Dataset Information

Perspectives of health care professionals on cancer cachexia: results from three global surveys.

ABSTRACT: Cachexia has a high prevalence in cancer patients and negatively impacts prognosis, quality of life (QOL), and tolerance/response to treatments. This study reports the results of three surveys designed to gain insights into cancer cachexia (CC) awareness, understanding, and treatment practices among health care professionals (HCPs).Surveys were conducted globally among HCPs involved in CC management. Topics evaluated included definitions and synonyms of CC, diagnosis and treatment practices, and goals and desired improvements of CC treatment.In total, 742 HCPs from 14 different countries participated in the surveys. The majority (97%) of participants were medical oncologists or hematologists. CC was most frequently defined as weight loss (86%) and loss of appetite (46%). The terms loss of weight and decreased appetite (51% and 34%, respectively) were often provided as synonyms of CC. Almost half (46%) of the participants reported diagnosing CC and beginning treatment if a patient experienced a weight loss of 10%. However, 48% of the participants would wait until weight loss was ?15% to diagnose CC and start treatment. HCPs also reported that 61%-77% of cancer patients do not receive any prescription medication for CC before Stage IV of disease is reached. Ability to promote weight gain was rated as the most important factor for selecting CC treatment. Key goals of treatment included ensuring that patients can cope with the cancer and treatment and have a QOL benefit. HCPs expressed desire for treatments with a more CC-specific mode of action and therapies that enhance QOL.These surveys underscore the need for increased awareness among HCPs of CC and its management.

SUBMITTER: Muscaritoli M

PROVIDER: S-EPMC5178142 | biostudies-other | 2016 Dec

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Perspectives of health care professionals on cancer cachexia: results from three global surveys.

Muscaritoli M M Rossi Fanelli F F Molfino A A

Annals of oncology : official journal of the European Society for Medical Oncology 20161017 12

<h4>Background</h4>Cachexia has a high prevalence in cancer patients and negatively impacts prognosis, quality of life (QOL), and tolerance/response to treatments. This study reports the results of three surveys designed to gain insights into cancer cachexia (CC) awareness, understanding, and treatment practices among health care professionals (HCPs).<h4>Methods</h4>Surveys were conducted globally among HCPs involved in CC management. Topics evaluated included definitions and synonyms of CC, dia ...[more]

PMID: 28007753

Similar Datasets

Project description:BACKGROUND:With the widespread use of mobile technologies, mobile information systems have become crucial tools in health care operations. Although the appropriate use of mobile health (mHealth) may result in major advances in expanding health care coverage (increasing decision-making speeds, managing chronic conditions, and providing suitable health care in emergencies), previous studies have argued that current mHealth research does not adequately evaluate mHealth interventions, and it does not provide sufficient evidence regarding the effects on health. OBJECTIVE:The aim of this study was to facilitate the widespread use of mHealth systems; an accurate evaluation of the systems from the users' perspective is essential after the implementation and use of the system in daily health care practices. This study extends the expectation-confirmation model by using characteristics of individuals, technology, and tasks to identify critical factors affecting mHealth continuance and performance from the perspective of health care professionals (HCPs). METHODS:A questionnaire survey was used to collect data from HCPs who were experienced in using mHealth systems of a Taiwanese teaching hospital. In total, 282 questionnaires were distributed, and 201 complete and valid questionnaires were returned, thus indicating a valid response rate of 71.3% (201/282). The collected data were analyzed using WarpPLS version 5.0 (ScriptWarp Systems). RESULTS:The results revealed that mHealth continuance (R2=0.522) was mainly affected by perceived usefulness, technology maturity, individual habits, task mobility, and user satisfaction, whereas individual performance (R2=0.492) was affected by mHealth continuance. In addition, user satisfaction (R2=0.548) was affected by confirmation and perceived usefulness of mHealth, whereas perceived usefulness (R2=0.521) was affected by confirmation. This implied that confirmation played a key role in affecting perceived usefulness and user satisfaction. Furthermore, the results showed that mHealth continuance positively affected individual performance. CONCLUSIONS:The identified critical factors influencing mHealth continuance and performance can be used as a useful assessment tool by hospitals that have implemented mHealth systems to facilitate the use and infusion of the systems. Furthermore, the results can help health care institutions that intend to introduce or develop mHealth applications to identify critical issues and effectively allocate limited resources to mHealth systems.

Project description:BackgroundArtificial intelligence (AI) is transforming the mental health care environment. AI tools are increasingly accessed by clients and service users. Mental health professionals must be prepared not only to use AI but also to have conversations about it when delivering care. Despite the potential for AI to enable more efficient and reliable and higher-quality care delivery, there is a persistent gap among mental health professionals in the adoption of AI.ObjectiveA needs assessment was conducted among mental health professionals to (1) understand the learning needs of the workforce and their attitudes toward AI and (2) inform the development of AI education curricula and knowledge translation products.MethodsA qualitative descriptive approach was taken to explore the needs of mental health professionals regarding their adoption of AI through semistructured interviews. To reach maximum variation sampling, mental health professionals (eg, psychiatrists, mental health nurses, educators, scientists, and social workers) in various settings across Ontario (eg, urban and rural, public and private sector, and clinical and research) were recruited.ResultsA total of 20 individuals were recruited. Participants included practitioners (9/20, 45% social workers and 1/20, 5% mental health nurses), educator scientists (5/20, 25% with dual roles as professors/lecturers and researchers), and practitioner scientists (3/20, 15% with dual roles as researchers and psychiatrists and 2/20, 10% with dual roles as researchers and mental health nurses). Four major themes emerged: (1) fostering practice change and building self-efficacy to integrate AI into patient care; (2) promoting system-level change to accelerate the adoption of AI in mental health; (3) addressing the importance of organizational readiness as a catalyst for AI adoption; and (4) ensuring that mental health professionals have the education, knowledge, and skills to harness AI in optimizing patient care.ConclusionsAI technologies are starting to emerge in mental health care. Although many digital tools, web-based services, and mobile apps are designed using AI algorithms, mental health professionals have generally been slower in the adoption of AI. As indicated by this study's findings, the implications are 3-fold. At the individual level, digital professionals must see the value in digitally compassionate tools that retain a humanistic approach to care. For mental health professionals, resistance toward AI adoption must be acknowledged through educational initiatives to raise awareness about the relevance, practicality, and benefits of AI. At the organizational level, digital professionals and leaders must collaborate on governance and funding structures to promote employee buy-in. At the societal level, digital and mental health professionals should collaborate in the creation of formal AI training programs specific to mental health to address knowledge gaps. This study promotes the design of relevant and sustainable education programs to support the adoption of AI within the mental health care sphere.

Project description:BackgroundAlthough the electronic health record system adoption rate has reached 96% in the United States, implementation and usage of health information exchange (HIE) is still lagging behind. Blockchain has come into the spotlight as a technology to solve this problem. However, there have been no studies assessing the perspectives of different stakeholders regarding blockchain-based patient-centered HIE.ObjectiveThe objective of this study was to analyze the awareness among patients, health care professionals, and information technology developers toward blockchain-based HIE, and compare their different perspectives related to the platform using a qualitative research methodology.MethodsIn this qualitative study, we applied grounded theory and the Promoting Action on Research Implementation in the Health Service (PARiHS) framework. We interviewed 7 patients, 7 physicians, and 7 developers, for a total of 21 interviewees.ResultsRegarding the leakage of health information, the patient group did not have concerns in contrast to the physician and developer groups. Physicians were particularly concerned about the fact that errors in the data cannot be easily fixed due to the nature of blockchain technology. Patients were not against the idea of providing information for clinical trials or research institutions. They wished to be provided with the results of clinical research rather than being compensated for providing data. The developers emphasized that blockchain must be technically mature before it can be applied to the health care scene, and standards of medical information to be exchanged must first be established.ConclusionsThe three groups' perceptions of blockchain were generally positive about the idea of patients having the control of sharing their own health information. However, they were skeptical about the cooperation among various institutions and implementation for data standardization in the establishment process, in addition to how the service will be employed in practice. Taking these factors into consideration during planning, development, and operation of a platform will contribute to establishing practical treatment plans and tracking in a more convenient manner for both patients and physicians. Furthermore, it will help expand the related research and health management industry based on blockchain.

Dataset Information

Perspectives of health care professionals on cancer cachexia: results from three global surveys.

Publications

Perspectives of health care professionals on cancer cachexia: results from three global surveys.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets