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1 – 10 of over 2000Ghasem Abedi, Ghahraman Mahmoodi, Roya Malekzadeh, Zeinab Khodaei, Yibeltal Siraneh Belete and Edris Hasanpoor
The regulation defines patients’ rights as a reflection of fundamental human rights in the field of medicine and incorporates all elements of patients’ rights accepted in…
Abstract
Purpose
The regulation defines patients’ rights as a reflection of fundamental human rights in the field of medicine and incorporates all elements of patients’ rights accepted in international texts. Hence, the purpose of this paper is to investigate the relationship between patients’ safety, medical errors and patients’ safety rights with patients’ security feeling in selected hospitals of Mazandaran Province, Iran.
Design/methodology/approach
This descriptive cross-sectional study was conducted in selected hospitals of Mazandaran Province in public, social and private hospitals in 2016. In total, 1,083 patients were randomly selected for the study. The developed tool (questionnaire) was used for data collection. Questionnaire validity was verified through experts and its reliability was confirmed by Cronbach’s α coefficient (95 percent). Data were analyzed through multiple regressions by SPSS software (version 21).
Findings
The findings of this paper showed that the mean (standard deviation) medical error, patient’s safety, patient’s rights and patient’s security feeling were 2.50±0.61, 2.22±0.67, 2.11±0.68 and 2.73±0.63, respectively. Correlation testing results showed that medical error, patient’s safety and patient’s rights simultaneously had a significant relation with patient’s security feeling in the selected hospitals (p<0.05).
Originality/value
A simultaneous correlation between patient’s safety, patient’s rights and medical errors with patient’s security feeling in social security hospitals was higher than other hospitals. Hence, the authorities and officials of hospitals and healthcare centers were advised to make effective attempts to perceive the patient’s safety, medical errors and patient’s rights to improve the patient’s security feeling and calmness and also to make better decisions to promote the healthcare and therapeutic services.
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Agneta Schröder, Bodil Wilde Larsson and Gerd Ahlström
The principal aim of this paper is to develop an instrument to measure quality of care in the psychiatric setting from an in‐patient perspective and to describe quality of care by…
Abstract
Purpose
The principal aim of this paper is to develop an instrument to measure quality of care in the psychiatric setting from an in‐patient perspective and to describe quality of care by means of this instrument. A further aim is to investigate the influence of background variables and expectations on the experience of care.
Design/methodology/approach
The instrument “Quality in psychiatric care” consists of two parts: one for measuring the patient's expectations regarding quality of care, the other for measuring his or her experiences regarding it. The instrument was derived from an earlier interview study of patients' perceptions of the quality of psychiatric care. A sample of 116 patients from eight in‐patient wards in Sweden participated in the present study.
Findings
Results indicate a generally high quality of care. Experienced quality of care was significantly lower, however, than expectations in all the dimensions of the instrument: total dimension, dignity, security, participation, recovery and environment. Patients who perceived that the time of discharge was consistent with the stage of their illness experienced significantly higher Recovery; patients with good psychiatric health experienced this too, but also significantly higher participation.
Research limitations/implications
This new instrument needs to be further tested before the psychometric properties can be established.
Originality/value
The value of the research is that instruments for measuring the quality of in‐patient psychiatric care from the patient's perspective and with a theoretical foundation are less common.
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Health information exchange (HIE) initiatives utilize sharing mechanisms through which health information is mostly transmitted without a patient's close supervision; thus…
Abstract
Purpose
Health information exchange (HIE) initiatives utilize sharing mechanisms through which health information is mostly transmitted without a patient's close supervision; thus, patient trust in the HIE is the core in this setting. Existing technology acceptance theories mainly consider cognitive beliefs resulting in adoption behavior. The study argues that existing theories should be expanded to cover not only cognitive beliefs but also the emotion provoked by the sharing nature of the technology. Based on the theory of reasoned action, the technology adoption literature, and the trust literature, we theoretically explain and empirically test the impact of perceived transparency of privacy policy on cognitive trust and emotional trust in HIEs. Moreover, the study analyzes the effects of cognitive trust and emotional trust on the intention to opt in to HIEs and willingness to disclose health information.
Design/methodology/approach
An online survey was conducted using data from individuals who were aware of HIEs through experience with at least one provider participating in an HIE network. Data were collected from a wide range of adult population groups in the United States.
Findings
The structural equation modeling analysis results provide empirical support for the proposed model. The model highlights the strategic role of the perceived transparency of the privacy policy in building trust in HIEs. When patients know more about HIE security measures, sharing procedures, and privacy terms, they feel more in control, more assured, and less at risk. The results also show that patient trust in HIEs may take the forms of intention to opt in to an HIE and willingness to disclose health information exchanged through HIE networks.
Originality/value
The findings of this study should be of interest to both academics and practitioners. The research highlights the importance of developing and using a transparent privacy policy in the diffusion of HIEs. The findings provide a deep understanding of dimensions of HIE privacy policy that should be addressed by health-care organizations to exchange personal health information in a secure and private manner.
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Pouyan Esmaeilzadeh, Spurthy Dharanikota and Tala Mirzaei
Patient-centric exchanges, a major type of Health Information Exchange (HIE), empower patients to aggregate and manage their health information. This exchange model helps patients…
Abstract
Purpose
Patient-centric exchanges, a major type of Health Information Exchange (HIE), empower patients to aggregate and manage their health information. This exchange model helps patients access, modify and share their medical information with multiple healthcare organizations. Although existing studies examine patient engagement, more research is required to investigate patients' attitudes and willingness to play an active role in patient-centered information exchange. The study's main objective is to develop a model based on the belief-attitude-intention paradigm to empirically examine the effects of patients' attitudes toward engagement in care on their willingness to participate in patient-centric HIE.
Design/methodology/approach
The authors conducted an online survey study to identify the antecedents and consequences of patients' attitudes toward engagement in care. To empirically test the research model, the authors collected data from a national sample (n = 357) of individuals in the United States. The data were analyzed using structural equation modeling (SEM).
Findings
The proposed model categorizes the antecedents to patients' attitudes toward engagement in patient-related and healthcare system factors. The results show that patient-related factors (perceived health literacy and perceived coping ability) and health system factors (perceived experience with the healthcare organization and perceived patient-provider interaction) significantly shape patient attitude toward care management engagement. The results indicate that patients' attitudes toward engaging in their healthcare significantly contribute to their willingness to participate in medical information sharing through patient-centric HIE initiatives. Moreover, the authors’ findings also demonstrate that the link between patient engagement and willingness to participate in HIE is stronger for individuals who perceive lower levels of privacy and security concerns.
Originality/value
The authors validate the proposed model explaining patients' perceptions about their characteristics and the healthcare system significantly influence their attitude toward engaging in their care. This study also suggests that patients' favorable attitude toward engagement can bring patient-centric HIE efforts onto a path to success. The authors’ research attempts to shed light on the importance of patients' roles in adopting patient-centric HIE initiatives. Theoretical and practical contributions of this study are noticeable since they could result in a deeper understanding of the concept of patient engagement and how it may affect healthcare services in an evolving digital world. The authors’ findings can help healthcare organizations provide public citizen-centric services by introducing user-oriented approaches in healthcare delivery systems.
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Alexander Challinor, Kathryn Naylor and Patrick Verstreken
Self-harm, including death from suicide, remains a significant public health challenge. The prison population is known to be a high-risk group for self-harm and suicide. The…
Abstract
Purpose
Self-harm, including death from suicide, remains a significant public health challenge. The prison population is known to be a high-risk group for self-harm and suicide. The purpose of this study is to explore the trends in the frequency of self-harm over the course of the COVID-19 pandemic within a high-secure hospital. The authors hypothesised that the pandemic could adversely affect the mental health of patients, which could increase the rates of self-harm. Reasons for changes in the frequency of self-harm and the strategies used in response to the pandemic were also investigated.
Design/methodology/approach
This paper encompasses findings from a quality improvement project that investigated self-harming behaviours from February 2020 to February 2021 in a high-secure psychiatric hospital. Incidents of self-harm were recorded based on the hospital’s ward structure. Data was collected on the incidence of self-harm rates over the COVID-19 pandemic, with a focus on how the pandemic may have had an effect on self-harm.
Findings
This paper found an increase in the incidents of self-harm during the initial stages of the pandemic. The first national lockdown period yielded a rise in self-harm incidents from pre-COVID levels. The frequency of self-harm reduced following the first lockdown and returned to pre-COVID levels. The authors explored the psychological effects of COVID, isolation, interpersonal dynamics and changes in the delivery of care as reasons for these trends.
Practical implications
This study demonstrates the substantial challenges of the COVID-19 pandemic to secure psychiatric services. Having an awareness of how the pandemic can impact on self-harm is important, as it allows the correct balance of restriction of our patients’ liberty to a degree deemed necessary to control the pandemic and the delivery of effective patient care. The key clinical implications include the importance of direct face-to-face patient contact, effective communication, therapeutic interventions and activities, the psychological impact of quarantine and the influence the pandemic can have on an individual’s function of self-harm.
Originality/value
This paper is the first, to the authors’ knowledge, to explore the impact of COVID-19 in a high-security psychiatric hospital. The authors also explore possible explanations for the changes in the trends of self-harm and include the consideration of strategies for improving the prevention and management of self-harm in high-secure settings during a pandemic.
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Agneta Schröder, Bodil Wilde Larsson, Gerd Ahlström and Lars‐Olov Lundqvist
The purpose of this paper is to test the psychometric properties and dimensionality of a new instrument, quality in psychiatric care (QPC), and to describe and compare quality of…
Abstract
Purpose
The purpose of this paper is to test the psychometric properties and dimensionality of a new instrument, quality in psychiatric care (QPC), and to describe and compare quality of care among in‐patients as measured by this instrument.
Design/methodology/approach
The instrument quality in psychiatric care measures patients' experiences regarding quality of care. The instrument is based on a definition of quality of care from the patients' perspective. A sample of 265 in‐patients at eight general psychiatric wards in Sweden was assessed.
Findings
Exploratory factor analysis revealed that the original five‐dimensional 69‐item QPC was better with six dimensions and reduced to 30 items, hereinafter denoted quality in psychiatric care‐in‐patients (QPC‐IP) with retained internal consistency. The patients' ratings of quality of care were generally high; the highest rating was for quality of encounter and the lowest for participation.
Research limitations/implications
Analysis of the dropouts was not possible because of incomplete registrations at the wards.
Practical implications
QPC‐IP is a simple, inexpensive and quick way to evaluate quality of care and thus contributes to health care improvement in the field of psychiatry.
Originality/value
The new 30 items instrument, QPC‐IP includes important aspects of patients' perceptions of quality of care. The QPC‐IP is psychometrically adequate and thus recommended for evaluating patients' experiences of the quality of psychiatric care.
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J Aruna Santhi and T Vijaya Saradhi
This paper tactics to implement the attack detection in medical Internet of things (IoT) devices using improved deep learning architecture for accomplishing the concept bring your…
Abstract
Purpose
This paper tactics to implement the attack detection in medical Internet of things (IoT) devices using improved deep learning architecture for accomplishing the concept bring your own device (BYOD). Here, a simulation-based hospital environment is modeled where many IoT devices or medical equipment are communicated with each other. The node or the device, which is creating the attack are recognized with the support of attribute collection. The dataset pertaining to the attack detection in medical IoT is gathered from each node that is considered as features. These features are subjected to a deep belief network (DBN), which is a part of deep learning algorithm. Despite the existing DBN, the number of hidden neurons of DBN is tuned or optimized correctly with the help of a hybrid meta-heuristic algorithm by merging grasshopper optimization algorithm (GOA) and spider monkey optimization (SMO) in order to enhance the accuracy of detection. The hybrid algorithm is termed as local leader phase-based GOA (LLP-GOA). The DBN is used to train the nodes by creating the data library with attack details, thus maintaining accurate detection during testing.
Design/methodology/approach
This paper has presented novel attack detection in medical IoT devices using improved deep learning architecture as BYOD. With this, this paper aims to show the high convergence and better performance in detecting attacks in the hospital network.
Findings
From the analysis, the overall performance analysis of the proposed LLP-GOA-based DBN in terms of accuracy was 0.25% better than particle swarm optimization (PSO)-DBN, 0.15% enhanced than grey wolf algorithm (GWO)-DBN, 0.26% enhanced than SMO-DBN and 0.43% enhanced than GOA-DBN. Similarly, the accuracy of the proposed LLP-GOA-DBN model was 13% better than support vector machine (SVM), 5.4% enhanced than k-nearest neighbor (KNN), 8.7% finer than neural network (NN) and 3.5% enhanced than DBN.
Originality/value
This paper adopts a hybrid algorithm termed as LLP-GOA for the accurate detection of attacks in medical IoT for improving the enhanced security in healthcare sector using the optimized deep learning. This is the first work which utilizes LLP-GOA algorithm for improving the performance of DBN for enhancing the security in the healthcare sector.
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Rajesh Kumar Singh, Saurabh Agrawal, Abhishek Sahu and Yigit Kazancoglu
The proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of…
Abstract
Purpose
The proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.
Design/methodology/approach
Fora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.
Findings
BD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.
Research limitations/implications
The proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.
Originality/value
There are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.
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Jawahitha Sarabdeen and Immanuel Azaad Moonesar
The move toward e-health care in various countries is envisaged to reduce the cost of provision of health care, improve the quality of care and reduce medical errors. The most…
Abstract
Purpose
The move toward e-health care in various countries is envisaged to reduce the cost of provision of health care, improve the quality of care and reduce medical errors. The most significant problem is the protection of patients’ data privacy. If the patients are reluctant or refuse to participate in health care system due to lack of privacy laws and regulations, the benefit of the full-fledged e-health care system cannot be materialized. The purpose of this paper is to investigate the available e-health data privacy protection laws and the perception of the people using the e-health care facilities.
Design/methodology/approach
The researchers used content analysis to analyze the availability and comprehensive nature of the laws and regulations. The researchers also used survey method. Participants in the study comprised of health care professionals (n=46) and health care users (n=187) who are based in the Dubai, United Arab Emirates. The researchers applied descriptive statistics mechanisms and correlational analysis to analyze the data in the survey.
Findings
The content analysis revealed that the available health data protection laws are limited in scope. The survey results, however, showed that the respondents felt that they could trust the e-health services systems offered in the UAE as the data collected is protected, the rights are not violated. The research also revealed that there was no significance difference between the nationality and the privacy data statements. All the nationality agreed that there is protection in place for the protection of e-health data. There was no significance difference between the demographic data sets and the many data protection principles.
Originality/value
The findings on the users’ perception could help to evaluate the success in realizing current strategies and an action plan of benchmarking could be introduced.
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