Adaptation and validation of the German Patient Activation Measure for adolescents with chronic conditions in transitional care: PAM® 13 for Adolescents

2017 ◽  
Vol 41 (1) ◽  
pp. 78-87 ◽  
Author(s):  
Franziska Bomba ◽  
Henriette Markwart ◽  
Holger Mühlan ◽  
Ingo Menrath ◽  
Gundula Ernst ◽  
...  
Keyword(s):  
Chronic Conditions ◽  
Transitional Care ◽  
Patient Activation ◽  
German Patient ◽  
Patient Activation Measure

scholarly journals Implementing the Patient Activation Measure (PAM) in clinical settings for patients with chronic conditions: a scoping review

2020 ◽  
Vol 2 (1) ◽  
pp. e000032
Author(s):  
Rachael Kearns ◽  
Ben Harris-Roxas ◽  
Julie McDonald ◽  
Hyun Jung Song ◽  
Sarah Dennis ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Scoping Review ◽  
Chronic Conditions ◽  
Patient Activation ◽  
Tailored Interventions ◽  
Patient Activation Measure ◽  
Barriers To Implementation ◽  
And Function ◽  
The Impact

ObjectiveThe Patient Activation Measure (PAM) assesses the knowledge, skills and confidence of patients to manage their health, and has been consistently used as an outcome measure of health interventions. Using the PAM to tailor interventions to a patient’s activation level is less understood. This literature review aimed to examine evidence for interventions using the PAM to tailor care for patients with chronic conditions, including enablers and barriers to implementation, and the impact on quality of care.Methods and analysisA scoping review methodology was used to identify literature reporting on PAM-tailored interventions. The Insignia Health website and Medline database were searched. Included papers were published in English from 2004 to 2017, from Organisation for Economic Cooperation and Development countries, included adult patients with chronic conditions, and a PAM-tailored intervention. Eligible full-text papers were assessed against the inclusion criteria. Data were extracted into tables and summarised to assess the key findings, recurring themes and differences across papers.ResultsTwenty-one papers describing the use of PAM-tailored interventions (n=21) were identified. Interventions included motivational interviewing, health coaching, self-management planning and risk profile assessment. The perceived value and function of the PAM held by organisations, clinicians and patients influenced implementation and use. Evidence for the impact of PAM-tailored interventions on quality of care was limited.ConclusionThe PAM is being used to tailor a range of interventions for patients with chronic conditions. Clinician perceptions and understanding about the PAM’s value and purpose influenced implementation. Further research is needed about how PAM-tailored interventions can be integrated into clinical practice, and guide the patient-clinician interaction, in ways that improve the quality of patient care.

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

Nurses’ Experiences of Transitional Care in Multiple Chronic Conditions

2021 ◽  
pp. 108482232110021
Author(s):  
Alireza Nikbakht Nasrabadi ◽  
Leila Mardanian Dehkordi ◽  
Fariba Taleghani
Keyword(s):  
Patient Safety ◽  
Data Collection ◽  
Continuity Of Care ◽  
Chronic Conditions ◽  
Transitional Care ◽  
Major Elements ◽  
Study Data ◽  
Multiple Chronic Conditions ◽  
University Hospitals ◽  
Levels Of Care

Transitional care is a designed plan to ensure the continuity of care received by patients as they transfer between different locations or levels of care. The aim of this paper is to explore nurses’ experiences of transitional care in multiple chronic conditions. A qualitative method with a conventional content analysis approach was utilized. The study was conducted at university hospitals in 2 big cities (Isfahan and Tehran) of Iran. This study is performed from November 2018 to December 2019 using deep, semi-structured, and face-to-face interviews which are focused on nurses’ experiences of transitional care. Data collection continued until saturation was reached. Finally, 15 nurses take part in this study. Data collection and data analysis were conducted concurrently. Data were analyzed using Graneheim and Lundman’s techniques. Two main themes providing a descriptive summary of the major elements of transitional care identified: “threat to patient safety” and “Care breakdown”. Findings showed an exclusive image of unsafe transitional care which was done unplanned without appropriate delegating care to family and threat patient safety. There is still a gap in the transition from hospital to home. Nursing managers can address this issue by creating a culture of teamwork, training competent nurses by continuum education, and more supervision of nursing care. Policymakers can ensure continuity of care by developing policies and programs about transitional care.

scholarly journals The Impact of the COVID-19 Pandemic on Self-Reported Management of Chronic Conditions

2021 ◽  
Vol 8 ◽  
pp. 237437352110076
Author(s):  
Hyllore Imeri ◽  
Erin Holmes ◽  
Shane Desselle ◽  
Meagen Rosenthal ◽  
Marie Barnard
Keyword(s):  
Locus Of Control ◽  
Chronic Conditions ◽  
Online Survey ◽  
Health Locus Of Control ◽  
Patient Activation ◽  
Survey Study ◽  
Chronic Obstructive ◽  
Cross Sectional ◽  
Obstructive Pulmonary Disease ◽  
The Impact

Chronic conditions (CCs) management during the COVID-19 pandemic and the impact of the pandemic on patient activation (PA) and health locus of control (HLOC) remain unknown. This cross-sectional online survey study examined the role of COVID-19 pandemic-related worry or fear in PA and HLOC among patients with CCs. Individuals with CCs (n = 300) were recruited through MTurk Amazon. The questionnaire included sociodemographic questions, the Patient Activation Measure, and the Multidimensional Health Locus of Control–Form B. Out of the 300 participants, 9.7% were diagnosed with COVID-19, and 7.3% were hospitalized. Patients with cancer, chronic kidney disease, chronic obstructive pulmonary disease, drug abuse/substance abuse, and stroke reported significant difficulties in managing their CCs due to worry or fear because of COVID-19. More than half of the sample (45.7%) reported COVID-19-related worry or fear about managing their CCs, and these patients had lower PA and lower external HLOC compared to patients not affected by COVID-19-related worry or fear. Health professionals should provide more support for patients facing difficulties in managing their CCs during the COVID-19 pandemic.

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.

scholarly journals Training Medical Residents to Address Social Determinants of Health for Better Health Outcomes

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 258-259
Author(s):  
Angela Zell ◽  
Joan Ilardo ◽  
Adesuwa Olomu ◽  
Cristian Meghea ◽  
Supratik Rayamajhi
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Chronic Conditions ◽  
Local Community ◽  
Patient Activation ◽  
Resident Training ◽  
Determinants Of Health ◽  
Medical Residents ◽  
Patient Response ◽  
Future Clinical Practice

Abstract Gaps exist in training medical residents to assess social determinants of health (SDOH) related to chronic conditions. To address the need for better screening, we partnered with two Internal Medicine (IM) residency programs based in Lansing and Flint (Michigan) to pilot the Caring for Patients with Chronic Conditions (CPCC) project. IM residencies train internists with expertise in diagnosis, treating chronic conditions, promoting health through wellness education, and preventing and managing diseases. CPCC incorporated information during didactic sessions that residents could apply during their clinical activities that can influence their current and future clinical practice patterns. Presentations and panels from local community organizations on specific topics were incorporated into the curriculum that address needs of patients age 50 and older. To build on this education, the residents adapted the Office- Guidelines Applied in Practice (Office-GAP) checklist to identify SDOH affecting a patient’s ability to managed chronic conditions. Using this tool: 1) involves resident training; 2) provides a decision support checklist; 3) influences patient activation; and 4) increases provider and patient communication through shared decision making. The checklist includes questions for patient response pertaining to SDOH that prevents them from managing their chronic conditions in addition to the level of action the patient is willing to do. Areas identified are discussed between patient and resident increasing patient activation. Referrals to community-based resources to identified SDOH needs are guided by the clinic’s care manager. The Office-GAP tool is administered during three subsequent visits to ensure that patients actually accessed the community resources.

scholarly journals Ativação de pacientes em hemodiálise: fatores associados e qualidade de vida relacionada à saúde

2021 ◽  
Author(s):  
◽  
Denise Rocha Raimundo Leone
Keyword(s):  
Quality Of Life ◽  
Kidney Disease ◽  
Short Form ◽  
Patient Activation ◽  
Minas Gerais ◽  
Patient Activation Measure

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.

scholarly journals Translation and Validation of the Patient Activation Measure in Portuguese People with Type 2 Diabetes Mellitus

2018 ◽  
Vol 31 (7-8) ◽  
pp. 382 ◽  
Author(s):  
Liliana Laranjo ◽  
Vera Dias ◽  
Carla Nunes ◽  
Dagmara Paiva ◽  
Bill Mahoney
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Psychometric Properties ◽  
Rating Scale ◽  
Patient Activation ◽  
Future Research ◽  
Convenience Sample ◽  
European Portuguese ◽  
Patient Activation Measure

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. 

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