being a nonsmoker, and having a better health status. Creating a supportive environment, promoting smoking cessation, and improving medical security and health status may be considered as potential strategies to activate patients into better self-management.

Changes in patient activation in people starting dialysis: A prospective longitudinal, observational study

Introduction

Increased patient activation is associated with improved health outcomes; however, little is known about patient activation in people with end‐stage kidney disease at the start of their dialysis journey. This study aimed to measure activation status changes over the first 4 months of dialysis.

Methods

Prospective, longitudinal, and observational study. Incident patients initiating dialysis at 25 in‐center hemodialysis and 17 home dialysis programs across three US states managed by the same dialysis provider completed the 13‐item Patient Activation Measure (PAM‐13) survey at baseline (month 1 after commencement of dialysis) and follow‐up (month 4). The survey yields a score (0–100) that corresponds to four levels (1–4), with higher scores or levels indicating higher activation.

Findings

One hundred eighty‐two participants (139 center, 43 home) completed both baseline and follow‐up surveys. Mean age was 60 ± 15 years, 40% female. Mean PAM‐13 scores were 65.1 ± 16.8 and 64.8 ± 17.8 at baseline and follow‐up, respectively; mean intraindividual change: −0.3 ± 17.3. The proportions of patients at levels 1–4 at baseline were 11%, 23%, 35%, and 31% respectively. At follow‐up, 50%, 64%, 52%, and 37% of participants at levels 1–4, respectively, changed to a different PAM level (Spearman correlation = 0.47; p < 0.001). Home dialysis was associated with higher PAM scores when compared to in‐center hemodialysis in multivariable analyses, adjusted for sociodemographic variables, comorbidities, and predialysis nephrology care (β = 5.74, 95% confidence intervals [CI]: 0.11–11.37 and 9.02, 95% CI: 3.03–15.02, at baseline and follow–up, respectively).

Discussion

Although aggregated group scores and levels remained stable, intra‐individual patient activation changed significantly during the first 4 months of dialysis. This novel finding is foundational to future projects aiming to design interventions to improve patient activation.

Change is possible: How increased patient activation is associated with favorable changes in well-being, self-management and health outcomes among people with type 2 diabetes mellitus: A prospective longitudinal study

OBJECTIVE

To examine the relationship between risk factors for low patient activation and change in patient activation, well-being, and health outcomes in people with type 2 diabetes mellitus (T2DM).

METHOD

A longitudinal prospective study was conducted with measurements at baseline and 20-week follow-up among 603 people with T2DM participating in a group-based walking intervention. Patient activation and risk factors were assessed using online questionnaires. Health outcomes were assessed in participants' general practices.

RESULTS

No association was found between risk factors for activation and change in patient activation. Patient activation significantly increased (t(602) = 2.53, p = 0.012) and was associated with an increase in emotional well-being (β = 0.22), exercise behavior (β = 0.17), general diet behavior (β = 0.20), and a reduction in BMI (β = -0.28), weight (β = -0.29), and HbA1c (β = -0.27).

CONCLUSION

Favorable changes in patient activation, self-management, well-being, and health outcomes occurred during a walking intervention, despite highly prevalent risk factors for low activation and less engagement in self-management.

PRACTICE IMPLICATIONS

Group-based walking interventions might empower people with T2DM to begin taking a larger role in their self-care and improve (mental) health outcomes. Vulnerable groups of patients (with multiple risk factors for low activation) can change and presumably need this kind of interventions to be able to change.

Profiles of Health-Related Patient Activation and Their Determinants: The Results of a Cluster Analysis of Older Adults-Conclusions for Patient Counselling

Health-related proactivity in older adults may significantly increase medication handling, adherence and patient safety. Deficiencies in training in critical characteristics and diversity of older patients may lead to medical errors in diagnosis and drug administration. This study investigated the profiles of health proactivity in older adults and the factors differentiating them, like sociodemographic factors, health status, visit characteristics, and patients’ visit-related expectations, actual experiences, and satisfaction with the visit. Before and after visits, 3391 patients aged 65–95 filled in two sets of questionnaires, that allowed to measure aforementioned factors. Three distinct proactivity profiles emerged from a cluster analysis: high (43%), medium (25%), and low proactivity (32%). Highly proactive patients had the highest expectations, but their visits provided better opportunities to meet them than in other groups. Higher proactivity was related to a longer attendance time, frequent contact with and easier access to the doctor, or a longer time spent with a patient. The findings highlight the need to detect and respond to patients’ expectations regarding psychosocial aspects of care, as well as to improve organizational aspects of care, in order to enhance health proactivity in older adults. The resulting good practice recommendations may significantly improve healthcare workers’ effectiveness in both primary and secondary care.

Patient activation and its association with symptom burden and quality of life across the spectrum of chronic kidney disease stages in England

Background

The knowledge, skills, and confidence to manage one’s own health is termed patient activation and can be assessed using the Patient Activation Measure (PAM). This measure is increasingly recommended for use in chronic kidney disease (CKD), but there is a need to better understand patient activation within this population. This work aimed to explore the association of PAM with patient-reported outcomes, namely symptom burden and health-related quality of life (HRQoL), to understand the relationship between patient activation and outcomes which are of importance to people with CKD.

Methods

Non-dialysis, dialysis, and kidney transplant patients from 14 renal units across England completed a survey comprising questionnaires assessing patient activation, symptom burden, and HRQoL.

Latent class analysis (LCA) was used to determine HRQoL and symptom burden subgroups in the data. Multinomial logistic regression analyses were performed to investigate the associations between patient activation and symptom burden and HRQoL classes separately, adjusting for age, gender, ethnicity, deprivation and treatment modality.

Results

Three thousand thirteen participants (mean age 61.5 years, 61.8% males, and 47% haemodialysis) were included in the analysis. Patient activation was strongly associated with both the HRQoL and symptom burden classes identified, with highly activated patients more likely to report higher HRQoL (P = < 0.0001; OR 29.2, 95% CI 19.5–43.9) and fewer symptoms (P = < 0.0001; OR 25.9, 95% CI 16.8–40.2).

Conclusion

Lower activation levels are associated with a higher symptom burden and reduced HRQoL across the trajectory of CKD stages and treatment modalities. Therefore, targeted and holistic self-management support focussing on improving activation may have the potential to improve aspects of health experience which are valued by individuals living with kidney disease.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-022-02679-w.

Patient Activation Among Prevalent Hemodialysis Patients: An Observational Cross-Sectional Study

Patient activation is the product of knowledge, skills, and confidence that enables a person to manage their own healthcare. It is associated with healthy behaviors and improved patient outcomes. We surveyed prevalent hemodialysis (HD) patients at 10 centers using the Patient Activation Measure 13-item instrument (PAM-13). Activation was reported as scores (0-100) and corresponding levels (1-4). Of 1149 eligible patients, surveys were completed by 925 patients (92% response rate). Mean age was 62 ± 14 years, 40% were female, median vintage was 41 (IQR 19-77) months, and 66% had diabetes. Mean PAM score was 56 ± 13, with 14%, 50%, 25%, and 10% in levels 1 to 4, respectively. In adjusted analysis, older age and having diabetes were associated with lower activation, whereas higher educational levels and female gender were associated with higher scores. Significant variation in activation was observed among participants from different centers even after adjustment for other variables. In conclusion, low activation is common among prevalent HD patients.

Fatores associados à ativação de pacientes em hemodiálise

Objetivo: mensurar a ativação de pacientes em hemodiálise e determinar os fatores associados à ativação dessa população. Materiais e método: estudo exploratório, de caráter descritivo e corte transversal com 162 pacientes em tratamento hemodialítico no interior de Minas Gerais, Brasil. Os dados foram coletados de janeiro a abril de 2019, com instrumentos para avaliação sociodemográfica, socioeconômica e clínica e da escala Patient Activation Measure de 13 itens. A análise de dados foi realizada por estatística descritiva e regressão de Poisson com variância robusta. Resultados: a medida de ativação dos pacientes em hemodiálise variou de 39,4 a 90,7 pontos, em que a média é 60,85 + 15,57 pontos e a mediana 53,2 (IC: 58,4-63,3) pontos. Dos participantes, 52,5 % (n = 85) apresentavam baixa ativação, sendo que o menor quantitativo de pessoas (18,5 %, n = 30) se encontrava no nível 3. Foi associado à maior prevalência de alta ativação o fato de apresentar o nível superior de ensino e não necessitar de cuidador. Conclusões: embora as variáveis associadas à alta ativação não sejam modificadas pelos profissionais de saúde, conhecê-las permite inferir qual o perfil de pacientes em hemodiálise que necessitam de intervenções direcionadas ao aumento dos níveis de ativação.

Factors associated with patient activation in a socially deprived population: Evidence from Germany

OBJECTIVE

Patient activation has been identified as a crucial determinant of health, but little is known about its own determinants, particularly in low socioeconomic status populations. To address this research gap, we analyzed factors that might explain variation in patient activation in such a population.

METHODS

We conducted a cross-sectional patient survey (n = 582) in a low socioeconomic status urban district in Germany in 2017. Using multivariate linear regressions, we examined the association between patient activation and a range of psychological, sociodemographic, and health-related factors. To assess the relative importance of these factors, we used dominance analysis.

RESULTS

Our results suggest that age, employment status, linguistic acculturation, health status, and self-efficacy were significantly associated with patient activation. Dominance analysis indicated that self-efficacy was the most important factor explaining variation in patient activation.

CONCLUSIONS

Age, employment status, linguistic acculturation, health status, and self-efficacy are important determinants of patient activation.

PRACTICE IMPLICATIONS

Our results can inform decision makers about approaches for more targeted and effective interventions to improve patient activation in low socioeconomic status populations. Much might be gained by investing in interventions that focus on age, employment status, linguistic acculturation, and health status. Interventions that improve self-efficacy may represent a particularly promising approach.

Integrating Patient Activation Into Dialysis Care

Patient activation, the measure of patients' readiness and willingness to manage their own health care, is low among people receiving in-center hemodialysis, which is exacerbated because such centers are commonly set up for patients to passively receive care. In our pursuit of person-centered care and value-based medicine, enabling patients to take a more active role in their care can lead to healthy behaviors, with subsequent reductions in individual burden and costs to the health care system. To improve patient activation, we need to embrace a patient-first approach and combine it with ways to equip patients to thrive with self-management. This requires changes in the training of the health care team as well as changes in care delivery models, promoting interventions such as health coaching and peer mentoring, while leveraging technology to enable self-access to records, self-monitoring, and communication with providers. We also need health care policies that encourage a focus on patient-identified goals, including more attention to patient-reported outcomes. In this article, we review the current status of patient activation in dialysis patients, outline some of the available interventions, and propose steps to change the dynamics of the current system to move toward a more active role for patients in their care.

Patient participation during primary health-care encounters among adult patients with multimorbidity: A cross-sectional study

Background

Patient participation is essential for achieving high‐quality care and positive outcomes, especially among patients with multimorbidity, which is a major challenge for health care due to high prevalence, care complexity and impact on patients' lives.

Objective

To explore the patient participation related to their own care among patients with multimorbidity in primary health‐care settings.

Methods

A cross‐sectional survey was conducted among adult multimorbid patients who visited primary health‐care facilities. The key instrument used was the Participation in Rehabilitation Questionnaire. Data representing 125 patients were analysed using various statistical methods.

Results

The respondents generally felt patient participation to be important, yet provided highly varying accounts regarding the extent to which it was realized by professionals. Information and knowledge and Respect and encouragement were considered the most important and best implemented subcategories of participation. Several patient‐related factors had a statistically significant effect on patient perceptions of participation for all subcategories and as explanatory factors for perceptions of total participation in univariate models. Most patients reported active participation in health‐care communication, positively associated with patient activation and adherence. Gender, perceived health, patient activation and active participation were explanatory factors for total importance of participation in multivariate models, while patient activation was retained for realization of participation.

Conclusions

Multimorbid patients require individualized care that promotes participation and active communication; this approach may further improve patient activation and adherence. Poor perceived health and functional ability seemed to be related to worse perceptions of participation.

Patient and public involvement

The study topic importance was based on the patients' experiences in author's previous research and the need to develop patient‐centred care.

Determinants of patient activation and its association with cardiovascular disease risk in chronic kidney disease: A cross-sectional study

Background

Patient activation describes the knowledge, skills and confidence in managing one's own health. Promoting patient activation is being prioritized to reduce costs and adverse outcomes such as cardiovascular disease (CVD). The increasing prevalence of chronic kidney disease (CKD) presents a need to understand the characteristics that influence patient activation and the effect on health outcomes.

Design

Cross‐sectional study.

Setting and participants

Patients with non‐dialysis CKD recruited from 14 sites (general nephrology and primary care) in England, UK.

Outcome measures

Patient activation was measured using the PAM‐13. Demographic and health‐related variables, self‐reported symptom burden, health‐related quality of life (HRQOL), socioeconomic status (SES), were assessed as determinants of patient activation. Major CVD risk factors included hypertension, dyslipidaemia, obesity and hyperkalaemia.

Results

743 patients were included (eGFR: 32.3 (_SD17.1) mL/min/1.73 m², age 67.8 (_SD13.9) years, 68% male). The mean PAM score was 55.1 (_SD14.4)/100. Most patients (60%) had low activation. Those with low activation were older (P<.001), had lower eGFR (P = .004), greater number of comorbidities (P = .026) and lower haemoglobin (P = .025). Patients with low activation had a 17% greater number of CVD risk factors (P < .001). Risk factors in those with low activation were being older (P < .001) and having diabetes (P < .001).

Conclusion

This study showed that only a minority of CKD patients are activated for self‐management. Our findings help better understand the level of activation in these patients, particularly older individuals with multimorbidity, and further the knowledge regarding the characteristics that influence activation.

Patient or Public Contribution

Patients were involved in the design of main study.

Ativação do paciente com diagnóstico de doença renal crônica: uma revisão integrativa

Objetivo: Estabelecer a medida de ativação de pacientes com doença renal crônica e seus fatores associados. Metodologia: Revisão integrativa de literatura realizada nas seguintes bases de dados: Pubmed, Lilacs, Scielo, Scopus, Science Direct e Insignia Health. Foram utilizados os descritores: Patient Activation, Nephrology, Kidney e Renal Insufficiency, Chronic e seus correspondentes em português e espanhol e os operadores booleanos AND e OR. Não foi utilizado filtro de data para as buscas. Nove manuscritos compuseram a amostra final desta revisão. Resultados: A média do escore de ativação variou entre 51±10 e 65,02±16 pontos, com o predomínio de pessoas com alta ativação (níveis 3 e 4). A ativação do paciente foi associada a múltiplas variáveis, entre elas a idade, condição socioeconômica, escolaridade e carga de sintomas. Conclusões: Conhecer o nível de ativação dos pacientes e os fatores associados a ele direciona a atuação do profissional de saúde para obtenção e/ou manutenção da alta ativação.

Patient Activation and its Predictors in Hospitalized Older Adults in Singapore

BACKGROUND

Patient activation is critical in hospitalized older adults preparing for discharge as it enhances their ability to self-care at home. Little is known about how person-centred care and demographic predictors could influence activation in Asian patients.

AIMS

To explore patient activation and its predictors in hospitalized older adults in Singapore.

METHODS

Multi-centre cross-sectional survey of hospitalized older adults. Multivariable analysis conducted with age, gender, education, socioeconomic status, functional dependency and perception of person-centred care as potential predictors to patient activation.

RESULTS

300 older adults were surveyed, 65% were at the top two levels of activation. Perception of person-centred nursing care was the strongest predictor with the largest effect on patient activation, (β=0.22, b=3.48, 95% CI:1.70-5.26, p<0.001). Other predictors were age, education, income and independence in care.

CONCLUSION

Our study highlights the importance of person-centred nursing care in raising patient activation in hospitalized older adults, enhancing their capacity to self-care.

Nível de ativação e qualidade de vida relacionada à saúde de pessoas em hemodiálise

Resumo Objetivo associar o nível de ativação com a qualidade de vida relacionada à saúde de pessoas que realizam o tratamento hemodialítico. Método estudo quantitativo, transversal e correlacional com 162 pessoas em tratamento hemodialítico. Os dados foram coletados por meio da aplicação de questionários para a caracterização sociodemográfica, socioeconômica e clínica do Kidney Disease Quality of Life Short Form e da escala Patient Activation Measure. Os dados secundários foram coletados por meio do prontuário médico. Para a análise dos dados, utilizaram-se a estatística descritiva e a regressão logística. Resultados a ativação do paciente em hemodiálise associou-se positivamente com os domínios sintomas, funcionamento físico, saúde geral, bem-estar emocional, energia/fadiga e o componente mental da qualidade de vida relacionada à saúde. Conclusão e implicação para a prática como a ativação apresenta relação com a qualidade de vida relacionada à saúde, na prática assistencial, essa métrica deve ser considerada ao implementar medidas que visem a aumentar a qualidade de vida relacionada à saúde das pessoas em hemodiálise.

A conceptual framework of quality of life in chronic kidney disease in Turkey: A patient-focused approach

This study aimed to determine the quality of life of patients with chronic kidney disease who were receiving dialysis treatment. It also aimed to identify the factors affecting the quality of life of these patients. The independent variables analyzed were: patients' sociodemographic characteristics, organizational characteristics, adherence to treatment, patient-physician relationship, and patient activation level. The sample consisted of 328 patients with chronic kidney disease who received services from dialysis units of two university hospitals and two private dialysis centers. Data analysis was performed through multivariate regression. Results showed that receiving treatment from a hospital-based dialysis unit may have a positive effect in patients' quality of life; and patient-physician relationship, patient activity, and adherence to treatment may positively affect quality of life. Thus, planning of health service delivery that focus on improving the quality of life of patients who are more active by allowing them to establish positive relationships with their physicians and to have a better adherence to treatment should be adopted. These findings may provide health managers, health professionals, and individual patients with evidence-based information about treatment management and health service planning processes related to chronic kidney disease.

Measuring Patient Activation as Part of Kidney Disease Policy: Are We There Yet?

Optimal care occurs when patients possess the skills, knowledge, and confidence needed to effectively manage their health. Promoting such patient activation in kidney disease care is increasingly being prioritized, and patient activation has recently emerged as central to kidney disease legislative policy in the United States. Two options of the Centers for Medicare and Medicaid Services Kidney Care Choices model-the Kidney Care First option and the Comprehensive Kidney Care Contracting option-now include patient activation as a quality metric; both models specifically name the patient activation measure (PAM) as the patient-reported outcome to use when assessing activation in kidney disease. Because nephrology practices participating in these models will receive capitated payments according to changes in patients' PAM scores, it is time to more critically evaluate this measure as it applies to patients with kidney disease. In this review, we raise important issues related to the PAM's applicability to kidney health, review and summarize existing literature that applies this measure to patients with kidney disease, and outline key elements to consider when implementing the PAM into practice and policy. Our aim is to spur further dialogue regarding how to assess and address patient activation in kidney disease to facilitate best practices for supporting patients in the successful management of their kidney health.

Factors Associated with High Patient Activation Level among Individuals with Metabolic Syndrome at a Primary Care Teaching Clinic

Background: High activation level has been associated with higher education background, better self-rated health status, and having adequate health literacy. However, there is a gap in the literature regarding the level of activation and the factors associated with it among patients with metabolic syndrome (MetS) in the Malaysian primary care setting. Objectives: This study aims to determine activation levels and the factors associated with high activation among individuals with MetS in primary care. Methods: A cross-sectional study was conducted at a university primary care clinic. Patient activation was measured using the Patient Activation Measure®-13 Malay version. Activation levels were dichotomized into "low activation" (levels 1 and 2) and "high activation" (levels 3 and 4). To determine the factors associated with high activation, simple logistic regressions (SLogR) followed by multiple logistic regressions (MLogR) were performed. Results: Of 333 participants, 280 (84.1%) were included in the final analysis. The mean activation score was 59.4 (SD ±10.20) and 61.8% had high activation level. Two variables were found to be significant on MLogR. Those who were employed have the odds of 3.135 (95% CI 1.442-6.816) of having high activation compared with those who were unemployed. Those with good self-reported health status have the odds of 6.482 (95% CI 1.243-33.792) of having high activation compared to those with poor self-reported health status. Conclusions: The majority of participants had high activation levels. Those who were employed and those who had good self-reported health status were more likely to have high activation levels. Findings of this study could be used to develop patient activation interventions to improve self-management skills among individuals with MetS in primary care. These may include problem solving support, individualized care plans, peer or family support, and skill building. Those in high activation group can be trained to become mentors to support their peers who have low activation level.

Religiosity and Patient Activation Among Hospital Survivors of an Acute Coronary Syndrome

BACKGROUND

Optimum management after an acute coronary syndrome (ACS) requires considerable patient engagement/activation. Religious practices permeate people's lives and may influence engagement in their healthcare. Little is known about the relationship between religiosity and patient activation.

OBJECTIVE

To examine the association between religiosity and patient activation in hospital survivors of an ACS.

DESIGN

Secondary analysis using baseline data from Transitions, Risks, and Actions in Coronary Events: Center for Outcomes Research and Education (TRACE-CORE) Study.

PARTICIPANTS

A total of 2067 patients hospitalized for an ACS at six medical centers in Central Massachusetts and Georgia (2011-2013).

MAIN MEASURES

Study participants self-reported three items assessing religiosity-strength and comfort from religion, making petition prayers, and awareness of intercessory prayers for health. Patient activation was assessed using the 6-item Patient Activation Measure (PAM-6). Participants were categorized as either having low (levels 1 and 2) or high (levels 3 and 4) activation.

RESULTS

The mean age of study participants was 61 years, 33% were women, and 81% were non-Hispanic White. Approximately 85% derived strength and comfort from religion, 61% prayed for their health, and 89% received intercessory prayers for their health. Overall, 58% had low activation. Reports of a great deal (aOR, 2.02; 95% CI, 1.44-2.84), and little/some (aOR, 1.45; 95% CI, 1.07-1.98) strength and comfort from religion were associated with high activation, as were receipt of intercessions (aOR, 1.48; 95% CI, 1.07-2.05). Praying for one's health was associated with low activation (aOR, 0.78; 95% CI, 0.61-0.99).

CONCLUSIONS

Most ACS survivors acknowledge religious practices toward their recovery. Strength and comfort from religion and intercessory prayers for health were associated with high patient activation. Petition prayers for health were associated with low activation. Healthcare providers should use knowledge about patient's religiosity to enhance patient engagement in their care.

Development of the influence, motivation, and patient activation in diabetes (IMPACT-D™) measure

AIMS

We sought to create a new research and clinical instrument -the Influence and Motivation for Patient ACTivation in Diabetes care (IMPACT-D™) - to measure the degree to which patients with type 2 diabetes (T2DM) value health and believe they can influence it.

METHODS

Candidate items were generated via a literature review, expert opinion, and qualitative interviews and focus groups with T2DM patients in Chicago, IL and Chapel Hill, NC. Psychometric testing guided by item response theory was conducted among an online panel of 500 English-speaking adults with T2DM. Differential item functioning analyses evaluated item performance across key participant characteristics. To determine construct validity, IMPACT-D™ scores were compared to other general measures of personality and patient activation. A second study among 300 patients recruited from two internal medicine clinics further assessed associations between the IMPACT-D™ and health outcomes. Cognitive interviews confirmed patient understanding of IMPACT-D™ items and instructions.

RESULTS

Exploratory factor analyses revealed a single-factor solution that included 6 items. The IMPACT-D™ demonstrated adequate reliability (α = 0.72) and moderate construct validity with patient activation (r = 0.51, p < 0.001) and personality-conscientiousness subscales (r = 0.29, p < 0.001). Higher scores on the IMPACT-D™ were associated with better physical health (r = 0.17, p = 0.003) and lower severity of depressive (r = -0.35, p < 0.001) and anxiety (r = -0.28, p < 0.001) symptoms. There were no significant differences by blood pressure (r = -0.0021, p = 0.9) or haemoglobin A1c (r = -0.069p = 0.2).

CONCLUSIONS

The IMPACT-D holds potential for use in both clinical care and research applications. Future studies should evaluate how to best operationalize its use for both settings.

Increased Patient Activation Is Associated with Fewer Emergency Room Visits and Hospitalizations for Pain in Adults with Sickle Cell Disease

OBJECTIVE

Recurrent vaso-occlusive pain episodes, the most common complication of sickle cell disease (SCD), cause frequent health care utilization. Studies exploring associations between patient activation and acute health care utilization for pain are lacking. We tested the hypothesis that increased activation and self-efficacy are associated with decreased health care utilization for pain in SCD.

METHODS

In this cross-sectional study of adults with SCD at a tertiary medical center, we collected demographics, SCD phenotype, Patient Activation Measure levels, and self-efficacy scores using structured questionnaires. We reviewed charts to obtain disease-modifying therapy and acute health care utilization, defined as emergency room visits and hospitalizations, for vaso-occlusive pain episodes. Negative binomial regression analyses were used to test the hypothesis.

RESULTS

We surveyed 67 adults with SCD. The median age was 27.0 years, 53.7% were female, and 95.5% were African American. Median health care utilization for pain over one year (range) was 2.0 (0-24). Only one-third of participants (38.8%) were at the highest activation level (median [range] = 3 [1-4]). Two-thirds (65.7%) of participants had high self-efficacy (median [range] = 32.0 [13-45]). Regressions showed significant association between health care utilization and activation (incidence rate ratio [IRR] = 0.663, P = 0.045), self-efficacy (IRR = 0.947, P = 0.038), and male sex (IRR = 0.390, P = 0.003). Two outliers with high activation, self-efficacy, and health care utilization also had addictive behavior.

CONCLUSIONS

Many individuals with SCD have suboptimal activation and reduced self-efficacy. Higher activation and self-efficacy were associated with lower health care utilization for pain. Additional studies are needed to evaluate interventions to improve activation and self-efficacy and reduce acute health care utilization for pain.

Illness Representation and Self-Care Ability in Older Adults with Chronic Disease

Chronic illness affects >50% of adults in the United States and accounts for >80% of healthcare spending. The purpose of this study was to determine whether beliefs about one’s chronic disease (illness representation) are associated with self-care activation, emergency department (ED) visits, or hospitalizations. Using a cross-sectional design, we recruited older adults with heart failure, chronic obstructive pulmonary disease (COPD), and chronic kidney disease. The Revised Illness Perception Questionnaire (IPQ-R) measured perceptions about disease. The Patient Activation Measure measured self-care activation. ED visits and hospitalizations were measured by self-report. IPQ-R scores were analyzed using latent profile analysis to identify subgroups. Participants included 187 adults (mean age 65 years, 54% female, 74% Black). We found three subgroups (stable, overwhelmed, and confident). Groups did not differ demographically or by disease. The stable group (few consequences, non-fluctuating pattern) had the fewest hospitalizations. The overwhelmed group (many consequences, fluctuating pattern, high negative emotion) had high hospitalizations and low self-care ability. The confident group (high disease control, well-understood) had the highest self-care ability, but also high hospitalizations. ED visits did not differ by group. We found three subgroups that differ in their illness representation and health outcomes. Findings suggest that assessing patients’ illness representations may have important implications for subgroup-specific interventions.