Clinician Support for Patient Activation Measure

2010 ◽  
Author(s):  
Judith H. Hibbard ◽  
Peter Alf Collins ◽  
Eldon Mahoney ◽  
Laurence H. Baker
Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 571
Author(s):  
Suhyeon Choi ◽  
Yun Hee Ham ◽  
Kihye Han ◽  
Eunjung Ryu

Background: Patient engagement is considered a critical factor in improving healthcare delivery. This study aimed to test the Korean version of the Clinician Support for Patient Activation Measure (CS-PAM) using Rasch analysis, and to explore nurses’ beliefs about patient self-management. Methods: A cross-sectional, exploratory study design was employed. The staff nurses who were recruited from six hospitals were requested to complete the Korean CS-PAM. Their responses were subsequently subjected to Rasch analysis to validate the Korean CS-PAM. The CS-PAM was paraphrased into Korean using the standardized forward–backward translation method. Results: The internal consistency of the scale had good Cronbach’s alpha value. For all items, the infit and outfit statistics fell well within the acceptable range of 0.5–1.5. This measure formed a unidimensional Guttman-like scale that explained 54.7% of the variance. Conclusions: The Korean version of the CS-PAM showed good psychometric properties and appeared to be consistent with the meaning of the original CS-PAM. However, the items have a somewhat different ranking order when compared to the English and Dutch versions. The instrument might be useful for identifying the supportive beliefs and attitudes of nurses or healthcare providers in order to improve patient activation in healthcare.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1214-P
Author(s):  
VALLABH SHAH ◽  
VERNON S. PANKRATZ ◽  
DONICA M. GHAHATE ◽  
JEANETTE BOBELU ◽  
ROBERT NELSON

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Ariel Linden

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.


2021 ◽  
Author(s):  
◽  
Denise Rocha Raimundo Leone

Introdução: o tratamento hemodialítico impõe modificações no cotidiano do indivíduo e demanda autogerenciamento eficaz da saúde para que se alcancem as metas terapêuticas e consequentemente uma melhor qualidade de vida relacionada à saúde. Há evidências de que pessoas com altos níveis de ativação apresentam comportamentos mais saudáveis e melhores desfechos clínicos quando comparadas a pessoas com baixa ativação. Dessa forma, mensurar a ativação dos pacientes em hemodiálise possibilita a identificação do grau de autogerenciamento destes e viabiliza intervenções de saúde direcionadas ao indivíduo, considerando suas crenças, habilidades e motivações. Objetivo: avaliar o nível de ativação de pacientes em hemodiálise e seus fatores associados. Metodologia: estudo com abordagem quantitativa e corte transversal, realizado com 162 pessoas em tratamento hemodialítico de uma unidade de terapia renal substitutiva, sediada no município de Juiz de Fora, Minas Gerais. Os participantes responderam a dois questionários, um para avaliação sociodemográfica e clínica e outro para classificação econômica, e também a duas escalas, uma para mensurar o nível de ativação (Patient Activation Measure-13) e outra para avaliação da qualidade de vida (Kidney Disease Quality of life short form). Foram coletados dados secundários, referentes aos resultados de exames laboratoriais e valores de ultrafiltração, para avaliação dos resultados em saúde. Foi realizada a análise descritiva dos dados para caracterização da população, regressão de Poisson com variância robusta para verificar associação entre o escore de ativação e os dados sociodemográficos, socioeconômicos e clínicos e regressão Logística com a finalidade de estabelecer o relacionamento entre os níveis de ativação com a qualidade de vida relacionada à saúde. Utilizou-se o software SPSS versão 23.0 e o STATA. Resultados: foram construídos dois artigos intitulados “Fatores associados à ativação de pacientes em hemodiálise “e “Nível de ativação e qualidade de vida relacionada à saúde de pessoas em hemodiálise”. Ressalta-se que dos participantes, 63% eram homens, a idade média foi de 59,23+ 15 anos e 74,1% realizavam tratamento há menos de cinco anos. O escore médio da ativação do paciente foi de 60,85 +15,57, sendo a mediana de 53,2 (intervalo de confiança: 58,4 – 63,3). Associou-se à maior prevalência de alta ativação possuir nível superior de ensino e não necessitar de cuidador e à menor prevalência de alta ativação ter o domicílio classificado como B2 ou D-E e não ter realizado previamente outra terapia renal substitutiva. Em relação a ativação e qualidade de vida, o nível de ativação foi associado aos domínios sintomas, funcionamento físico, saúde geral, bem-estar emocional, energia/fadiga e o componente mental da qualidade de vida relacionada à saúde. Conclusão: a maior parte de pessoas em hemodiálise não possuem habilidades, conhecimentos e motivações o suficiente para serem responsáveis pelo autogerenciamento de sua saúde, o que reforça a relevância da atuação profissional em realizar intervenções de saúde que visem melhorar os níveis de ativação dessa população.


2018 ◽  
Vol 31 (7-8) ◽  
pp. 382 ◽  
Author(s):  
Liliana Laranjo ◽  
Vera Dias ◽  
Carla Nunes ◽  
Dagmara Paiva ◽  
Bill Mahoney

Introduction: Management of diabetes mellitus is largely dependent on patients’ active participation in care. The ‘Patient Activation Measure 13’ assesses patients’ knowledge, skills, and confidence in self-care. We aimed to translate, culturally adapt, and validate the ‘Patient Activation Measure 13’ to Portuguese, in people with type 2 diabetes.Material and Methods: The translation and cultural adaptation occurred in six phases. A convenience sample of people with type 2 diabetes was recruited from the waiting rooms of a diabetes outpatient centre in Lisbon, between March and April 2014. The questionnaire was self-administered; medical records were reviewed to obtain glycated haemoglobin levels. Main statistical analyses were based on the Rasch rating scale model.Results: The response rate for the final questionnaire was 76%. Rasch analysis was conducted on 193 respondents. Respondents had a mean age of 67.1 (SD 10.1) years, 42.7% were women, and the mean patient activation measure score (0 - 100) in the sample was 58.5 (SD 10.1). The sample was low to moderate in terms of activation: 40.4% were low in activation (levels 1 and 2), 49.7% were in level 3, and 9.8% were in level 4, the highest level of activation. All items had good fit and the response categories functioned well. Item reliability was 0.97 and person reliability was between 0.77 (real) and 0.83 (model). Discussion: The ‘Patient Activation Measure 13’ was translated and culturally adapted to European Portuguese and validated in people with diabetes, showing good psychometric properties. Future research should aim at evaluating test-retest reliability of the Portuguese ‘Patient Activation Measure 13’, and exploring its ability to measure changes in activation over time.Conclusion: The ‘Patient Activation Measure 13’ is now available in European Portuguese and has good psychometric properties. 


2021 ◽  
pp. ASN.2021030315
Author(s):  
Daniel Cukor ◽  
Leila Zelnick ◽  
David Charytan ◽  
Amanda Shallcross ◽  
Rajnish Mehrotra

2015 ◽  
Author(s):  
Yang-Heui Ahn ◽  
Chung-Hwi Yi ◽  
Ok-Kyung Ham ◽  
Bong-Jeong Kim

2019 ◽  
Vol 19 ◽  
pp. S1
Author(s):  
E. Arrighi ◽  
F. Rodríguez ◽  
D. Buitrago-Garcia ◽  
P. Osorio ◽  
P. Santos-Moreno

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