Measuring self-management of patients’ and employees’ health: Further validation of the Patient Activation Measure (PAM) based on its relation to employee characteristics

2009 ◽  
Vol 77 (1) ◽  
pp. 116-122 ◽  
Author(s):  
Jinnet Briggs Fowles ◽  
Paul Terry ◽  
Min Xi ◽  
Judith Hibbard ◽  
Christine Taddy Bloom ◽  
...  
Keyword(s):  
Patient Activation ◽  
Self Management ◽  
Patient Activation Measure ◽  
Employee Characteristics

scholarly journals Using the patient activation measure to examine the self-management support needs of a population of UK workers with long-term health conditions

2021 ◽  
pp. 174239532110434
Author(s):  
Sally Hemming ◽  
Fehmidah Munir
Keyword(s):  
Mental Health ◽  
Patient Activation ◽  
Health Conditions ◽  
Self Management ◽  
Support Needs ◽  
Management Support ◽  
Long Term Conditions ◽  
Mental Health Conditions ◽  
Patient Activation Measure

Objectives To examine differences in patient activation and self-management support needs in a population of UK workers with long-term health conditions. Methods Demographic, health and activation information were taken from the data of participants with long-term conditions, collected via an online cross-sectional survey of workers. The 13-item British patient activation measure measured workers knowledge, skills and confidence towards self-managing. Results Three hundred and seven workers with mental health, musculoskeletal and other conditions completed the patient activation measure. Mental health conditions were most prevalent (36.8%). Workers were higher activated, however workers with mental health conditions were significantly less activated ( p = 0.006). Differences in activation by condition severity and age were revealed. Discussion This study provides insight to the activation of UK workers with long-term conditions. Whilst workers with mental health conditions need more training and education to self-manage, workers are variably activated indicating broader support needs. There is a gap for workplace self-management support. The patient activation measure is used in healthcare to improve people’s self-management and should be considered to be included in the workplace, and could form part of interventions to support workers self-management. More rigorous studies, including the patient activation measure, are needed to identify the best approaches to identifying workers self-management support needs.

Responsiveness of the Effective Consumer Scale (EC-17)

2009 ◽  
Vol 36 (9) ◽  
pp. 2087-2091 ◽  
Author(s):  
NANCY SANTESSO ◽  
TAMARA RADER ◽  
GEORGE A. WELLS ◽  
ANNETTE M. O’CONNOR ◽  
PETER M. BROOKS ◽  
...  
Keyword(s):  
Self Efficacy ◽  
Decision Aids ◽  
Patient Activation ◽  
Management Program ◽  
Self Management ◽  
Patient Activation Measure ◽  
Standard Deviations ◽  
And Behaviors

Objective.The Effective Consumer Scale (EC-17) comprises 17 items measuring the main skills and behaviors people need to effectively manage their healthcare. We tested the responsiveness of the EC-17.Methods.Participants, in 2 waves of a 6-week Arthritis Self-Management Program (ASMP) from Arthritis Ireland, received a questionnaire at the first and last week of the weekly ASMP. The questionnaire included the EC-17 and 10 other measures for arthritis. Deficits, mean change, and standard deviations were calculated at baseline and Week 6. The EC-17 scores were compared to the Arthritis Self-Efficacy (ASE) and Patient Activation Measure (PAM) scales. Results were presented at OMERACT 9.Results.There is some overlap between the EC-17 and the ASE and PAM; however, most items of greatest deficit in the EC-17 are not covered by those scales. In 327 participants representing both intervention waves (2006 and 2007), the EC-17 was more efficient than the ASE but less efficient than the PAM for detecting improvements after the ASMP, and was moderately correlated with the PAM.Conclusion.The EC-17 appears to measure different skills and attributes than the ASE and PAM. Discussions with participants at OMERACT 9 agreed that it is worthwhile to measure the skills and attributes of an effective consumer, and supported the development of an intervention (such as proposed online decision aids) that would include education in the categories in the EC-17.

The moderating role of informal caregiver’s involvement on the relationship between patient activation and adherence to treatment: Implications for self-management intervention in cancer care.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 12083-12083
Author(s):  
Chiara Acquati ◽  
Judith Hibbard ◽  
Ellen Miller-Sonet ◽  
Anao Zhang ◽  
Elena Ionescu
Keyword(s):  
Cancer Survivors ◽  
Treatment Planning ◽  
Cancer Care ◽  
Informal Caregivers ◽  
Patient Activation ◽  
Self Management ◽  
Adherence To Treatment ◽  
Patient Activation Measure ◽  
Caregiver Involvement ◽  
The Relationship

12083 Background: With increasing demands for a more active role on the part of individuals with cancer and their families in cancer care, patient activation (PA) is emerging as a key factor to promote self-management, adherence to treatment, and satisfaction with treatment planning. The present work investigated the relationship between patient activation and treatment decision making. Given the role informal caregivers play on patient-reported outcomes, it was additionally assessed whether caregiver involvement acted as a moderator of this relationship. Methods: Survey data collected from 504 cancer survivors recruited through online consumer panels were utilized. The survey contained questions concerning treatment options, quality of life, adherence to treatment, next to presence and involvement of informal caregivers. Additionally, the Patient Activation Measure (PAM), sociodemographic and clinical questions were included. A path analysis Structural Equation Modeling (SEM) controlling for covariates was used to examine the relationship between Patient Activation Measure (PAM), caregiver involvement, and the identified outcomes. Moderator analysis was conducted using multiple group SEM. Results: Respondents were mostly women (57.1%), non-Hispanic white (72.9%), middle aged or older adults (68% ≥ 55 y.o.) The four largest cancer type groups were prostate (16.3%), early stage breast (9.7%), gynecological (8.9%), and colorectal cancer (8.3%). Most of the respondents were diagnosed more than 4 years earlier (52.0%). Participants were evenly split between those who received care at an academic cancer center (29.4%) and those treated at community hospital (31.7%). Patient activation was significantly associated with treatment planning being reflective of survivors ’goals and values ( p < 0.001); adherence to treatment ( p = 0.011); and satisfaction ( p < 0.001). Caregiver’s involvement significantly moderated the association between activation and adherence to treatment. Conclusions: Patient activation was positively associated with all three selected outcomes. However, for cancer survivors reporting low rates of caregiver involvement, patient activation was not associated with treatment adherence. Research is needed to deliver and test patient activation interventions inclusive of informal caregivers to improve self-management.

scholarly journals Translation and Validation of Patient Activation Measure (PAM®-13) in Kannada Language

2020 ◽  
Vol 9 (40) ◽  
pp. 2981-2986
Author(s):  
Angela Arun Kapoor ◽  
Prem Venkatesan ◽  
Pratik Arun Phansopkar
Keyword(s):  
Diabetes Mellitus ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Large Population ◽  
Patient Activation ◽  
World Health ◽  
Self Management ◽  
Forward Translation ◽  
Patient Activation Measure ◽  
Kannada Language

BACKGROUND In a country like India with a large population, with diverse culture, socioeconomic status and educational levels, there is a need to translate a Patient Activation Scale Measure (PAM®13) into a regional language which will reduce the language barrier, increases the understanding of patient’s disease condition, and improves their self-management skills. Hence, a reliable and validated instrument ‘Patient Activation Measure (PAM®13)’ is used for evaluating patient’s awareness, skills, and trust in self-management of disease. We wanted to translate and validate the PAM®-13 questionnaire in Kannada language and assess activation levels in diabetes mellitus patients. METHODS A cross-sectional analysis done among 200 adults with diabetes mellitus who speak Kannada. Patients of diabetes mellitus, aged 18 - 85 years from both sexes were included in the study. The PAM®-13 – was translated as recommended by World Health Organisation’s procedure for cross-cultural validation and adaptation of selfreport measures. This involved forward translation, synthesis, backward translation, pre-testing and the final version which was performed by the professionals of Kannada and English language. Data was analysed using SPSS ver. 24.0 for mean, median, standard deviation, Pearson’s correlation and Spearman’s correlation. Stata 14 was used to analyse internal consistency using Cronbach’s Alpha, inter-item, inter-rest, inter-test correlation. RESULTS We found that the mean of the Kannada version of the PAM®-13 was 55.68. The level of internal consistency was good (α=0.8357). CONCLUSIONS PAM® -13 in Kannada language has been demonstrated to be a valid and reliable measure of patient activation in the diabetic population and the present study suggests good psychometric properties. KEY WORDS Patient Activation, Self-Management, Diabetes, Chronic Illness, Chronic Disease, PAM®13, Psychometric Properties

scholarly journals Does the patient activation measure provide a meaningful measure of OA self-management?

2018 ◽  
Vol 26 ◽  
pp. S235-S236
Author(s):  
J.P. Eyles ◽  
M. Ferreira ◽  
K. Mills ◽  
B.R. Lucas ◽  
S.R. Robbins ◽  
...  
Keyword(s):  
Patient Activation ◽  
Self Management ◽  
Patient Activation Measure ◽  
Meaningful Measure

1214-P: Assessing the Efficacy of Home-Based Kidney Care on Patient Activation Measure (PAM) among Patients with Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1214-P
Author(s):  
VALLABH SHAH ◽  
VERNON S. PANKRATZ ◽  
DONICA M. GHAHATE ◽  
JEANETTE BOBELU ◽  
ROBERT NELSON
Keyword(s):  
Patient Activation ◽  
Home Based ◽  
Patient Activation Measure ◽  
Patients With Diabetes

scholarly journals Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing Data

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Ariel Linden
Keyword(s):  
Missing Data ◽  
Measurement Error ◽  
Controlled Trial ◽  
Patient Activation ◽  
Percentage Error ◽  
Missing Responses ◽  
Improve Measurement ◽  
Patient Activation Measure ◽  
Minimum Score ◽  
Missing Items

The patient activation measure (PAM) is an increasingly popular instrument used as the basis for interventions to improve patient engagement and as an outcome measure to assess intervention effect. However, a PAM score may be calculated when there are missing responses, which could lead to substantial measurement error. In this paper, measurement error is systematically estimated across the full possible range of missing items (one to twelve), using simulation in which populated items were randomly replaced with missing data for each of 1,138 complete surveys obtained in a randomized controlled trial. The PAM score was then calculated, followed by comparisons of overall simulated average mean, minimum, and maximum PAM scores to the true PAM score in order to assess the absolute percentage error (APE) for each comparison. With only one missing item, the average APE was 2.5% comparing the true PAM score to the simulated minimum score and 4.3% compared to the simulated maximum score. APEs increased with additional missing items, such that surveys with 12 missing items had average APEs of 29.7% (minimum) and 44.4% (maximum). Several suggestions and alternative approaches are offered that could be pursued to improve measurement accuracy when responses are missing.

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