How do healthcare professionals respond to ethical challenges regarding information management? A review of empirical studies

Balancing confidentiality and care coordination: challenges in patient privacy

BACKGROUND

In the digital age, maintaining patient confidentiality while ensuring effective care coordination poses significant challenges for healthcare providers, particularly nurses.

AIM

To investigate the challenges and strategies associated with balancing patient confidentiality and effective care coordination in the digital age.

METHODS

A cross-sectional study was conducted in a general hospital in Egypt to collect data from 150 nurses across various departments with at least six months of experience in patient care. Data were collected using six tools: Demographic Form, HIPAA Compliance Checklist, Privacy Impact Assessment (PIA) Tool, Data Sharing Agreement (DSA) Framework, EHR Privacy and Security Assessment Tool, and NIST Cybersecurity Framework. Validity and Reliability were ensured through pilot testing and factor analysis.

RESULTS

Participants were primarily aged 31-40 years (45%), with 75% female and 60% staff nurses. High compliance was observed in the HIPAA Compliance Checklist, especially in Administrative Safeguards (3.8 ± 0.5), indicating strong management and training processes, with an overall score of 85 ± 10. The PIA Tool showed robust privacy management, with Project Descriptions scoring 4.5 ± 0.3 and a total score of 30 ± 3. The DSA Framework had a mean total score of 20 ± 2, with Data Protection Measures scoring highest at 4.0 ± 0.4. The EHR assessments revealed high scores in Access Controls (4.4 ± 0.3) and Data Integrity Measures (4.3 ± 0.3), with an overall score of 22 ± 1.5. The NIST Cybersecurity Framework had a total score of 18 ± 2, with the highest scores in Protect (3.8) and lower in Detect (3.6). Strong positive correlations were found between HIPAA Compliance and EHR Privacy (r = 0.70, p < 0.05) and NIST Cybersecurity (r = 0.55, p < 0.05), reflecting effective data protection practices.

CONCLUSION

The study suggests that continuous improvement in privacy practices among healthcare providers, through ongoing training and comprehensive privacy frameworks, is vital for enhancing patient confidentiality and supporting effective care coordination.

Providers' Competencies and Management Practices for Traditional Palliative Cancer Care Service Delivery in Kenya

Background

Many people in developing countries are struggling with chronic diseases yet traditional health services remain under-utilized in the quest for universal health care. Thousands patronize these outlets for care yet little is known about provider's competence and how these competencies inform palliative care decisions and practices. The study documented traditional health practitioners (THPs) competencies and practices for traditional palliative cancer care service delivery in Kenya.

Methods

This study utilized mixed-methods design and was undertaken in major towns across Kenya. A total of 201 Traditional health practitioners were purposely sampled, and interviewed. Five in-depth interviews and 6 focus group discussions were conducted. Quantitative data were analyzed using SPSSv22 while thematic and discourse analysis was carried out for qualitative data.

Results

Majority (92.7%) of the THPs provided general traditional health services. Nearly half of the respondents (47.7%, n = 92) stated that they had received their knowledge and abilities through divine gifting, 71 (36.8%) lineage, 61 (31.6%) apprenticeship, and 39 (20.2%) formal study. Palliative care was determined by patient state and followed consultation with caregivers for 165 (85.5%) of respondents. For 160 respondents (83%), management practices involved a mix of patient examination, conventional medical tests, herbal medicine administration, follow-up or referral. Positive feedback consisted of symptom reduction and function recovery.

Conclusion

Core competencies identified include: knowledge acquisition and specialization, assessment, diagnosis and disclosure, decision making, treatment, follow-up, and referral. Traditional palliative care providers share common health-related beliefs, practices and abilities that influence how they approach and make decisions regarding the health management of their patients, despite marked ethnic diversity. The shared pathways offer a chance to develop a cogent traditional palliative care service delivery model and health policy framework to promote its integration within the health workforce. The leading unmet requirements are knowledge of intellectual property rights, disclosure frameworks, and ethical regulation principles.

Smart healthcare: A prospective future medical approach for COVID-19

COVID-19 has greatly affected human life for over 3 years. In this review, we focus on smart healthcare solutions that address major requirements for coping with the COVID-19 pandemic, including (1) the continuous monitoring of severe acute respiratory syndrome coronavirus 2, (2) patient stratification with distinct short-term outcomes (eg, mild or severe diseases) and long-term outcomes (eg, long COVID), and (3) adherence to medication and treatments for patients with COVID-19. Smart healthcare often utilizes medical artificial intelligence (AI) and cloud computing and integrates cutting-edge biological and optoelectronic techniques. These are valuable technologies for addressing the unmet needs in the management of COVID. By leveraging deep learning/machine learning capabilities and big data, medical AI can perform precise prognosis predictions and provide reliable suggestions for physicians' decision-making. Through the assistance of the Internet of Medical Things, which encompasses wearable devices, smartphone apps, internet-based drug delivery systems, and telemedicine technologies, the status of mild cases can be continuously monitored and medications provided at home without the need for hospital care. In cases that develop into severe cases, emergency feedback can be provided through the hospital for rapid treatment. Smart healthcare can possibly prevent the development of severe COVID-19 cases and therefore lower the burden on intensive care units.

Defining ethical challenge(s) in healthcare research: a rapid review

BACKGROUND

Despite its ubiquity in academic research, the phrase 'ethical challenge(s)' appears to lack an agreed definition. A lack of a definition risks introducing confusion or avoidable bias. Conceptual clarity is a key component of research, both theoretical and empirical. Using a rapid review methodology, we sought to review definitions of 'ethical challenge(s)' and closely related terms as used in current healthcare research literature.

METHODS

Rapid review to identify peer-reviewed reports examining 'ethical challenge(s)' in any context, extracting data on definitions of 'ethical challenge(s)' in use, and synonymous use of closely related terms in the general manuscript text. Data were analysed using content analysis. Four databases (MEDLINE, Philosopher's Index, EMBASE, CINAHL) were searched from April 2016 to April 2021.

RESULTS

393 records were screened, with 72 studies eligible and included: 53 empirical studies, 17 structured reviews and 2 review protocols. 12/72 (17%) contained an explicit definition of 'ethical challenge(s), two of which were shared, resulting in 11 unique definitions. Within these 11 definitions, four approaches were identified: definition through concepts; reference to moral conflict, moral uncertainty or difficult choices; definition by participants; and challenges linked to emotional or moral distress. Each definition contained one or more of these approaches, but none contained all four. 68/72 (94%) included studies used terms closely related to synonymously refer to 'ethical challenge(s)' within their manuscript text, with 32 different terms identified and between one and eight different terms mentioned per study.

CONCLUSIONS

Only 12/72 studies contained an explicit definition of 'ethical challenge(s)', with significant variety in scope and complexity. This variation risks confusion and biasing data analysis and results, reducing confidence in research findings. Further work on establishing acceptable definitional content is needed to inform future bioethics research.