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1 – 10 of over 2000Yixin Liang, Xuejie Ren and Lindu Zhao
The study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on…
Abstract
Purpose
The study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on self-management efforts. These decisions not only impact health outcomes but also shape the demand for care, subsequently influencing care costs. Despite the significance of this interplay, current payment schemes often overlook these dynamics. The research focuses on investigating the implications of a novel behavior-based payment scheme, designed to align incentives and establish a direct connection between patients' decisions and care costs. The primary objective is to comprehensively understand whether and how this innovative payment scheme structure influences key stakeholders, including patients, care providers, insurers and overall social welfare.
Design/methodology/approach
In this paper, we propose a game-theoretical model to incorporate the performance of self-management with the demand for healthcare service, compare the patient's effort decision for self-management and provider's price decision for healthcare service under a behavior-based scheme with that under two implemented widely payment schemes, that is, co-payment scheme and co-insurance scheme.
Findings
Our findings confirm that the behavior-based scheme incentives patient self-management more than current schemes while reducing their possibility of seeking healthcare service, which indirectly induces the provider to lower the price of the service. The stakeholders' utility under various payment schemes is sensitive to the cost of treatment and the perceived health utility of patients. Especially, patient health awareness is not always benefited provider profit, as it motivates patient self-management while diminishing the demand for care.
Originality/value
We provide a novel framework for characterizing behavior-based payment schemes. Our results confirm the need for modification of the current payment scheme to incentivize patient self-management.
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Susanna Pinnock, Natasha Evers and Thomas Hoholm
The demand for healthcare innovation is increasing, and not much is known about how entrepreneurial firms search for and sell to customers in the highly regulated and complex…
Abstract
Purpose
The demand for healthcare innovation is increasing, and not much is known about how entrepreneurial firms search for and sell to customers in the highly regulated and complex healthcare market. Drawing on effectuation perspectives, we explore how entrepreneurial digital healthcare firms with disruptive innovations search for early customers in the healthcare sector.
Design/methodology/approach
This study uses a qualitative, longitudinal multiple-case design of four entrepreneurial Nordic telehealth firms. In-depth interviews were conducted with founders and senior managers over a period of 27 months.
Findings
We find that when customer buying conditions are highly flexible, case firms use effectual logic to generate customer demand for disruptive innovations. However, under constrained buying conditions firms adopt a more causal approach to customer search.
Practical implications
Managers need to gain a deep understanding of target buying environments when searching for customers. In healthcare sector markets, the degree of flexibility customers have over buying can constrain them from engaging in demand co-creation. In particular, healthcare customer access to funding streams can be a key determinant of customer flexibility.
Originality/value
We contribute to effectuation literature by illustrating how customer buying conditions influence decision-making logics of entrepreneurial firms searching for customers in the healthcare sector. We contribute to entrepreneurial resource search literature by illustrating how entrepreneurial firms search for customers beyond their networks in the institutionally complex healthcare sector.
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Salman Butt, Ahmed Raza, Rabia Siddiqui, Yasir Saleem, Bill Cook and Habib Khan
This literature review aims to assess the current research on healthcare job availability and skilled professionals. The objective of this research is to identify challenges…
Abstract
Purpose
This literature review aims to assess the current research on healthcare job availability and skilled professionals. The objective of this research is to identify challenges caused by the imbalance between healthcare service demand and qualified professionals and propose potential solutions and future research directions.
Design/methodology/approach
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was employed as the guiding framework for conducting this review. A qualitative research design analyzed 38 peer-reviewed, evidence-based research works from 50 journal publications. Inclusion criteria focused on empirical studies, observational research and comprehensive reviews published within the last ten years. Thematic and discourse analysis categorized themes and factors explored in selected publications.
Findings
The findings highlight significant challenges in the healthcare sector regarding job availability and skilled professionals. Developed countries face understaffed healthcare facilities, resulting in increased workloads and compromised care. Developing countries experience high rates of unemployment among healthcare graduates due to limited resources and mentorship.
Practical implications
Improving educational infrastructure, expanding training opportunities and increasing healthcare investments are crucial for nurturing a skilled workforce. Implementing effective retention policies, fostering international collaborations and addressing socioeconomic determinants can create a sustainable job market.
Originality/value
The healthcare sector faces critical challenges in balancing job availability and skilled professionals. Strategic solutions are proposed to create a sustainable and equitable healthcare workforce. By implementing recommendations and conducting further research, access to quality healthcare and global public health outcomes can be improved.
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This survey explores the application of real options theory to the field of health economics. The integration of options theory offers a valuable framework to address these…
Abstract
Purpose
This survey explores the application of real options theory to the field of health economics. The integration of options theory offers a valuable framework to address these challenges, providing insights into healthcare investments, policy analysis and patient care pathways.
Design/methodology/approach
This research employs the real options theory, a financial concept, to delve into health economics challenges. Through a systematic approach, three distinct models rooted in this theory are crafted and analyzed. Firstly, the study examines the value of investing in emerging health technology, factoring in future advantages, associated costs and unpredictability. The second model is patient-centric, evaluating the choice between immediate treatment switch and waiting for more clarity, while also weighing the associated risks. Lastly, the research assesses pandemic-related government policies, emphasizing the importance of delaying decisions in the face of uncertainties, thereby promoting data-driven policymaking.
Findings
Three different real options models are presented in this study to illustrate their applicability and value in aiding decision-makers. (1) The first evaluates investments in new technology, analyzing future benefits, discount rates and benefit volatility to determine investment value. (2) In the second model, a patient has the option of switching treatments now or waiting for more information before optimally switching treatments. However, waiting has its risks, such as disease progression. By modeling the potential benefits and risks of both options, and factoring in the time value, this model aids doctors and patients in making informed decisions based on a quantified assessment of potential outcomes. (3) The third model concerns pandemic policy: governments can end or prolong lockdowns. While awaiting more data on the virus might lead to economic and societal strain, the model emphasizes the economic value of deferring decisions under uncertainty.
Practical implications
This research provides a quantified perspective on various decisions in healthcare, from investments in new technology to treatment choices for patients to government decisions regarding pandemics. By applying real options theory, stakeholders can make more evidence-driven decisions.
Social implications
Decisions about patient care pathways and pandemic policies have direct societal implications. For instance, choices regarding the prolongation or ending of lockdowns can lead to economic and societal strain.
Originality/value
The originality of this study lies in its application of real options theory, a concept from finance, to the realm of health economics, offering novel insights and analytical tools for decision-makers in the healthcare sector.
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Samaya Pillai, Manik Kadam, Madhavi Damle and Pankaj Pathak
Healthcare is indispensable for any civilisation to attain a good quality of life and well-being on both mental and physical levels. The healthcare domain primarily falls under…
Abstract
Healthcare is indispensable for any civilisation to attain a good quality of life and well-being on both mental and physical levels. The healthcare domain primarily falls under pharma, medical, biotechnology, and nursing. Also, other fields may be aligned with these primary fields. Healthcare amasses the contemporary trends and knowledge of upcoming techniques to improve healthcare processes. The practitioners are primarily doctors, nurses, specialists and health professionals, hospital administrators, and health insurance.
It is a fundamental attribute needed for any society to attain good quality of life and well-being in mental and physical health. It is a fundamental right of people to receive good healthcare where drug treatment and hospitalization are available at a nominal cost, as a requirement of today’s modern era. There appears to be a significant disparity in the availability of good healthcare in rural areas compared to urban in India. Even though we enter the digital era with the facilities offered in Industry 4.0 and other advanced technologies brings about a significant change of overall processing within healthcare systems. During the pandemic of COVID-19, there has been digital transformation with success globally. Healthcare cooperatives are a new norm to support the healthcare systems globally. The chapter discusses Gampaha healthcare cooperative and reviews Ayushman Sahakar scheme in India. The reforms require time to evolve.
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Samuel Sekyi, Senia Nhamo and Edinah Mudimu
This paper aims to evaluate Ghana's National Health Insurance Scheme (NHIS) on healthcare utilisation by exploring its heterogeneous effects based on residential status and wealth.
Abstract
Purpose
This paper aims to evaluate Ghana's National Health Insurance Scheme (NHIS) on healthcare utilisation by exploring its heterogeneous effects based on residential status and wealth.
Design/methodology/approach
The study used the Ghana Socioeconomic Panel Survey (GSPS) datasets. An instrumental variable strategy, specifically the two-stage residual inclusion (2SRI), was employed to control endogenous NHIS membership.
Findings
Generally, the results show that NHIS improves healthcare utilisation (i.e. visits to a health facility and formal care). Concerning the heterogeneous effects of health insurance on healthcare utilisation, the results revealed that NHIS members are more likely to seek care, irrespective of their residence status. The results further indicate that the probability of visiting a health facility and utilising formal care increases for the poorest NHIS participants. Based on these, the authors conclude that NHIS provides equitable healthcare access and utilisation for its vulnerable populations, who are beneficiaries.
Originality/value
To the best of the authors' knowledge, this paper is the first to explore the heterogeneous effects of NHIS on healthcare utilisation across residential and income subpopulations. Splitting the dataset by residential status to examine healthcare utilisation inequality is worthwhile. In addition, analysing utilisation in terms of health care type would show whether Ghana's NHIS may be viewed as welfare-enhancing through increased formal health care utilisation.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0330
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Anchal Patil, Vipulesh Shardeo, Jitender Madaan, Ashish Dwivedi and Sanjoy Kumar Paul
This study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a…
Abstract
Purpose
This study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a pandemic appropriately.
Design/methodology/approach
This study adopts a system dynamics simulation and scenario analysis to experiment with the modification of the susceptible exposed infected and recovered (SEIR) model. The experiments evaluate diagnostic capacity expansion to identify suitable expansion plans and timelines. Afterwards, two popularly used forecasting tools, artificial neural network (ANN) and auto-regressive integrated moving average (ARIMA), are used to estimate the requirement of beds for a period when infection data became available.
Findings
The results from the study reflect that aggressive testing with isolation and integration of quarantine can be effective strategies to prevent disease outbreaks. The findings demonstrate that decision-makers must rapidly expand the diagnostic capacity during the first two weeks of the outbreak to support aggressive testing and isolation. Further, results confirm a healthcare resource deficit of at least two months for Delhi in the absence of these strategies. Also, the study findings highlight the importance of capacity expansion timelines by simulating a range of contact rates and disease infectivity in the early phase of the outbreak when various parameters are unknown. Further, it has been reflected that forecasting tools can effectively estimate healthcare resource requirements when pandemic data is available.
Practical implications
The models developed in the present study can be utilised by policymakers to suitably design the response plan. The decisions regarding how much diagnostics capacity is needed and when to expand capacity to minimise infection spread have been demonstrated for Delhi city. Also, the study proposed a decision support system (DSS) to assist the decision-maker in short- and long-term planning during the disease outbreak.
Originality/value
The study estimated the resources required for adopting an aggressive testing strategy. Several experiments were performed to successfully validate the robustness of the simulation model. The modification of SEIR model with diagnostic capacity increment, quarantine and testing block has been attempted to provide a distinct perspective on the testing strategy. The prevention of outbreaks has been addressed systematically.
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Shaikhah Rashed Alabdouli, Hajer Mousa Alriyami, Syed Zamberi Ahmad and Charilaos Mertzanis
This paper aims to explore the impact of interprofessional healthcare collaboration among nurses on patient healthcare services in the United Arab Emirates (UAE).
Abstract
Purpose
This paper aims to explore the impact of interprofessional healthcare collaboration among nurses on patient healthcare services in the United Arab Emirates (UAE).
Design/methodology/approach
Data were gathered through a randomly distributed questionnaire (N = 248), constructed using established scales or the variables under study. The sample consisted of nurses and patients from various hospitals and clinics across the UAE. The collected data were analyzed using SPSS (Version 28) and Amos (Version 29) software, employing factor analysis, reliability testing and mediation analysis.
Findings
The study reveals a positive relationship between swift trust (ST) and its dimensions with both team interactive behavior (TIB) and nurse team creativity (TC). TIB was found to significantly mediate the effect of ST on TC. Additionally, based on closed-ended questions, a positive correlation was observed between team task conflict (TTC) and TC. However, no significant impact of TTC on nurse TC was identified through open-ended questions.
Originality/value
This research presents a unique analysis of the influence of interprofessional collaboration on patient healthcare services in the UAE, offering valuable insights for policy improvement by enhancing nursing conditions. Furthermore, the study contributes to the existing literature by examining the relationship between ST, TIB, TTC and TC.
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Shubham Senapati and Rajeev Kumar Panda
Over the years, despite the best efforts to evaluate service quality through multiple techniques, the connotation between service deliverance and consumer expectation remains…
Abstract
Purpose
Over the years, despite the best efforts to evaluate service quality through multiple techniques, the connotation between service deliverance and consumer expectation remains sporadic. In the quest to quantify service quality from an innovative perspective, the current study has leveraged consumer-perceived experiences to unveil the novel intricacies of healthcare quality.
Design/methodology/approach
Anchoring on the dimensions of patient experience (PX), field data were collected from 244 patients at different private hospitals operating across India. Further, this study incorporated a fuzzy analytic hierarchy process (F-AHP) to evaluate consumer preferences and prioritised the dimensions of PX in three categories of Indian hospitals, namely nursing homes (NHs), mid-tier corporate hospitals (MCHs) and top-tier corporate hospitals (TCHs).
Findings
The results establish a performance ranking by demonstrating that MCHs outperform the rest alternatives on the grounds of perceived experiences. Tukey's honestly significance difference (HSD) test was executed to confirm the heterogeneity among the participants' preferences across three different hospital categories. The results reveal that for most of the alternatives, the mean scores of the criterion were statistically significantly different.
Originality/value
In healthcare studies, PX dawned as an entity with an ability to propel healthcare quality in a better way than the classical techniques did. The study's findings present a comprehensive picture of a care delivery system by identifying relatively significant dimensions of PX, hence improving the quality quotients by adjusting healthcare offerings in alignment with consumer expectations and organisational strategies.
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Sasadhar Bera, Pradeep Kumar and Subhajit Bhattacharya
The paper aims to investigate the cardiology department’s operational system for improving flexibility by minimizing the patient waiting time and simultaneously maximizing the…
Abstract
Purpose
The paper aims to investigate the cardiology department’s operational system for improving flexibility by minimizing the patient waiting time and simultaneously maximizing the utilization of service capacity in an uncertain environment. This article also proposes a policy framework that suggests a pool of additional resources and inter-firm collaboration can boost healthcare service delivery excellence.
Design/methodology/approach
A discrete event simulation (DES) approach is followed for modeling patient flow and determining the service capacity to respond to demand variability and uncertainty. The model's outputs are used to minimize patient waiting time, maximize the utilization of the resources and match the service capacity with the patient demand.
Findings
This research has tested two hypotheses and proved that an increase in waiting time decimates the throughput rate, and additional resources deployment in bottleneck activity positively impacts the throughput rate. The simulated scenarios prescribe an enhanced service capacity with quality care and further contribute to operational performance in reduced waiting time and cost. The results indicate that flexibility reduces the patient waiting time and maximizes the throughput rate.
Practical implications
The study guides the healthcare policymakers to develop flexible competence and facilitate service mechanisms that are adaptive and robust while operating under a volatile environment. The article contributes to the healthcare literature that conjoins flexibility through simulation and resource utilization.
Originality/value
This research is based on real-life primary data collected from healthcare providers. This study adds value to the healthcare systems to adopt strategic decisions to build flexibility through resource allocation, sharing and coordinated care.
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