Psychosocial and clinical predictors of patient satisfaction with cancer care

Alosaimi, Fahad D.; Alsaleh, Futoon S.; Alsughayer, Luluh Y.; Altamimi, Lamees A.; Alfurayh, Ibrahim; Abdel-Aziz, Nashwa; Alsaleh, Khalid

doi:10.1016/j.jsps.2022.01.020

Cited by 5 publications

(8 citation statements)

References 57 publications

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“…The effectiveness of healthcare systems can be measured by how satisfied patients are (Alosaimi et al 2022). A review of the literature reveals that factors affecting patient satisfaction have been examined in a plethora of previous studies in the framework of factors related to service quality (Batbaatar et al 2017), patient demographic characteristics (Alberto Sánchez et al 2014;Danielsen et al 2010;Footman et al 2013), and demographic characteristics of health care providers such as gender and age (Hall et al 1994).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Another factor affecting patient satisfaction is interpersonal care, which is considered for physicians, nurses (Batbaatar et al 2017), and personnel (Andaleeb 2001). Interpersonal communication with patients has been measured with different criteria, including politeness and attention (Akyüz and Ayyildiz 2012), empathy (Badri et al 2009), responsiveness (Andaleeb 2001), friendly behavior (Chahal and Mehta 2013;Saad Andaleeb 1998), kindness (Schoenfelder et al 2011), humaneness (Scotti 2005), emotional support, and respect for patient preferences (Alosaimi et al 2022;Jenkinson et al 2002). According to the results of research (Stanhope et al 2022), regardless of whether care was given in-person or remotely, provider-patient interaction, including listening and warmth, was the main factor in the perceived quality of care.…”

Section: Literature Reviewmentioning

confidence: 99%

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Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network

Khansari

Arbabi

Jamshidi

et al. 2022

JRFM

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The aim of this study is to identify and classify the most important factors affecting patient satisfaction in the COVID-19 pandemic crisis considering economic effects. This is an analytical study using the analytic hierarchy process (AHP) method and ANN-MLP (Artificial neural network based on multilayer perceptron model as a supervised learning algorithm) as an innovative methodology. The questionnaire was completed by 72 healthcare experts (N = 72). The inter-class correlation (ICC) coefficient value was confirmed in terms of consistency to determine sampling reliability. The findings show that interpersonal care and organizational characteristics have the greatest and least influence, respectively. Furthermore, the observations confirm that the highest and lowest effective sub-criteria, respectively, are patient safety climate and accessibility. Based on the study’s objective and general context, it can be claimed that private hospitals outperformed public hospitals in terms of patient satisfaction during the COVID-19 pandemic. Focusing on performance sensitivity analysis shows that, among the proposed criteria to achieve the study objective, the physical environment criterion had the highest difference in private and public hospitals, followed by the interpersonal care criterion. Furthermore, we used a multilayer perceptron algorithm to assess the accuracy of the model and distinguish private and public hospitals as a novelty approach. Overfitting results in finding an MLP model which is reliable, and the accuracy of the model is acceptable.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network

Khansari

Arbabi

Jamshidi

et al. 2022

JRFM

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show abstract

“…These authors also pointed to a relationship between education and satisfaction with medical care -the most satisfied people were found among patients with secondary education. In turn, research carried out by Alosaimi et al [29] did not show that demographic and social factors, such as age, gender, level of education or place of residence, affect satisfaction with oncological care. In the opinion of the authors of the current article, a cultural issue may be relevant here.…”

Section: Discussionmentioning

confidence: 89%

Patient satisfaction with oncological care during the virus pandemic – SARS-CoV-2 taking into account social and demographic factors

Konieczny¹,

Wandalsen²,

Sawicka³

et al. 2023

Ann Agric Environ Med.

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Introduction and Objective.The aim of the study was to examine the perception of medical services by oncological patients during the pandemic, identifying the key factors influencing it. The assessment of patient satisfaction with the treatment and care provided by doctors and other hospital staff provides important information on the quality of health services. Materials and method. The study involved 394 patients diagnosed with cancer treated as inpatients in five oncology departments. The diagnostic survey method was used with a proprietary questionnaire and the standardized EORTC IN-PATSAT32 questionnaire. Calculations were carried out using Statistica 10.0 with p≤0.05 s considered statistically significant. Results. Overall patient satisfaction with cancer care was 80.77/100. Higher values were shown for the competences of nurses than for doctors, especially for their interpersonal skills (79.34 -nurses vs. 74.13 -doctors) and availability (80.11nurses vs. 75.6 -doctors). It was also shown that the level of satisfaction with cancer care increased with age; women rated cancer care lower than men (p = 0.031), particularly its aspect related to the competences of doctors. A lower degree of satisfaction was observed among rural residents (p=0.042). Other demographic data, such as marital status and education, determined satisfaction with cancer care on the selected scale although it did not affect the overall level of satisfaction. Conclusions. The analysed socio-demographic factors, primarily age, gender and place of residence, determined some of the scales concerning patient satisfaction with cancer care during the COVID-19 pandemic. The results of this and other studies of a similar profile should be used in the formation of health policy, particularly in implementing programmes to improve the quality of cancer care in Poland.

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“…Nesse contexto, as instituições de saúde fazem parte dessa rotina, em razão da necessidade frequente de consultas, tratamentos, entre outras especificidades, necessitando, portanto, estarem preparadas para atender a esses pacientes com estrutura física adequada, equipe multidisciplinar capacitada, ciência e humanismo. Um dos indicadores em saúde para identificar a qualidade do atendimento ofertado pelas instituições de saúde é a satisfação com o tratamento hospitalar, reconhecida como componente indispensável para um cuidado com respeito às preferências, necessidades e aos valores individuais do paciente, os quais possibilitam uma melhor QVRS de pessoas com câncer 9,10 .…”

Section: Introductionunclassified

“…A satisfação com o tratamento hospitalar é definida como o grau em que as experiências em saúde do paciente correspondem às suas expectativas e representa toda a vivência e o processo associado ao tratamento. Os fatores relacionados à satisfação com o tratamento hospitalar são: hotelaria, infraestrutura, acessibilidade, disponibilidade de acompanhante durante o internamento; habilidade interpessoal e técnica, comunicação/instrução por parte dos profissionais de saúde; e, no contexto oncológico, a toxicidade causada pelo tratamento, em razão dos efeitos adversos da quimioterapia 3,10,11 .…”

Section: Introductionunclassified

Qualidade de Vida Relacionada à Saúde e Satisfação com o Tratamento Hospitalar de Adultos com Câncer: Estudo Observacional

Ribeiro

Nogueira

Oshiro

et al. 2023

Rev. Bras. Cancerol.

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Introdução: Pacientes com câncer enfrentam percurso terapêutico longo e de alto nível de complexidade. Diante desse cenário, a satisfação com o tratamento hospitalar é um processo importante na recuperação da saúde, dada a possibilidade de se obter informações essenciais referentes às experiências de quem recebe o tratamento, as quais auxiliarão na adequação de condutas para prática da assistência de qualidade com possíveis implicações na qualidade de vida relacionada à saúde (QVRS). Objetivo: Analisar a QVRS e sua relação com a satisfação com o tratamento hospitalar de adultos com câncer. Método: Estudo observacional, analítico, de recorte transversal, realizado com 120 pacientes em tratamento clínico ou cirúrgico em um hospital referência no tratamento onco-hematológico localizado no Sul do Brasil, entre agosto de 2021 e janeiro de 2022. Foram utilizados os instrumentos Quality of Life Questionnaire Core 30 e Satisfaction with In-Patient Cancer Care, analisados descritivamente e por teste de correlação de Spearman. Resultados: A qualidade de vida global apresentou baixos escores (58,54/100) e maior comprometimento no domínio função social (44,17/100). Houve alto nível de satisfação com a equipe médica e de enfermagem, e maiores médias na escala habilidades técnicas (89,44/100 e 86,67/100, respectivamente). Verificou-se significância estatística entre a qualidade de vida global e todos os itens do instrumento de satisfação (p<0,05). Conclusão: A satisfação com o tratamento hospitalar impacta na qualidade de vida de adultos com câncer. Reconhecer as alterações na qualidade de vida e os determinantes que compõem a satisfação ao tratamento hospitalar pode contribuir para o aperfeiçoamento da assistência prestada.

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Psychosocial and clinical predictors of patient satisfaction with cancer care

Cited by 5 publications

References 57 publications

Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network

Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network

Patient satisfaction with oncological care during the virus pandemic – SARS-CoV-2 taking into account social and demographic factors

Qualidade de Vida Relacionada à Saúde e Satisfação com o Tratamento Hospitalar de Adultos com Câncer: Estudo Observacional

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