Search results

There are limited studies addressing how choosing a maintenance strategy can contribute towards maximising outputs from given inputs, thereby minimising costs and improving a company’s competitiveness. The analytic hierarchy constant sum method (AHCSM) is used to access the appropriateness of maintenance strategies for improving the overall efficiency of a structural steel fabrication construction company.

A semi-structured interview was formulated with the stakeholders of the quality department to understand the company’s maintenance portfolio and its current functional capability. The information from this case study was then dissected to represent the factors that the company deemed appropriate for evaluating their maintenance strategy. The AHCSM approach provided a framework, which ranked the importance of factors that are sensitive to the construction industry and rank the suitability of maintenance strategies.

Factors affecting the selection of maintenance strategies to improve business efficiency are productivity, quality, reliability, cost, safety and work environment, morale, inventory and flexibility. Total productive maintenance strategy produces the most desirable outcome; however, the predictive or condition-based maintenance strategy provides an optimum solution for the case study company while considering the equipment usage, frequency of production and the current economic climate.

The approach presented allows practitioners to consider ways to increase the level of production and improve the efficiency of construction businesses without a high increase in investment. The findings can inform gaps in existing maintenance approaches in achieving business objectives.

This paper aims to evaluate service user (SU) and clinician acceptability of video care, including future preferences to inform mental health practice during COVID-19, and beyond.

Structured questionnaires were co-developed with SUs and clinicians. The SU online experience questionnaire was built into video consultations (VCs) via the Attend Anywhere platform, completed between July 2020 and March 2021. A Trust-wide clinician experience survey was conducted between July and October 2020. Chi-squared test was performed for any differences in clinician VC rating by mental health difficulties, with the content analysis used for free-text data.

Of 1,275 SUs completing the questionnaire following VC, most felt supported (93.4%), and their needs were met (90%). For future appointments, 51.8% of SUs preferred video, followed by face-to-face (33%), with COVID-related and practical reasons given. Of 249 clinicians, 161 (64.7%) had used VCs. Most felt the therapeutic relationship (76.4%) and privacy (78.7%) were maintained. Clinicians felt confident about clinical assessment and management using video. However, they were less confident in assessing psychotic symptoms and initiating psychotropic medications. There were no significant differences in clinician VC rating by mental health difficulties. For future, more SUs preferred using video, with a quarter providing practical reasons.

The study provides a real-world example of video care implementation. In addition to highlighting clinician needs, support at the wider system/policy level, with a focus on addressing inequalities, can inform mental health care beyond COVID-19.

The recent pandemic of COVID-19 has posed challenges for delivering essential and desirable health-care services for the masses. Digital health-care services initiated by several hospitals and health practitioners promise efficient and safe health care in the new normal post-COVID era but need a supportive enabling ecosystem. Therefore, this study aims toward identifying and modeling the key enabling factors for digital health-care services.

A total of nine factors were identified from the literature review and verified by the domain experts which can enable the wider acceptance of digital health-care services. The identified factors were then modeled with the help of the total interpretive structural modeling (TISM) approach and fuzzy Matrices d’Impacts Croises Multiplication Appliquée à un Classement (MICMAC) and a meaningful contextual relationship were developed for the factors.

This study reflects that the trust of patients is required for the acceptance of digital health care. Quality of patient care and affordability cum accessibility of online services will define mass engagement. Hospital staff resilience, hospital care service capacity, strategic partnerships and collaborations supported by technology and regulatory structure are the major factors defining the enabling ecosystem.

This study has its uniqueness in the way the TISM approach and fuzzy MICMAC are used for modeling the enabling factors toward growth and acceptance of digital health-care services in the days to come in developing nations. The focus of this study can be considered as relevant for the study interested in investigating the role of cognitive dimensions in influencing actors’ behaviors and decisions.