Patient Activation Measure Research Articles

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.

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

The Patient Activation Measure-13 (PAM-13) in an oncology patient population: psychometric properties and dimensionality evaluation

BackgroundAccurate assessment and enhancement of health-related skills among oncology patients are pivotal for optimizing cancer care. The Patient Activation Measure (PAM-13), a questionnaire designed to reflect an individual’s knowledge, skills, and confidence in self-healthcare management, has been validated across diverse countries and settings. Concerns have been raised regarding the cross-situational applicability, as patients with specific diseases and cultural backgrounds interpret questionnaire items differently. This study aimed to examine the structural validity and psychometric properties of the PAM-13 in an oncological patient cohort.MethodsBaseline data from a longitudinal non-randomized controlled study involving cancer out-patients (n = 1,125) from Comprehensive Cancer Centres in Southern Germany were analysed. The German version of the PAM-13 was employed. With classical test and item response theory methods data quality, reliability, convergent and structural validity, as well as psychometric properties were assessed. Exploratory (EFA) and confirmatory factor analyses (CFA) were employed to investigate the postulated unidimensionality of the underlying construct. With a partial credit model (PCM) we examined item fit, targeting, local independence and differential item functioning.ResultsParticipants were predominantly female (73.0%) with a breast cancer diagnosis (41.3%). While items were generally well-accepted, ceiling effects were observed and a high mean PAM-13 score (69.7, SD = 14.2) was noted, potentially compromising responsiveness to interventions. Reliability was adequate (Cronbach’s α = 0.81), person and item separation reliability were good to excellent (0.81 and 0.99, respectively). Explorations of the unidimensionality of the construct (EFA, CFA, PCM) yielded inconclusive results, hinting towards a two-factor solution. Item difficulty rankings deviated from the original. No differential item functioning was identified, and local independence was confirmed.ConclusionsWhile the PAM-13 serves as a valuable instrument for comprehending and promoting health-related skills in cancer patients, the identification of ceiling effects, disordered item-difficulty rankings, and inconclusive findings regarding unidimensionality contribute to the expanding body of evidence, emphasizing the dependency of PAM-13’s validity and reliability on distinctive characteristics within the population under investigation. Future research should prioritize refining or adding PAM-13 items to better capture the specific health-related challenges within diverse populations, paving the way for more effective patient engagement strategies in oncology.Trial registration numberDRKS00021779

Structural relations of illness perception, fatigue, locus of control, self-efficacy, and coping strategies in patients with multiple sclerosis: a cross-sectional study

BackgroundPatients with multiple sclerosis (MS) experience extensive problems due to fatigue and illness perception. Reducing these problems may improve these patients’ quality of life (QoL). Accordingly, the current study is aimed at investigating the mediating role of self-efficacy, locus of control, coping strategy, and outcome expectancy in the relationship between illness perception and fatigue severity in patients with MS.MethodsIn a cross-sectional analytical study, data of 172 MS patients were collected by self-report questionnaires including illness perception questionnaires (IPQ-R), Multiple Sclerosis Self-Efficacy (MSSES) scale, health locus of control (MHLC), coping strategies in MS(CMSS), outcome expectancy, level of physical activity (IPAQ-SF), patient activation measure (PAM-13) and fatigue severity scale (FSS). The data were analyzed using linear and multiple regression analysis in SPSS software version 24 (SPSS Inc., Chicago, IL, USA).ResultsThe final model explained 62% of the fatigue variance. Illness perception both directly and indirectly (through self-efficacy, physical activity level, internal health locus of control, patient activation, and negative coping strategies) could predict the participants’ fatigue severity. Among the mediating variables, internal health locus of control, self-efficacy, and negative coping strategies had the greatest impact, respectively. moreover, outcome expectancy variable did not a mediating role in the aforementioned relationship.ConclusionsTo enhance the well-being of MS patients and to improve the efficiency of treating MS related fatigue, a comprehensive treatment protocol is needed, encompassing psychological factors affecting fatigue severity.

Effectiveness of the Assessment of Burden of Chronic Conditions (ABCC)-tool in patients with asthma, COPD, type 2 diabetes mellitus, and heart failure: A pragmatic clustered quasi-experimental study in the Netherlands

Background The Assessment of Burden of Chronic Conditions (ABCC)-tool was developed to optimise chronic care. Objectives This study aimed to assess the effectiveness of the ABCC-tool in patients with COPD, asthma, type 2 diabetes, and/or heart failure in primary care in the Netherlands. Methods The study had a pragmatic, clustered, two-armed, quasi-experimental design. The intervention group (41 general practices; 176 patients) used the ABCC-tool during routine consultations and the control group (14 general practices; 61 patients) received usual care. The primary outcome was a change in perceived quality of care (PACIC; Patient Assessment of Chronic Illness Care) after 18 months. Secondary outcomes included change in the PACIC after 6 and 12 months, and in quality of life (EQ-5D-5L; EuroQol-5D-5L), capability well-being (ICECAP-A; ICEpop CAPability measure for Adults), and patients’ activation (PAM; Patient Activation Measure) after 6, 12, and 18 months for the total group and conditions separately. Results We observed a significant difference in the PACIC after 6, 12, and 18 months (18 months: 0.388 points; 95%CI: 0.089–0.687; p = 0.011) for the total group and after 6 and 12 months for type 2 diabetes. After 18 months, we observed a significant difference in the PAM for the total group but not at 6 and 12 months, and not for type 2 diabetes. All significant effects were in favour of the intervention group. No significant differences were found for the EQ-5D-5L and the ICECAP-A. Conclusion Use of the ABCC-tool has a positive effect on perceived quality of care and patients’ activation, which makes the tool ready for use in clinical practice. Healthcare providers (e.g. general practitioners and practice nurses) can use the tool to provide person-centred care. Trial registration number: ClinicalTrials.gov Registry (NCT04127383).

Implementation of a virtual community of practice to promote the empowerment of middle-aged people with multimorbidity: study protocol of a randomised controlled trial

IntroductionEmpowering people living with multimorbidity (multiple chronic conditions) to gain greater confidence in managing their health can enhance their quality of life. Education focused on self-management is a key tool...

Determinants associated with activation in patients with oral anticoagulant treatment: A cross-sectional study

AimsThe terms “patient activation” and “patient empowerment” are used to describe the extent to which individuals are able to manage their own healthcare. Health outcomes and quality of life improve in patients who are more active in health care. The aim of this study was to identify sociodemographic, clinical, sociological and psychological determinants associated with activation in a group of chronically anticoagulated patients. MethodsCross-sectional study of patients treated with oral antivitamin-k drugs attended at a specialized outpatient anticoagulant unit between November 2021 and June 2022. The main dependent variable was the level of patient activation according to the 13-item Patient Activation Measure (PAM-13). Simple and multiple linear regression models were conducted to identify the determinants associated with PAM-13 score. ResultsA total of 137 patients who met all the inclusion criteria were recruited for the study. The mean age was 59.6 years (SD 13.8; range 22–86) and 60.6% were male. Sixty per cent presented a level IV of activation according to the PAM-13 scale. Mean patient activation score was 73.9 (SD 15.4). The factors independently associated with significantly lower activation were: emergency department visits in the past 12 months, intermediate social risk, anxiety symptoms, stress symptoms and low self-efficacy. ConclusionsFive determinants were found to be associated with activation. Knowing the factors that modify the level of activation can help to identify subgroups of chronic anticoagulated patients who are less likely to engage in self-management and are therefore candidates for tailored educational interventions.

Feasibility and Inter-rater Reliability of the Japanese Version of the Intensive Care Unit Mobility Scale.

Purpose The purpose of this study was to verify the feasibility and inter-rater reliability of the Japanese version of the Intensive Care Unit Mobility Scale (IMS). Methods A prospective observational study was conducted at two intensive care units (ICUs) in Japan. The feasibility of the Japanese version of the IMS was assessed by 25 ICU staff(12 physical therapists and 13 nurses) using a 10-item questionnaire. Inter-rater reliability was assessed by two experienced physical therapists and two experienced nurses working with 100 ICU patients using the Japanese version of the IMS. Results In the questionnaire survey assessing feasibility, a high agreement rate was shown in 8 out of the 10 questions. All respondents could complete the IMS evaluation, and most respondents were able to complete the scoring of the IMS in a short time. The inter-rater reliability of the Japanese version of the IMS on the first day of physical therapy for ICU patients was 0.966 (95% CI: 9.94-9.99) for the weighted kappa coefficient and 0.985 (95% CI: 9.97-9.99) on the ICU discharge date assessment. The weighted κ coefficient showed an "almost perfect agreement" of 0.8 or higher. Conclusion The Japanese version of the IMS is a feasible tool with strong inter-rater reliability for the measurement of physical activity in ICU patients.

Patient activation and health literacy in Dutch patients with multiple involved specialties

Abstract Aim To examine the association between having a higher number of involved specialties, patient activation (PA), and health literacy (HL) in patients visiting a general hospital. Subject and methods Patients ≥ 18 years of age who had an appointment with the medical specialist or physician assistant were asked to participate in this study. Patients completed the Patient Activation Measure-13 (PAM) questionnaire and the European Health Literacy Survey Questionnaire (HLS-EU-Q). They were stratified into having < 3 or ≥ 3 involved medical specialties in the past 12 months. Two association models were built to examine the association. Results This study included 200 patients with 52% males (n = 104), a median age of 65 years, and low levels of education (67%). Patients with ≥ 3 involved medical specialties (58%) had lower total PAM scores (p = 0.03) and had lower HLS-EU-Q index scores (p = 0.23). The multivariable regression analysis showed that having ≥ 3 involved medical specialties was not associated with low PAM scores (OR = 1.59, p = 0.13) when adjusted for low education, low HLS-EU-Q scores, and higher age (> 65 years). In addition, having ≥ 3 involved medical specialties was not associated with low HLS-EU-Q scores (OR = 1.10, p = 0.76) when adjusted for low PAM scores and low education. Conclusion Patients with ≥ 3 involved medical specialties visiting the internal medicine department of a general (non-academic) hospital had variable levels of PA and HL. Moreover, having ≥ 3 involved medical specialties was not significantly associated with lower PA and HL. Importantly, the number of involved specialties may not be a proxy for recognizing low PA and HL. Organizations aiming to improve PA and HL could measure these constructs directly.

Role performance and factors affecting quality of life in bladder cancer survivors with ileal orthotopic neobladder

ObjectiveBladder cancer survivors with neobladder experience changes in role performance and quality of life (QoL) due to various symptoms and problems, but related studies are limited. Therefore, this study attempted to explore the QoL and factors influencing it in bladder cancer survivors with neobladder. MethodsA cross–sectional descriptive design was used. Data were collected from 100 bladder cancer survivors with a neobladder using the European Organisation for Research and Treatment of Cancer QLQ–C30 and Muscle–Invasive Bladder Cancer Module, the Patient Activation Measure 13, the Enforced Social Dependency Scale, and the Multidimensional Scale of Perceived Social Support. Factors affecting the QoL were identified using multiple regression analysis. ResultsQoL significantly differed by daily pad usage, need for clean intermittent catheterization, and role performance. QoL was correlated with urinary symptoms and problems, future perspective, abdominal bloating and flatulence, body image, role performance, and social support. Role performance, body image, and the need for clean intermittent catheterization were identified as the factors affecting QoL. ConclusionsThe study highlights the importance of bladder cancer survivors continuing their roles at home, at work, and in society after neobladder reconstruction. Specifically, continuing recreational and social activity positively affects QoL, even if the activity range is modified. To help with their role performance, institutional support and changes in social perception are needed. Additionally, education and interventions, including body image enhancement, symptom management, and self–care, should be developed and applied to improve their QoL.

Interprofessional follow-up for people at risk of type 2 diabetes in primary healthcare – a randomized controlled trial with embedded qualitative interviews

Objective To examine the effects of an empowerment-based interprofessional lifestyle intervention program among people at risk of type 2 diabetes on knowledge, skills, and confidence in self-management, health, psychological well-being, and lifestyle characteristics, and to explore the participants’ perceptions of participating in the intervention. Design and methods In line with the Medical Research Council complex interventions research methods framework, we conducted a randomized controlled trial with embedded qualitative interviews in primary healthcare clinics in Norway between 2019–2021. Of the patients at risk (The Finnish Diabetes Risk Score Calculator (FINDRISC) ≥15 or Body Mass Index (BMI) ≥30) 142 accepted the invitation, and 14 participants from the intervention group participated in individual interviews after the 12-month follow-up. Our primary outcome was the Patient Activation Measure (PAM-13). Secondary outcomes were EQ-5D-5L, EQ-VAS, WHO-Overall health, WHO-Overall QOL, weight, height, waist circumference, and regularity of physical activity. We used thematic analysis to analyse the qualitative data. Results There was no clinically relevant differences of neither the primary nor the secondary endpoints between intervention and control group. As to the qualitative data, we identified two distinct features: ‘Meaningful perspectives on lifestyle changes’ and ‘Lifestyle change is not a linear process due to challenges faced along the way’ putting ownership of their choices in life into picture. Conclusion The negative results of the RCT stand in contrast to the findings given by the participants voices, perceiving the intervention as a key eye opener placing their health challenges in perspective. How to interpret these seemingly conflicting findings of participants being seen, heard, and understood, helping them to take more conscious ownership of their choices in life, and at the same time demonstrating no improvements in symptoms or measures, is a dilemma that needs further exploration. We should be careful to implement interventions that do not demonstrate any effects on the quantitative outcomes.

Measuring the Impact of Primary Care Team Composition on Patient Activation Utilizing Electronic Health Record Big Data Analytics.

Team-based care has been linked to key outcomes associated with the Quadruple Aim and a key driver of high-value patient-centered care. Use of the electronic health record (EHR) and machine learning have significant potential to overcome previous barriers to studying the impact of teams, including delays in accessing data to improve teamwork and optimize patient outcomes. This study utilized a large EHR dataset (n=316,542) from an urban health system to explore the relationship between team composition and patient activation, a key driver of patient engagement. Teams were operationalized using consensus definitions of teamwork from the literature. Patient activation was measured using the Patient Activation Measure (PAM). Results from multilevel regression analyses were compared to machine learning analyses using multinomial logistic regression to calculate propensity scores for the effect of team composition on PAM scores. Under the machine learning approach, a causal inference model with generalized overlap weighting was used to calculate the average treatment effect of teamwork. Seventeen different team types were observed in the data from the analyzed sample (n=12,448). Team sizes ranged from 2 to 5 members. After controlling for confounding variables in both analyses, more diverse, multidisciplinary teams (team size of 4 or more) were observed to have improved patient activation scores. This is the first study to explore the relationship between team composition and patient activation using the EHR and big data analytics. Implications for further research using EHR data and machine learning to study teams and other patient-centered care are promising and could be used to advance team science.

Association between patient activation and delayed discharge in elective laparoscopic cholecystectomy: A prospective cohort analysis

BackgroundImproving patient activation may be an effective way to reduce healthcare costs and improve patient outcomes after surgery. ObjectiveTo determine whether preoperative patient activation is associated with delayed discharge (i.e., length of stay >24 h) after elective laparoscopic cholecystectomy. Postoperative symptoms, unscheduled access to healthcare facilities within seven days of surgery, unplanned hospital readmissions, and postoperative complications were analyzed as secondary outcomes. DesignThis cohort study was a secondary analysis of the DeDiLaCo study (Delayed Discharge after day-surgery Laparoscopic Cholecystectomy) collecting data of patients undergoing elective laparoscopic cholecystectomy during 2021 in Italy. Data was analyzed from June 2022 to April 2023. Setting90 Italian surgical centers participating in the study. Participants4708 adult patients with an instrumental diagnosis of gallbladder disease and undergoing laparoscopic cholecystectomy. Patient activation was assessed using the Italian translation of Patient Activation Measure in the preoperative setting. ResultsOf 4532 cases analyzed the median (IQR) Patient Activation Measure score was 80.3 (71.2–92.3). Participants were on average 55.5 years of age and 58.1 % were female. Two groups based on the activation level were created: 270 (6 %) had low activation, and 4262 had high activation. The low activation level was associated with the likelihood of delayed discharge (odds ratio [OR] 1.47, 95 % CI, 1.11–1.95; P = .008), higher symptom burden (OR 1.99, 95 % CI 1.49–2.66, P < .0001), and unplanned healthcare utilization within seven days after hospital discharge (OR 1.85, 95 % CI, 1.29–2.63; P = .001). There was no difference between the high and low activation groups in the incidence of postoperative complications (OR 1.28, 95 % CI, 0.95–1.73; P = .10) and hospital readmission after discharge (OR 0.95, 95 % CI, 0.30–3.05; P = .93). ConclusionsOur results suggest that patients with low activation have 1.47 times the risk of delayed discharge compared with patients with higher activation, almost twice the risk of the onset of postoperative symptoms, and 1.85 times the risk of unscheduled use of hospital services. Screening for patient activation in the preoperative setting could not only identify patients not suitable for early discharge, but more importantly, help physicians and nurses develop tailored interventions.

What Is the Association Between Agency and Levels of Capability and Comfort in Musculoskeletal Care? A Systematic Review.

People who take active responsibility for their health demonstrate agency. Agency in the context of chronic illness management with disease-modifying treatments is commonly linked to adherence and confidence in care seeking. In musculoskeletal health, agency is commonly observed in the accommodation of conditions related to aging and reflected in studies of people not seeking care. The development of agency measures originates from the realm of medical management of chronic illness rather than that of musculoskeletal disease, which is often optional or discretionary. With growing interest in the universal adoption of agency as a performance measure for quality payment programs, there is a need to better understand how agency is measured across musculoskeletal conditions, and how agency may be a modifiable correlate of capability, comfort, mindset, and circumstances. We systematically reviewed the evidence regarding agency among people seeking musculoskeletal specialty care and asked: (1) Are greater levels of agency associated with greater levels of comfort and capability? (2) Are greater levels of agency associated with better mental and social health? Following the PRISMA guidelines, we performed searches on May 22, 2023, with searches spanning September 1988 (in PubMed and Web of Science) and September 1946 (in Ovid Medline) to May 2023. We included original clinical studies addressing the relationship between agency and levels of comfort, capability, mindset, and circumstances (by utilizing patient-reported agency measures [PRAMs], patient-reported outcome measures [PROMs], and mental and social health measures) involving adult patients 18 years or older receiving specialist care for musculoskeletal conditions. We identified 11 studies involving 3537 patients that addressed the primary research question and three studies involving 822 patients that addressed the secondary question. We conducted an evidence quality assessment using the Methodological Index for Non-Randomized Studies (MINORS) and found the overall evidence quality to be relatively high, with loss to follow-up and lack of reporting of sample size calculation the most consistent study shortcomings. The measures of capability varied by anatomical region. The Patient Activation Measure (a validated 10- or 13-item survey originally designed to assess a patient's level of understanding and confidence in managing their health and ability to engage in healthcare related to chronic medical illness) was used as a measure of agency in 10 studies (one of which also used the Effective Consumer Scale) and attitudes regarding one's management of musculoskeletal disorders in one study. We registered this systematic review on PROSPERO (Reg CRD42023426893). In general, the relationships between PRAMs and PROMs are weak to moderate in strength using the Cohen criteria, with 10 of 11 studies demonstrating an association between levels of agency and levels of comfort and capability. The three studies addressing mental health found a weak correlation (where reported) between levels of agency and levels of symptoms of depression and anxiety. The finding that agency in patients seeking care for musculoskeletal conditions is associated with greater comfort, capability, and mental health supports the prioritization of agency modification during musculoskeletal specialty care. This might include behavioral health and cognitive debiasing strategies along with strategies and services promoting self-management. Our work also points to an opportunity to develop agency measures better suited for discretionary care that more directly assess the cultivation of healthy mindsets, behaviors, and accommodative attitudes toward the discomfort and incapability experienced during aging. Level II, prognostic study.

Investigating Digital Patient-Reported Outcome Measures in Patient-Centered Diabetes Specialist Outpatient Care (DigiDiaS): Protocol for a Multimethod Prospective Observational Study.

Living with type 1 diabetes is challenging, and to support self-management, repeated consultations in specialist outpatient care are often required. The emergence of new digital solutions has revolutionized how health care services can be patient centered, providing unprecedented opportunities for flexible, high-quality care. However, there is a lack of studies exploring how the use of digital patient-reported outcome measures (PROMs) for flexible specialist care affects diabetes self-management. To provide new knowledge on the relevance of using PROMs in standard care, we have designed a multimethod prospective study. The overall aim of this protocol is to describe our prospective multimethod observational study designed to investigate digital PROMs in a routine specialist outpatient setting for flexible patient-centered diabetes care (DigiDiaS). This protocol outlines the design of a multimethod prospective observational cohort study that includes data from electronic health records, self-reported questionnaires, clinical consultation field observations, and individual in-depth interviews with patients and diabetes health care personnel. All patients with type 1 diabetes at a designated outpatient clinic were invited to participate and use the digital PROM implemented in clinical care. Both users and nonusers of the digital PROM were eligible for the prospective study, allowing for a comparison of the two groups. Data were collected at baseline and after 12 months, including self-management as the primary outcome assessed using the Patient Activation Measure, along with the secondary outcomes of digital health literacy, quality of life, health economy, and clinical variables such as glycated hemoglobin. The digital solution was implemented for routine clinical care in the department in November 2021, and data collection for the prospective study started in October 2022. As of September 6, 2023, 84.6% (186/220) of patients among those in the digital PROM and 15.5% (34/220) of patients among the nonusers have consented to participate. We expect the study to have enough participants by the autumn of 2023. With 1 year of follow-up, the results are expected by spring 2025. In conclusion, a multimethod prospective observational cohort study can offer valuable insights into the relevance, effectiveness, and acceptability of digital tools using PROMs in diabetes specialist care. Such knowledge is crucial for achieving broad and successful implementation and use of these tools in a large diabetes outpatient clinic. DERR1-10.2196/52766.

Measuring patient activation: the utility of the Patient Activation Measure administered in an interview setting

BackgroundPatient activation is an emerging field in healthcare research concerning knowledge, skills, and confidence of patients in managing their health. This is particularly important for patients with chronic diseases, who often require more complex care management and self-care skills. However, due to temporary or longer-lasting visual impairments, certain patient groups cannot answer a questionnaire independently. The main objective is to investigate the psychometric properties of the German Patient Activation Measure® (PAM) survey in an everyday clinical setting where it has to be read aloud.MethodsOutpatients with macular edema participated in this questionnaire-based cross-sectional study. The study assessed patient activation by the PAM® survey, self-rated health, self-efficacy, quality of life, and general mood. Interviewers read questionnaires aloud to patients. Psychometric properties of the PAM® survey were investigated by item response theory (IRT), Cronbach’s α and trait–trait correlations.ResultsThe analysis included N = 554 patients. Median age was 69 (IQR 62.0–76.0) years and mean overall activation score 74.1 (SD 13.7). All items showed ceiling effects. Empirical reliability from the IRT model and Cronbach’s α were 0.75. The PAM® survey showed a Spearman correlation of 0.54 with self-efficacy, 0.51 with quality of life and 0.34 with general mood.ConclusionThe read-aloud PAM® survey has been shown to provide to adequate measurement precision and convergent validity to be used as a screening tool in an everyday clinical setting. Objective assessment in an interview setting with the PAM® survey is possible. PAM® items are good in distinguishing lower to middle activated patients, but not patients with high activation. Further, issues with structural validity need more investigation.

Transition readiness of adolescents with cancer: A cross-sectional study based on self-determination theory

PurposeThis study aimed to assess the transition readiness of adolescents with cancer in central China and to explore the paths associated with transition readiness based on self-determination theory (SDT). MethodsSelf-management and transition to adulthood with Rx = treatment questionnaire, patient activation measure, perceived social support scale and general self-efficacy scale were used to measure transition readiness as well as constructs pertaining to SDT (competence, relatedness and autonomy). The factors influencing transition readiness were evaluated using multiple linear regression. Models 4 and 6 in PROCESS Macro 3.3 were used to test the mediating effects and chain mediating effects, respectively. ResultsA total of 217 adolescents with cancer were included; their mean transition readiness score was 59.95 (11.34). Age (t = 6.086, p < 0.000), duration of diagnosis (t = 2.218, p = 0.028), completion of treatment (t = −2.036, p = 0.043), insurance, and competence (t = 11.149, p < 0.000) were significantly associated with transition readiness. The direct effects of self-efficacy and perceived social support on transition readiness were not significant. However, two chain mediating paths were observed: perceived social support - self-efficacy - patient activation - transition readiness and self-efficacy - perceived social support - patient activation - transition readiness; the effect values of these paths were 0.0678 and 0.0703, respectively. ConclusionsThe findings of this study add to the evidence supporting the use of SDT-related constructs to promote transition readiness among adolescents with cancer, highlight the importance of encouraging patient activation, and clarify the ancillary roles of social support and self-efficacy in patient activation development during transitional period.

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

BackgroundPatient 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.AimTo examine patient activation levels in people with CKD stage 5 pre-dialysis and determine associations with sociodemographic characteristics, treatment adherence and healthcare utilisation.Methods/designPeople 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.ResultsTwo 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).ConclusionPatient 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.Graphical abstract

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

BackgroundThe 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.MethodsSAPPA 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.ResultsLogistic 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.ConclusionsLow 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.

Association of Psychosocial Factors with Activation Among Patients with Glaucoma

To investigate the association of psychosocial factors with health self-management behaviors and beliefs among patients with POAG. Prospective cross-sectional cohort study. Patients (n=202) with mild, moderate, or advanced bilateral POAG. Patients (n=1,164) were identified from electronic medical records at a single academic medical center. Letters soliciting participation were mailed to 591 randomly selected potential participants. Psychometric measures and a determinants of health questionnaire were administered by phone to 202 study participants. The NEI VFQ-8 (NEI-VFQ), the Multidimensional Health Locus of Control (MHLC), the Perceived Medical Condition Self-Management Scale-4 (PMCSMS), the Patient Health Questionnaire-9 (PHQ), the Patient Activation Measure-13 (PAM), health literacy and a determinants of health questionnaire. For each increase in level of POAG severity, there was a decrease in mean NEI-VFQ score (p<0.001). For each unit increase in NEI-VFQ item 1, self-rated vision, mean PAM score increased (R2=5.3%, p=0.001; 95% CI= [0.077, 0.276]). For each unit increase in 'Internal 'on the MHLC, mean PAM score increased (R2=19.3%, 95% CI= [.649, 1.166], p<0.001). For each unit increase in 'Doctors' on the MHLC, mean PAM score increased (R2=11.0%, 95% CI= [1.555, 3.606], p<0.001). For each unit increase in 'Chance' on the MHLC, mean PAM score decreased (R2=2.6%, 95% CI= [-0.664,-0.051], p=0.023). On multivariate analysis adjusting for age, sex and race, for each unit increase in PHQ, mean PAM score decreased (95% CI = [0.061,1.35], p=0.032); for each unit increase in MHLC 'Doctors', mean PAM score increased (95% CI=[-1.448,3.453], p<0.001); for each unit increase in MHLC 'Internal', mean PAM score increased (95% CI=[0.639,1.137 ], p<0.001); for each unit increase in MHLC 'Chance' , mean PAM score decreased (95% CI=[-0.685,-0.098], p=0.009). We identified modifiable behavioral factors that could increase patients' self-perceived ability and confidence to manage their own eye care. Locus of control (MHLC), level of depression (PHQ), and self-rated functional vision (NEI-VFQ) were each associated with patient behaviors, attitudes and beliefs needed for health self-management (activation, assessed by the PAM) and may be important determinants of adherence behaviors. Targeting change in patients' care beliefs and behaviors may improve activation and treatment outcomes.

Patient activation and medication adherence in adults

BackgroundPatients’ level of medication adherence provides conflicting results in its relationship to patient activation. Multiple factors may be contributing to these mixed results. ObjectivesThe primary purpose was to assess the association of patient activation to medication adherence in adults with chronic health conditions and low health literacy (HL). Secondary objectives were to determine whether age, education, gender, and race were associated with activation. MethodsParticipants completed self-report questionnaires regarding chronic disease self-management. Patient activation was measured using Hibbard’s Patient Activation Measure (PAM). Self-report of medication adherence was determined using the Gonzalez-Lu adherence questionnaire. Block regressions first assessed the relation of demographic variables and education to adherence and then the added relation of patient activation in a second model. ResultsThe analyses included 301 participants (mean age 58 years; 53% female; mean chronic conditions of 6.6). Some of the most common chronic conditions included hypertension (60%), arthritis (51%), depression (49%), and hyperlipidemia (43%). The relation of older age to greater medication adherence was significant (P < 0.05) in both models. The addition of PAM was significantly related to better adherence (P < 0.001) and also increased the R squared value from 0.04 to 0.09. This change resulted in a moderate effect size (d = 0.50). ConclusionEvaluating patient activation at baseline may predict those more likely to be medication adherent in patients with low HL.