Healthcare team resilience during COVID-19: a qualitative study

BACKGROUND

Resilience, in the field of Resilience Engineering, has been identified as the ability to maintain the safety and the performance of healthcare systems and is aligned with the resilience potentials of anticipation, monitoring, adaptation, and learning. In early 2020, the COVID-19 pandemic challenged the resilience of US healthcare systems due to the lack of equipment, supply interruptions, and a shortage of personnel. The purpose of this qualitative research was to describe resilience in the healthcare team during the COVID-19 pandemic with the healthcare team situated as a cognizant, singular source of knowledge and defined by its collective identity, purpose, competence, and actions, versus the resilience of an individual or an organization.

METHODS

We developed a descriptive model which considered the healthcare team as a unified cognizant entity within a system designed for safe patient care. This model combined elements from the Patient Systems Engineering Initiative for Patient Safety (SEIPS) and the Advanced Team Decision Making (ADTM) models. Using a qualitative descriptive design and guided by our adapted model, we conducted individual interviews with healthcare team members across the United States. Data were analyzed using thematic analysis and extracted codes were organized within the adapted model framework.

RESULTS

Five themes were identified from the interviews with acute care professionals across the US (N = 22): teamwork in a pressure cooker, consistent with working in a high stress environment; healthcare team cohesion, applying past lessons to present challenges, congruent with transferring past skills to current situations; knowledge gaps, and altruistic behaviors, aligned with sense of duty and personal responsibility to the team. Participants' described how their ability to adapt to their environment was negatively impacted by uncertainty, inconsistent communication of information, and emotions of anxiety, fear, frustration, and stress. Cohesion with co-workers, transferability of skills, and altruistic behavior enhanced healthcare team performance.

CONCLUSION

Working within the extreme unprecedented circumstances of COVID-19 affected the ability of the healthcare team to anticipate and adapt to the rapidly changing environment. Both team cohesion and altruistic behavior promoted resilience. Our research contributes to a growing understanding of the importance of resilience in the healthcare team. And provides a bridge between individual and organizational resilience.

Trends in Avoidable Mortality in Kazakhstan From 2015 to 2021

BACKGROUND

The health system performance assessment is a challenging process for decision-makers. In case of Kazakhstan's healthcare system, the calculation of avoidable mortality, which has been underutilized to date, could serve as an additional tool to prioritize areas for improvement. Therefore, the aim of the study is to analyse avoidable mortality in Kazakhstan.

METHODS

The data was retrieved from the Bureau of National Statistics, Kazakhstan. It covers population data by age, mortality rates from disease groups based on the Joint OECD/Eurostat classification of preventable and treatable causes of mortality. The data spans from 2015 to 2021, categorized by gender and 5-year age groups (0, 1-4, 5-9, ..., 70-74). Standardization was performed using the 2015 OECD standard population. We used joinpoint regression analysis to calculate the average annual percentage change.

RESULTS

From 2015 to 2019, the annual percentage change in avoidable mortality per 100000 population was -3.8 (-5.7 to -1.8), and from 2019 to 2021 it increased by 17.6 (11.3 to 24.3). Males exhibited higher avoidable mortality rates compared to females. The preventable mortality rate was consistently higher than the treatable mortality. Both preventable and treatable mortality decreased from 2015 to 2019, with preventable mortality reaching 272.17 before rising to 379.23 per 100000 population in 2021. Between 2015 and 2021, treatable mortality rates increased from 179.3 (176.93- 181.67) to 205.45 (203.08-207.81) per 100000 population.

CONCLUSION

In Kazakhstan, the leading causes of avoidable mortality were circulatory diseases, respiratory diseases, and cancer. To achieve the goals of Universal Health Coverage and improve the overall population health, there is an urgent need to amend the healthcare system and reduce avoidable mortality. While it is important to acknowledge the influence of COVID-19 on these trends, our study's focus on avoidable mortality provides valuable insights that complement the understanding of pandemic-related effects.

Burnout and patient safety culture assessment in a secondary care hospital

Objectives

To identify employee burn-out and assess its impact on patient safety culture.

Methods

This cross-sectional study was carried out amongst healthcare providers (HCP) of Tehsil Head Quarter Manawan Hospital, Lahore from April 1st till 30th, 2023, who had been working for at least one year and directly involved in patient care. Two questionnaires were used; the Maslach Burnout Inventory (MBI) to assess level of burnout, and Agency for Healthcare Research and Quality (AHRQ) patient safety culture survey. After obtaining informed consent, 59 participants were enrolled in this study.

Results

High degree of occupational exhaustion (OE) 42.9% was seen amongst doctors and 57.1% had low degree of personal accomplishment (PA) compared to all other health care providers. Significant association was observed between two sub-scales of MBI (p<0.05). No significant association was observed in working hours, designated positions and burnout (p>0.05). Statistically weak correlation existed between burnout and patient safety culture (r=0.075, p=0.580). Awareness on incident reporting was in 43.3% of participants; of which 31% had reported at least one event in last 12 months. Overall, 76% employees consider their work unit reliable for providing safe patient care.

Conclusions

Burnout was observed in employees, particularly high degree in attending physicians. However, team work, high level of personal accomplishment and incident reporting culture, served as protective factors for patient safety and safe working environment and culture.

Does examining job market awareness among medical students provide insight into the specialty selection process?

BACKGROUND

The future composition of a country's physician workforce depends on medical students' choices of specialties. Students' familiarity with the job market (the healthcare system) they are about to enter and the influence job market conditions have on their choices has not been well explored. This study focuses on whether and how the healthcare system's employment landscape is taken into consideration by medical students and whether this facet adds information about the specialty selection process.

METHODS

Fifth-year medical students completed a questionnaire querying their knowledge and perceptions of the national healthcare system, selection criteria for choosing a specialty and a post-residency work position. Data were analyzed with two-tailed Student's t-tests and multivariable regression analysis.

RESULTS

The questionnaire was completed by 242 students (49% women). Forty per cent were interested in a specialty where it is 'easy to find work' and 64% in a specialty that 'provides job security'. Only 12% were attracted to specialties with empty positions due to a workforce shortage. A high salary was considered an important selection criterion by 45% of students, who were also not deterred by specialties with surplus workforce, especially, if accompanied by high salaries or controllable lifestyles. Only 17% thought it would be easy to find a residency in any hospital in the specialty they chose, reflecting the low rate (3%) of positive responses to the statement that 'there are sufficient residency positions in all specialties'.

CONCLUSIONS

This study demonstrated the utility of querying medical students about their market awareness when investigating the specialty selection process. Students' poor rating of selection criteria, such as specialties with ease in finding jobs because they are suffering workforce shortages and have empty positions, provide insights and concerns for healthcare leaders. It should aid them in approaching the challenge of attracting students to specialties with workforce shortfalls.KEY MESSAGESThis study demonstrated the feasibility and potential value of adding queries about market awareness when investigating the medical student specialty selection process.Medical students were more interested in a specialty that provides job security than one where it is easy to find work.It could be useful for the healthcare leadership and medical educators in all countries to learn what medical students know about their national healthcare system and whether they need to add more healthcare delivery and system subjects to their curricula.

Using medical storytelling to communicate problems and solutions in the low back pain conundrum: an evidence-based tale of twins

OBJECTIVES

Low back pain (LBP) is the number one cause of disability world-wide. It is also the most expensive area in healthcare. Patient-centered innovations are needed. This paper uses medical storytelling to illustrate the common problems that often lead to unnecessary suffering for patients, and costs to society. We present innovative solutions, including narrative interventions.

METHODS

We use medical storytelling to present a scenario in which hypothetical twin patients with identical LBP episodes enter the healthcare system, with one twin managed in an appropriate manner, and the other inappropriately.

RESULTS

One twin becomes a chronic LBP sufferer, while the other experiences quick resolution, despite identical conditions. Recommendations are made to de-implement inappropriate action and to implement a more productive approach.

CONCLUSIONS

Many patients with LBP descend into chronic pain. This is rarely inevitable based on clinical factors. Much of chronic LBP results from how the condition is handled within the healthcare system. Medical narrative may be one innovation to illustrate the problem of current LBP management, recommend solutions and foster changes in clinical behavior.

PRACTICAL IMPLICATIONS

The starkly different outcomes for each identical twin are illustrated. Recommendations are made for reframing the situation to de-implement the inappropriate and to implement a more appropriate approach.

Understanding Causes of Inferior Outcomes in Adolescents and Young Adults With Cancer

Individuals diagnosed with cancer as adolescents and young adults (AYAs; ages 15-39 years) face unique vulnerabilities. Compared with individuals diagnosed when younger (≤14 years) or older (≥40 years), AYAs have not seen the same improvement in survival. Furthermore, they sit at a complex moment of social, emotional, and cognitive development, and have a unique interface with the healthcare system. With these observations, NCI prioritized addressing the unique vulnerabilities among AYAs with cancer, and NCCN developed guidelines regarding optimal AYA cancer care. Improvements in certain locales have been seen in the wake of this focus on AYAs, suggesting that continuing to consider AYA outcomes in the context of their specific needs is critical as we strive toward additional improvements. However, it is key to consider the drivers of these outcomes to continue this trajectory. This review presents a holistic conceptual model that includes factors that influence outcomes among AYAs with cancer, including domains in these levels that influence both clinical outcomes (such as relapse and survival) and health-related quality of life (HRQoL). These include domains at the patient level, such as social constructs (race/ethnicity, socioeconomic status), behavior (adherence, risk-taking), biologic characteristics (cancer biology, host genetics), medical treatment (treatment regimen, risk-based survivorship care), and treatment-related toxicities. The model also includes domains at the system level, which include treatment location (NCI designation, facility model, AYA program presence), clinical trial enrollment, transdisciplinary communication, fertility preservation, and psychosocial support. Recognizing these multiple factors at the level of the individual and the healthcare system influence AYA outcomes (from HRQoL to survival), it is key not only to consider patient-level interventions and development of novel cancer agents but also to develop systems-level interventions that can be executed in parallel. In this way, the impact can be expanded to a vast number of AYAs.

The fragile healthcare system in Lebanon: sounding the alarm about its possible collapse

Lebanon is currently facing a complex and multifaceted healthcare crisis. The country has been grappling with a severe financial crisis since 2019, which has been compounded by the social unrest, the devastating Beirut blast in 2020, and the ongoing coronavirus pandemic. Additionally, many hospitals in Lebanon are facing significant difficulties following the devaluation of the Lebanese currency, which has made it difficult for them to purchase necessary medical supplies and equipment. This report aims to examine the difficulties faced by hospitals in Lebanon due to these various factors, and to discuss potential solutions to address the crisis.

FHIR Based ContSys Ontology to Enable Continuity of Care Data Interoperability

In the midst of a global pandemic, perspectives on how digital can enhance healthcare service delivery and workflow to address the global crisis is underway. Action plans collating existing digital transformation programs are being scrutinized to set in place core infrastructure and foundations for sustainable healthcare solutions. Reforming health and social care to personalize the home care setting can for example assist in avoiding treatment in a crowed acute hospital setting and improve the experience and impact on both health care professionals and service users alike. In this information intensive domain addressing the interoperability challenge through standards based roadmaps is the lynchpin to enable health and social care services to connect effectively. Thus facilitating safe and trustworthy data workflow from one healthcare systems provider to another. In this paper we showcase a methodology on how we can extract, transform and load data in a semi-automated process using a Common Semantic Standardized Data Model (CSSDM) to generate personalized healthcare knowledge graph (KG). CSSDM is based on formal ontology of ISO 13940:2015 ContSys for conceptual grounding and FHIR based specification to accommodate structural attributes to generate KG. CSSDM we suggest enables data harmonization and data linking. The goal of CSSDM is to offer an alternative pathway to speak about interoperability by supporting a different kind of collaboration between a company creating a health information system and a cloud enabled health service. This pathway of communication provides access to multiple stakeholders for sharing high quality data and information.

COVID-19, Vaccination, and Conspiracies: A Micro-Level Qualitative Study in Islamabad, Pakistan

Although vaccination is the only hope to fight against COVID-19, existing vaccine hesitancy is a thought-provoking phenomenon. Significantly, vaccine hesitancy is worsening the situation in Pakistan, leading to an increased number of COVID cases. In this context, this study aims to examine people's perceptions and attitudes towards vaccination. Here the focus was on determining the factors causing disease hesitancy among the masses. The researchers randomly selected a sample of n=17 individuals and gathered data by using telephone interviews and assessed data by using the Interpretive Phenomenological Analysis (IPA) approach. Results revealed that the increased vaccine hesitancy is due to misinformation, conspiracies, myths, and rumors about the side effects of the vaccination. It was also notable that the participants indicated digital media as the primary source of information, showing a potential relationship between social media and misinformation. Also, an intense uncertainty about the healthcare system in Pakistan is hindering the efforts to sustain herd immunity. Thus, due to several myths, rumors, and distrust of the healthcare system, vaccine hesitancy is halting the country's ability to overcome the COVID-19 outbreak. Misinformation is vigorously circulating due to ease of access to different communication platforms, instilling fear of presumed side effects. Hence, the researchers suggest some practical considerations for the government, healthcare workers, and media platforms to counteract the misinformation and increase vaccine acceptance among the masses.

Developing Modern System in Healthcare to Detect Covid 19 Based on Internet of Things

In this paper, a medical platform has architecture that depends on middleware and database supports people with Coronavirus, and this platform mainly relies on three users. The first person is the administrator, who is separated into two groups of users: the doctor and the patient. The doctor has an app that questions through the patient so he knows the patient that is being visited and extracts the health identity from him, and he questions the patient for sending him an OTP in the event that the patient does not have a mobile screen or an Internet connection. Alternatively, if QR asks him if his laptop is smart and wired to the Internet, the person will be able to access the system after the doctor has examined them. The patient will examine himself through the devices he has, and the system will provide him with the results of his doctor. The doctor can write a prescription every time he sends new readings. If the prescription is correct, then the patient can keep it and increase the dose. Doctors will work on the prescription console that sends the prescription for cloud authentication and obtain an encrypted QR that will then be issued to the recipient of the drug. The patient has the privilege of studying medication details via the recipient's app. The privilege of viewing QR encrypted cloud data is for life. The drug issuing outlet can decode and issue the drug only as prescribed until the expiration date of the QR. The scheme is designed to promote and provide access to care facilities for both patients and physicians, and it complies with General Data Protection Regulation (GDPR).

Security Requirements of Internet of Things-Based Healthcare System: a Survey Study

Introduction:

Internet of Things (IoT), which provides smart services and remote monitoring across healthcare systems according to a set of interconnected networks and devices, is a revolutionary technology in this domain. Due to its nature to sensitive and confidential information of patients, ensuring security is a critical issue in the development of IoT-based healthcare system.

Aim:

Our purpose was to identify the features and concepts associated with security requirements of IoT in healthcare system.

Methods:

A survey study on security requirements of IoT in healthcare system was conducted. Four digital databases (Web of Science, Scopus, PubMed and IEEE) were searched from 2005 to September 2019. Moreover, we followed international standards and accredited guidelines containing security requirements in cyber space.

Results:

We identified two main groups of security requirements including cyber security and cyber resiliency. Cyber security requirements are divided into two parts: CIA Triad (three features) and non-CIA (seven features). Six major features for cyber resiliency requirements including reliability, safety, maintainability, survivability, performability and information security (cover CIA triad such as availability, confidentiality and integrity) were identified.

Conclusion:

Both conventional (cyber security) and novel (cyber resiliency) requirements should be taken into consideration in order to achieve the trustworthiness level in IoT-based healthcare system.

Defining and Measuring the Affordability of New Medicines: A Systematic Review

BACKGROUND

In many healthcare systems, affordability concerns can lead to restrictions on the use of expensive efficacious therapies. However, there does not appear to be any consensus as to the terminology used to describe affordability, or the thresholds used to determine whether new drugs are affordable.

OBJECTIVES

The aim of this systematic review was to investigate how affordability is defined and measured in healthcare.

METHODS

MEDLINE, EMBASE and EconLit databases (2005-July 2016) were searched using terms covering affordability and budget impact, combined with definitions, thresholds and restrictions, to identify articles describing a definition of affordability with respect to new medicines. Additional definitions were identified through citation searching, and through manual searches of European health technology assessment body websites.

RESULTS

In total, 27 definitions were included in the review. Of these, five definitions described affordability in terms of the value of a product; seven considered affordability within the context of healthcare system budgets; and 15 addressed whether products are affordable in a given country based on economic factors. However, there was little in the literature to indicate that the price of medicines is considered alongside both their value to individual patients and their budget impact at a population level.

CONCLUSIONS

Current methods of assessing affordability in healthcare may be limited by their focus on budget impact. A more effective approach may involve a broader perspective than is currently described in the literature, to consider the long-term benefits of a therapy and cost savings elsewhere in the healthcare system, as well as cooperation between healthcare payers and the pharmaceutical industry to develop financing models that support sustainability as well as innovation.

Determinants of life expectancy in eastern mediterranean region: a health production function

BACKGROUND

Determinants of health or health production function in health economics literature constitute noticeable issues in health promotion. This study aimed at estimating a health production function for East Mediterranean Region (EMR) based on the Grossman theoretical model.

METHODS

This ecological study was performed using the econometric methods. The panel data model was used in order to determine the relationship between life expectancy and socioeconomic factors. The data for 21 EMR countries between 1995 and 2007 were used. Fixed-effect-model was employed to estimate the parameters based on Hausman test.

RESULTS

In estimating the health production function, factors such as income per capita (β=0.05, P<0.001), education index (β=0.07, P<0.001), food availability (β=0.01, P<0.001), level of urbanisation (β=0.10, P<0.001), and employment ratio (β=0.11, P<0.001) were specified as determinants of health status, proxied by life expectancy at birth. A notable result was the elasticity of life expectancy with respect to the employment rate and its significance level was different between males (β=0.13, P<0.001) and females (β=0.08, P>0.001).

CONCLUSION

In order to improve the health status in EMR countries, health policymakers should focus on the factors which lie outside the healthcare system. These factors are mainly associated with economic growth and development level. Thus, the economic stabilisation policies with the aim of increasing the productivity, economic growth, and reducing unemployment play significant roles in the health status of the people of the region.

The Regional Healthcare Ecosystem Analyst (RHEA): a simulation modeling tool to assist infectious disease control in a health system

OBJECTIVE

As healthcare systems continue to expand and interconnect with each other through patient sharing, administrators, policy makers, infection control specialists, and other decision makers may have to take account of the entire healthcare 'ecosystem' in infection control.

MATERIALS AND METHODS

We developed a software tool, the Regional Healthcare Ecosystem Analyst (RHEA), that can accept user-inputted data to rapidly create a detailed agent-based simulation model (ABM) of the healthcare ecosystem (ie, all healthcare facilities, their adjoining community, and patient flow among the facilities) of any region to better understand the spread and control of infectious diseases.

RESULTS

To demonstrate RHEA's capabilities, we fed extensive data from Orange County, California, USA, into RHEA to create an ABM of a healthcare ecosystem and simulate the spread and control of methicillin-resistant Staphylococcus aureus. Various experiments explored the effects of changing different parameters (eg, degree of transmission, length of stay, and bed capacity).

DISCUSSION

Our model emphasizes how individual healthcare facilities are components of integrated and dynamic networks connected via patient movement and how occurrences in one healthcare facility may affect many other healthcare facilities.

CONCLUSIONS

A decision maker can utilize RHEA to generate a detailed ABM of any healthcare system of interest, which in turn can serve as a virtual laboratory to test different policies and interventions.

The incidence of thyroid cancer is affected by the characteristics of a healthcare system

The aim of this study was to investigate the associations between the incidence of thyroid cancer and the characteristics of healthcare systems in OECD countries and to demonstrate that the increasing incidence of thyroid cancer is mainly due to overdiagnosis. We used a random effects panel model to regress the incidence of thyroid cancer on the characteristics of healthcare systems (i.e., share of public expenditure on health, mode of health financing, existence of referral system to secondary care, mode of payment to primary care physicians), controlling for macro context variables (i.e., GDP per capita, educational level) on a country level. Data were derived from 34 OECD countries for 2002 and 2008. The share of public expenditure on health was negatively associated with the incidence of thyroid cancer. However, it had no statistically significant effect on the mortality of thyroid cancer and on the incidence of stomach and lung cancer. In the case of colorectal cancer, it had a positive effect on the incidence rate. The upward trend of the incidence of thyroid cancer is closely related to the healthcare system that permits overdiagnosis. Increases in the proportion of public financing may help reduce the overdiagnosis of thyroid cancer.