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  1. Tan ML, Mohd Shukri IA, Ho JJ, O'Sullivan EJ, Omer-Salim A, McAuliffe FM
    Matern Child Nutr, 2024 Apr;20(2):e13608.
    PMID: 38100143 DOI: 10.1111/mcn.13608
    A breastfeeding-friendly city is one where there is an enabling environment to support breastfeeding throughout the first 2 years or more of a child's life. Indicators of a breastfeeding-friendly city have yet to be identified. What are the indicators or criteria used to define breastfeeding friendliness in a geographic area such as a city and the settings within, which we have classified as community, healthcare and workplace? Three major databases and grey literature were searched. Records were screened to identify publications describing criteria such as indicators or descriptions of a breastfeeding-friendly setting, defined as 'criteria-sets'. These criteria-sets were then categorized and summarized by settings. The search up to 2 September 2021 found 119 criteria-sets from a range of settings: geographic locations (n = 33), community entities (n = 24), healthcare facilities (n = 28), workplaces (n = 28) and others (n = 6). Overall, 15 community, 22 healthcare and 9 workplace related criteria were extracted from the criteria-sets. Criteria that were consistently present in all settings were policy, training & education, skilled breastfeeding support and physical infrastructure. Some criteria-sets of geographic locations contained criteria only from a single setting (e.g., the presence of breastfeeding-friendly cafes). Criteria-sets were present for all settings as defined in this review, but few were actual indicators. Specifically, there were no existing indicators of a breastfeeding-friendly city. Several common components of the criteria-sets were identified, and these could be used in developing indicators of a breastfeeding-friendly city. Future studies should determine which of these are important and how each can be measured.
    Matched MeSH terms: Health Facilities
  2. Law NLW, Hong LW, Tan SSN, Foo CJ, Lee D, Voon PJ
    BMJ Open, 2024 Feb 10;14(2):e079559.
    PMID: 38341218 DOI: 10.1136/bmjopen-2023-079559
    INTRODUCTION: Multidisciplinary teams (MDTs) are integral to oncology management, involving specialised healthcare professionals who collaborate to develop individualised treatment plans for patients. However, as cancer care grows more complex, MDTs must continually adapt to better address patient needs. This scoping review will explore barriers and challenges MDTs have encountered in the past decade; and propose strategies for optimising their utilisation to overcome these obstacles and improve patient care.

    METHODS AND ANALYSIS: The scoping review will follow Arksey and O'Malley's framework and begin with a literature search using keywords in electronic databases such as PubMed/MEDLINE, Scopus and PsychINFO, covering the period from January 2013 to December 2022 and limited to English language publications. Four independent reviewers will screen titles and abstracts based on predefined inclusion criteria, followed by full-text review of selected titles. Relevant references cited in the publications will also be examined. A Preferred Reporting Items for Systematic reviews and Meta-Analyses flow diagram will be utilised to illustrate the methodology. Data from selected publications will be extracted, analysed, and categorised for further analysis.

    ETHICS AND DISSEMINATION: The results of the scoping review will provide a comprehensive overview of the barriers and challenges encountered by oncology MDTs over the past decade. These findings will contribute to the existing literature and provide insights into areas that require improvement in the functioning of MDTs in oncology management. The results will be disseminated through publication in a scientific journal, which will help to share the findings with the wider healthcare community and facilitate further research and discussion in this field.

    TRIAL REGISTRATION DETAILS: The protocol for this scoping review is registered with Open Science Framework, available at DOI 10.17605/OSF.IO/R3Y8U.

    Matched MeSH terms: Health Facilities*
  3. Oliveira Hashiguchi L, Conlin M, Roberts D, McGee K, Marten R, Nachuk S, et al.
    Health Policy Plan, 2024 Jan 23;39(Supplement_1):i125-i130.
    PMID: 38253439 DOI: 10.1093/heapol/czad097
    As countries transition from external assistance while pursuing ambitious plans to achieve universal health coverage (UHC), there is increasing need to facilitate knowledge sharing and learning among them. Country-led and country-owned knowledge management is foundational to sustainable, more equitable external assistance for health and is a useful complement to more conventional capacity-building modalities provided under external assistance. In the context of external assistance, few initiatives use country-to-country sharing of practitioner experiences, and link learning to receiving guidance on how to adapt, apply and sustain policy changes. Dominant knowledge exchange processes are didactic, implicitly assuming static technical needs, and that practitioners in low- and middle-income countries require problem-specific, time-bound solutions. In reality, the technical challenges of achieving UHC and the group of policymakers involved continuously evolve. This paper aims to explore factors which are supportive of experience-based knowledge exchange between practitioners from diverse settings, drawing from the experience of the Joint Learning Network (JLN) for UHC-a global network of practitioners and policymakers sharing experiences about common challenges to develop and implement knowledge products supporting reforms for UHC-as an illustration of a peer-to-peer learning approach. This paper considers: (1) an analysis of JLN monitoring and evaluation data between 2020 and 2023 and (2) a qualitative inquiry to explore policymakers' engagement with the JLN using semi-structured interviews (n = 14) with stakeholders from 10 countries. The JLN's experience provides insights to factors that contribute to successful peer-to-peer learning approaches. JLN relies on engaging a network of practitioners with diverse experiences who organically identify and pursue a common learning agenda. Meaningful peer-to-peer learning requires dynamic, structured interactions, and alignment with windows of opportunity for implementation that enable rapid response to emerging and timely issues. Peer-to-peer learning can facilitate in-country knowledge sharing, learning and catalyse action at the institutional and health system levels.
    Matched MeSH terms: Health Facilities
  4. Asmuri SN, Kadar M, Razaob NA, Chui CS, Mohd Rasdi HF
    PLoS One, 2024;19(4):e0301544.
    PMID: 38568914 DOI: 10.1371/journal.pone.0301544
    BACKGROUND: The Compeer Model, which was originally designed to match individuals recovering from mental illness with volunteers from their community, served as the basis for the development of the buddy program. However, limited research was available related to the buddy program among older adults in a Malaysian context.

    AIM: The study aimed to identify the effectiveness of the buddy program training module to enhance the daily living function, social participation and emotional status of older adults in residential aged care homes.

    METHODS: A quasi-experimental study was conducted with 30 pairs of buddies and older adults for both the experimental group and control group in two randomly selected residential aged care homes. The buddies in the experimental group received the buddy program training module related to activities of daily living (basic and instrumental) while the buddy-older adults pairs in the control group continued to perform their usual daily life activities in residential aged care homes. Baselines were performed before intervention and at eight weeks post-intervention.

    RESULTS: Over the eight weeks, for the older adults in the experimental group, there was a significant main effect of time after the intervention on BADL (p = 0.010). There were no significant interaction effects for the experiment group and control group on IADL and social participation. Also, there were no significant interaction effects for all domains in emotional status: depression, anxiety and stress. For buddies, there was a significant interaction effect for depression (p = 0.045) in the control group.

    CONCLUSIONS: The buddy program training module can be used as a guideline for older adults with more significant disabilities in residential aged care homes in managing activities of daily living. Future studies could be implemented to explore the intergenerational buddy program among older adults and young children in the community.

    Matched MeSH terms: Health Facilities
  5. Awang S, Agins B, Mohd Ujang IR, Narayanan DN, Zulkifli NW, Hamidi N
    Health Res Policy Syst, 2023 Nov 14;21(1):119.
    PMID: 37964336 DOI: 10.1186/s12961-023-01063-w
    BACKGROUND: Quality in healthcare is a fundamental pillar of health systems performance, leading to improved health outcomes and reduced waste. The World Health Organization recommends that countries establish a national quality policy and strategy (NQPS) to steer the provision of safe and high-performing healthcare services and foster a quality culture. This paper describes the development process and key content of Malaysia's new 5-year National Policy for Quality in Healthcare.

    METHODS: The development process was managed by a technical working group led by the Institute for Health Systems Research in the Ministry of Health. Situational analysis was conducted through a multi-pronged approach, underpinned by a review of the past and present healthcare sectoral and quality plans and guided by the WHO NQPS framework. This approach involved: (i) review of quality-related policy documents, (ii) online surveys of healthcare providers and the public, (iii) key-informant facilitated discussions and (iv) mapping of existing quality improvement initiatives (QIIs). Data gathered from these approaches informed the content of the new policy. Following thematic analysis, the findings were grouped into specific domains, which were then organized into a strengths, weaknesses, opportunities, and threats (SWOT) framework.

    RESULTS: Ten key areas of concern identified were (i) a people-centred holistic approach, (ii) governance for quality, (iii) resources, (iv) quality culture, (v) stakeholder engagement, (vi) health management information system, (vii) workforce competency, (viii) knowledge exchange, (ix) quality indicators and (x) monitoring and evaluation of quality activities. These led to the formulation of seven strategic priorities  for the planning of improvements aimed at addressing the key areas of concern. The national definition of quality was affirmed. A total of 40 QIIs were mapped and grouped into three broad categories, namely (i) regulatory, (ii) domain-specific QIIs and (iii) Quality Improvement (QI) method.

    CONCLUSIONS: The National Policy for Quality in Healthcare for Malaysia was developed through a comprehensive situational analysis using a multi-method approach that identified priorities across national, state, institutional and community levels. This evidence-informed approach led to meaningful contextual adaptation of the NQPS framework to shape the strategic direction to advance quality and achieve effective and safe outcomes for all Malaysians.

    Matched MeSH terms: Health Facilities
  6. Barlow M, Watson B, Morse K, Jones E, Maccallum F
    J Health Organ Manag, 2023 Sep 26;ahead-of-print(ahead-of-print).
    PMID: 37749761 DOI: 10.1108/JHOM-06-2023-0171
    PURPOSE: The response of the receiver to a voiced patient safety concern is frequently cited as a barrier to health professionals speaking up. The authors describe a novel Receiver Mindset Framework (RMF) to help health professionals understand the importance of their response when spoken up to.

    DESIGN/METHODOLOGY/APPROACH: The framework draws on the broader receiver-focussed literature and integrates innovative findings from a series of empirical studies. These studies examined different receiver behaviour within vignettes, retrospective descriptions of real interactions and behaviour in a simulated interaction.

    FINDINGS: The authors' findings indicated that speaking up is an intergroup interaction where social identities, context and speaker stance intersect, directly influencing both perceptions of and responses to the message. The authors' studies demonstrated that when spoken up to, health professionals poorly manage their emotions and ineffectively clarify the speaker's concerns. Currently, targeted training for receivers is overwhelmingly absent from speaking-up programmes. The receiver mindset framework provides an evidence-based, healthcare specific, receiver-focussed framework to inform programmes.

    ORIGINALITY/VALUE: Grounded in communication accommodation theory (CAT), the resulting framework shifts speaking up training from being only speaker skill focussed, to training that recognises speaking up as a mutual negotiation between the healthcare speaker and receiver. This framework provides healthcare professionals with a novel approach to use in response to speaking up that enhances their ability to listen, understand and engage in point-of-care negotiations to ensure the physical and psychological safety of patients and staff.

    Matched MeSH terms: Health Facilities
  7. Manoharan A, Siti Nur Farhana H, Manimaran K, Khoo EM, Koh WM
    BMC Infect Dis, 2023 Sep 22;23(1):624.
    PMID: 37740196 DOI: 10.1186/s12879-023-08612-2
    BACKGROUND: Various factors influence tuberculosis preventive treatment (TPT) decisions thus it is important to understand the health beliefs and concerns of patients before starting TPT to ensure treatment compliance. This study aims to explore facilitators and barriers for TPT among patients diagnosed with Latent Tuberculosis infection (LTBI) attending six primary healthcare clinics in Selangor, Malaysia.

    METHOD: In-depth interviews were conducted face-to-face or via telephone among patients with a clinical diagnosis of LTBI using a semi-structured topic guide developed based on the common-sense model of self-regulation and literature review. Audio recordings of interviews were transcribed verbatim and analysed thematically.

    RESULTS: We conducted 26 In-depth interviews; Good knowledge of active tuberculosis (TB) and its associated complications, including the perceived seriousness and transmissibility of active TB, facilitates treatment. LTBI is viewed as a concern when immune status is compromised, thus fostering TPT. However, optimal health is a barrier for TPT. Owing to the lack of knowledge, patients rely on healthcare practitioners (HCPs) to determine their treatment paths. HCPs possessing comprehensive knowledge play a role in facilitating TPT whereas barriers to TPT encompass misinterpretation of tuberculin skin test (TST), inadequate explanation of TST, and apprehensions about potential medication side effects.

    CONCLUSIONS: Knowledge of LTBI can influence TPT uptake and patients often entrust their HCPs for treatment decisions. Improving knowledge of LTBI both among patients and HCPs can lead to more effective doctor-patient consultation and consequently boost the acceptance of TPT. Quality assurance should be enhanced to ensure the effective usage of TST as a screening tool.

    Matched MeSH terms: Health Facilities
  8. Futane A, Senthil M, S J, Srinivasan A, R K, Narayanamurthy V
    Anal Methods, 2023 Sep 14;15(35):4405-4426.
    PMID: 37646163 DOI: 10.1039/d3ay01089a
    With increasing population there is a rise in pathological diseases that the healthcare facilities are grappling with. Sweat-based wearable technologies for continuous monitoring have overcome the demerits associated with sweat sampling and sensing. Hence, sweat as an alternative biofluid holds great promise for the quantification of a host of biomarkers and understanding the functioning of the body, thereby deducing ailments quickly and economically. This comprehensive review accounts for recent advances in sweat-based LOCs (Lab-On-Chips), which are a likely alternative to the existing blood-urea sample testing that is invasive and time-consuming. The present review is focused on the advancements in sweat-based Lab-On-Chips (LOCs) as an alternative to invasive and time-consuming blood-urea sample testing. In addition, different sweat collection methods (direct skin, near skin and microfluidic) and their mechanism for urea sensing are explained in detail. The mechanism of urea in biofluids in protein metabolism, balancing nitrogen levels and a crucial factor of kidney function is described. In the end, research and technological advancements are explained to address current challenges and enable its widespread implementation.
    Matched MeSH terms: Health Facilities
  9. Tang TQ, Jan R, Khurshaid A, Shah Z, Vrinceanu N, Racheriu M
    Sci Rep, 2023 Sep 01;13(1):14398.
    PMID: 37658134 DOI: 10.1038/s41598-023-41440-7
    The burden of vector-borne infections is significant, particularly in low- and middle-income countries where vector populations are high and healthcare infrastructure may be inadequate. Further, studies are required to investigate the key factors of vector-borne infections to provide effective control measure. This study focuses on formulating a mathematical framework to characterize the spread of chikungunya infection in the presence of vaccines and treatments. The research is primarily dedicated to descriptive study and comprehension of dynamic behaviour of chikungunya dynamics. We use Banach's and Schaefer's fixed point theorems to investigate the existence and uniqueness of the suggested chikungunya framework resolution. Additionally, we confirm the Ulam-Hyers stability of the chikungunya system. To assess the impact of various parameters on the dynamics of chikungunya, we examine solution pathways using the Laplace-Adomian method of disintegration. Specifically, to visualise the impacts of fractional order, vaccination, bite rate and treatment computer algorithms are employed on the infection level of chikungunya. Our research identified the framework's essential input settings for managing chikungunya infection. Notably, the intensity of chikungunya infection can be reduced by lowering mosquito bite rates in the affected area. On the other hand, vaccination, memory index or fractional order, and treatment could be used as efficient controlling variables.
    Matched MeSH terms: Health Facilities
  10. McEllistrem B, Owens M, Whitford DL
    Int J Med Educ, 2023 Aug 31;14:117-122.
    PMID: 37661729 DOI: 10.5116/ijme.64e3.740e
    OBJECTIVES: This study explores a method of transferring a post graduate medical education curriculum internationally and contextualising it to the local environment. This paper also explores the experiences of those local medical educationalists involved in the process.

    METHODS: Several methods were implemented. Firstly, a modified Delphi process for the contextualisation of learning outcomes was implemented with a purposefully sampled expert group of Malaysian Family Medicine Specialists. Secondly a small group review for supporting materials was undertaken. Finally, qualitative data in relation to the family medicine specialists' experiences of the processes was collected via online questionnaire and analysed via template analysis. Descriptive statistics were used.

    RESULTS: Learning outcomes were reviewed over three rounds; 95.9% (1691/1763) of the learning outcomes were accepted without modification, with the remainder requiring additions, modifications, or deletions. Supporting materials were extensively altered by the expert group. Template analysis showed that Family Medicine Specialists related positively to their involvement in the process, commenting on the amount of similarity in the medical curriculum whilst recognising differences in disease profiles and cultural approaches.

    CONCLUSIONS: Learning outcomes and associated material were transferable between "home" and "host" institution. Where differences were discovered this novel approach places "host" practitioners' experiences and knowledge central to the adaptation process, thereby rendering a fit for purpose curriculum. Host satisfaction with the outcome of the processes, as well as ancillary benefits were clearly identified.

    Matched MeSH terms: Health Facilities
  11. Salahuddin L, Ismail Z, Abdul Rahim F, Anawar S, Hashim UR
    Appl Clin Inform, 2023 Aug;14(4):693-704.
    PMID: 37648223 DOI: 10.1055/s-0043-1771394
    BACKGROUND: Implementing health information technology (HIT) may cause unintended consequences and safety risks when incorrectly designed and used. Yet, the tools to assess self-reported safe use of HIT are not well established.

    OBJECTIVE: This study aims to develop and validate SafeHIT, an instrument to assess self-reported safe use of HIT among health care practitioners.

    METHODS: Systematic literature review and a semistructured interview with 31 experts were adopted to generate SafeHIT instrument items. In total, 450 physicians from various departments at three Malaysian public hospitals participated in the questionnaire survey to validate SafeHIT. Exploratory factor analysis and confirmatory factor analysis (CFA) were undertaken to explore the items that best represent a specific construct and to confirm the reliability and validity of the SafeHIT, respectively.

    RESULTS: The final SafeHIT consisted of 14 constructs and 58 items in total. The result of the CFA confirmed that all constructs demonstrated adequate convergent and discriminant validity.

    CONCLUSION: A reliable and valid theoretically underpinned measure of determinants of safe HIT use behavior has been developed. Understanding external factors that influence safe HIT use is useful for developing targeted interventions that favor the quality and safety of health care.

    Matched MeSH terms: Health Facilities*
  12. Lokmic-Tomkins Z, Bhandari D, Watterson J, Pollock WE, Cochrane L, Robinson E, et al.
    BMJ Open, 2023 Jul 27;13(7):e073960.
    PMID: 37500279 DOI: 10.1136/bmjopen-2023-073960
    INTRODUCTION: Growing evidence suggests that climate change-related extreme weather events adversely impact maternal and child health (MCH) outcomes, which requires effective, sustainable and culturally appropriate interventions at individual, community and policy levels to minimise these impacts. This scoping review proposes to map the evidence available on the type, characteristics and outcomes of multilevel interventions implemented as adaptational strategies to protect MCH from the possible adverse effects of climate change.

    METHODS: The following databases will be searched: Embase, MEDLINE, Emcare, EPPI-Centre database of health promotion research (BiblioMap) EPPI-Centre Database for promoting Health Effectiveness Reviews (DoPHER), Global Health, CINAHL, Joanna Briggs Institute EBP Database, Maternity and Infant Care Database, Education Resource Information Center, PsycINFO, Scopus, Web of Science and Global Index Medicus, which indexes Latin America and the Caribbean, Index Medicus for the South-East Asia Region, African Index Medicus, Western Pacific Region Index Medicus. Cochrane Central Register of Controlled Trials, WHO International Clinical Trials Registry Platform, ClinicalTrials.gov, conference proceedings, thesis and dissertations, policy and guidelines and their reference lists will also be searched. Two reviewers will independently screen titles and abstracts and full text based on predefined eligibility criteria. The Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews using the Population, Concept and Context framework and the Template for Intervention Description and Replication checklist will be used to structure and report the findings.

    ETHICS AND DISSEMINATION: Ethics permission to conduct the scoping review is not required as the information collected is publicly available through databases. Findings will be disseminated through a peer-reviewed publication and conference presentations.

    Matched MeSH terms: Health Facilities
  13. Mothupi M, Dasgupta J, Hosseini Jebeli SS, Stevenson J, Berdichevsky K, Vong S, et al.
    BMJ, 2023 Jun 07;381:e072243.
    PMID: 37286226 DOI: 10.1136/bmj-2022-072243
    Intersectional analysis and action are needed to prepare for future pandemics and ensure more inclusive health services, say Mamothena Mothupi and colleagues
    Matched MeSH terms: Health Facilities
  14. Ab Hamid J, Juni MH, Abdul Manaf R, Syed Ismail SN, Lim PY
    PMID: 36833838 DOI: 10.3390/ijerph20043147
    Disparities in access to health services in rural areas represent a global health issue. Various external factors contribute to these disparities and each root requires specific remedial action to alleviate the issue. This study elucidates an approach to assessing the spatial accessibility of primary care, considering Malaysia's dual public-private system specifically in rural areas, and identifies its associated ecological factors. Spatial accessibility was calculated using the Enhance 2-Step Floating Catchment Area (E2SFCA) method, modified as per local context. Data were secondary sourced from Population and Housing Census data and administrative datasets pertaining to health facilities and road network. The spatial pattern of the E2SFCA scores were depicted using Hot spot Analysis. Hierarchical multiple linear regression and geographical weight regression were performed to identify factors that affect E2SFCA scores. Hot spot areas revolved near the urban agglomeration, largely contributed by the private sector. Distance to urban areas, road density, population density dependency ratios and ethnic composition were among the associated factors. Accurate conceptualization and comprehensive assessment of accessibility are crucial for evidence-based decision making by the policymakers and health authorities in identifying areas that need attention for a more specific and localized planning and development.
    Matched MeSH terms: Health Facilities
  15. Kaleem S, Sohail A, Tariq MU, Babar M, Qureshi B
    PLoS One, 2023;18(10):e0292587.
    PMID: 37819992 DOI: 10.1371/journal.pone.0292587
    Coronavirus disease (COVID-19), which has caused a global pandemic, continues to have severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia, its rapid spread requires innovative strategies for its early detection and management. In response to this crisis, data science and machine learning (ML) offer crucial solutions to complex problems, including those posed by COVID-19. One cost-effective approach to detect the disease is the use of chest X-rays, which is a common initial testing method. Although existing techniques are useful for detecting COVID-19 using X-rays, there is a need for further improvement in efficiency, particularly in terms of training and execution time. This article introduces an advanced architecture that leverages an ensemble learning technique for COVID-19 detection from chest X-ray images. Using a parallel and distributed framework, the proposed model integrates ensemble learning with big data analytics to facilitate parallel processing. This approach aims to enhance both execution and training times, ensuring a more effective detection process. The model's efficacy was validated through a comprehensive analysis of predicted and actual values, and its performance was meticulously evaluated for accuracy, precision, recall, and F-measure, and compared to state-of-the-art models. The work presented here not only contributes to the ongoing fight against COVID-19 but also showcases the wider applicability and potential of ensemble learning techniques in healthcare.
    Matched MeSH terms: Health Facilities
  16. Abd Rahman NH, Ibrahim AK, Hasikin K, Abd Razak NA
    J Healthc Eng, 2023;2023:3136511.
    PMID: 36860328 DOI: 10.1155/2023/3136511
    Medical device reliability is the ability of medical devices to endure functioning and is indispensable to ensure service delivery to patients. Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) technique was employed in May 2021 to evaluate existing reporting guidelines on medical device reliability. The systematic searching is conducted in eight different databases, including Web of Science, Science Direct, Scopus, IEEE Explorer, Emerald, MEDLINE Complete, Dimensions, and Springer Link, with 36 articles shortlisted from the year 2010 to May 2021. This study aims to epitomize existing literature on medical device reliability, scrutinize existing literature outcomes, investigate parameters affecting medical device reliability, and determine the scientific research gaps. The result of the systematic review listed three main topics on medical device reliability: risk management, performance prediction using Artificial Intelligence or machine learning, and management system. The medical device reliability assessment challenges are inadequate maintenance cost data, determining significant input parameter selection, difficulties accessing healthcare facilities, and limited age in service. Medical device systems are interconnected and interoperating, which increases complexity in assessing their reliability. To the best of our knowledge, although machine learning has become popular in predicting medical device performance, the existing models are only applicable to selected devices such as infant incubators, syringe pumps, and defibrillators. Despite the importance of medical device reliability assessment, there is no explicit protocol and predictive model to anticipate the situation. The problem worsens with the unavailability of a comprehensive assessment strategy for critical medical devices. Therefore, this study reviews the current state of critical device reliability in healthcare facilities. The present knowledge can be improved by adding new scientific data emphasis on critical medical devices used in healthcare services.
    Matched MeSH terms: Health Facilities
  17. Rehman A, Abbas S, Khan MA, Ghazal TM, Adnan KM, Mosavi A
    Comput Biol Med, 2022 Nov;150:106019.
    PMID: 36162198 DOI: 10.1016/j.compbiomed.2022.106019
    In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain (BC) technologies have significantly enhanced the capabilities and facilities of healthcare 5.0, spawning a new area known as "Smart Healthcare." By identifying concerns early, a smart healthcare system can help avoid long-term damage. This will enhance the quality of life for patients while reducing their stress and healthcare costs. The IoMT enables a range of functionalities in the field of information technology, one of which is smart and interactive health care. However, combining medical data into a single storage location to train a powerful machine learning model raises concerns about privacy, ownership, and compliance with greater concentration. Federated learning (FL) overcomes the preceding difficulties by utilizing a centralized aggregate server to disseminate a global learning model. Simultaneously, the local participant keeps control of patient information, assuring data confidentiality and security. This article conducts a comprehensive analysis of the findings on blockchain technology entangled with federated learning in healthcare. 5.0. The purpose of this study is to construct a secure health monitoring system in healthcare 5.0 by utilizing a blockchain technology and Intrusion Detection System (IDS) to detect any malicious activity in a healthcare network and enables physicians to monitor patients through medical sensors and take necessary measures periodically by predicting diseases. The proposed system demonstrates that the approach is optimized effectively for healthcare monitoring. In contrast, the proposed healthcare 5.0 system entangled with FL Approach achieves 93.22% accuracy for disease prediction, and the proposed RTS-DELM-based secure healthcare 5.0 system achieves 96.18% accuracy for the estimation of intrusion detection.
    Matched MeSH terms: Health Facilities
  18. Paul DC, Ngeow YF, Yap SF, Dony JF, Avoi R, Mohammad R, et al.
    Tuberculosis (Edinb), 2022 Mar;133:102183.
    PMID: 35180496 DOI: 10.1016/j.tube.2022.102183
    A simple, ready-to-use concentrated specimen smear microscopy method employing a nanometer silicon polyvinylidene fluoride (PVDF) polymer membrane sandwich filtration vessel to concentrate acid-fast bacilli (AFB) in samples (SFV-CSSM, Hunan-Tech New Medical System Co. Ltd. China) was compared with direct sputum smear microscopy (DSSM) to determine its performance using culture on modified Ogawa agar as reference. The results for 4114 clinical samples collected from health facilities in Sabah were interpreted with reference to culture results, sample collection-transportation conditions and clinical data including responses to anti-TB drug treatment. The SFV-CSSM showed higher sensitivity than DSSM (79.4% versus 60.5%) and less background interference. Its ability to detect low levels of AFB at an affordable cost makes it an excellent tool for the screening of pauci-bacillary samples as well as for active case finding in TB control programs.
    Matched MeSH terms: Health Facilities
  19. Bahari MS, Aminuddin F, Raman S, Hanafiah ANM, Kunusagaran MSJMNS, Zaimi NA, et al.
    PLoS One, 2022;17(11):e0276632.
    PMID: 36331901 DOI: 10.1371/journal.pone.0276632
    BACKGROUND: Despite emergency ambulance services playing a pivotal role in accessibility to life-saving treatments in Malaysia, there are still numerous gaps in knowledge in terms of their utilization and cost. This leads to current policies on procurement, maintenance, and allocation being predicated on historical evidence and expert opinions. This study thus aims to analyse the cost and utilization of ambulance services in selected public health facilities in Malaysia.

    METHODS: A cross-sectional study was employed involving 239 ambulances from selected hospitals and clinics. Ambulance service utilization was based on the number of trips, distance and duration of travel obtained from travel logbooks. A mixed top-down and activity-based costing approach was used to estimate the monthly cost of ambulance services. This constituted personnel, maintenance, fuel, overhead, consumables, ambulance, and medical equipment costs. The utilization and costs of ambulance services were further compared between settings and geographical locations.

    RESULTS: The average total cost of ambulance services was MYR 11,410.44 (US$ 2,756.14) for hospitals and MYR 9,574.39 (US$ 2,312.65) for clinics, albeit not significantly different. Personnel cost was found to be the main contributor to the total cost, at around 44% and 42% in hospitals and clinics, respectively. There was however a significant difference in the total cost in terms of the type and age of ambulances, in addition to their location. In terms of service utilization, the median number of trips and duration of ambulance usage was significantly higher in clinics (31.88 trips and 58.58 hours) compared to hospitals (16.25 trips and 39.25 hours).

    CONCLUSIONS: The total cost of ambulance services was higher in hospitals compared to clinics, while its utilization showed a converse trend. The current findings evidence that despite the ambulance services being all under the MOH, their operating process and utilization reflected an inherent difference by setting.

    Matched MeSH terms: Health Facilities
  20. Aizuddin AN, Zamzuri M'IA, Mansor J, Nurumal SR, Yunus SZSA, Razak MAA, et al.
    Pan Afr Med J, 2022;43:19.
    PMID: 36451723 DOI: 10.11604/pamj.2022.43.19.31133
    There is a growing trend in complementary and alternative medicine (CAM) usage among the population with medical conditions. However, there is hesitancy for medical practitioners to integrate its application with the current treatment modality, despite governance by the authority. Hence, our objective is to systematically evaluate the healthcare perception towards integrating CAM in their practices. We systematically searched three large and renowned databases i.e., Scopus, Web of Science and PubMed, regarding "Perception on Integrating CAM Usage in Patient's Treatment among Healthcare Practitioners" from 2016 until 2020. At least two independent reviewers comprehensively screened and extracted the data from the accepted articles. A total of 15 studies were included in the final qualitative synthesis following a strict and rigorous assessment checked using MMAT 2018 checklist. The studies included providing the richness of information due to the qualitative nature of the study design. There were three main domains extracted i.e. knowledge, attitude, and perspective of the healthcare practitioner towards CAM integration. Limited knowledge of CAM among healthcare providers may be the possible main reason for non-supportive attitude and negative perspective on CAM. However, those who showed an inclination towards CAM were found to be more open and ready to learn about CAM if it provides benefits to the patients. There is a heterogeneity of perception towards CAM integration from healthcare providers' point of view. A proactive and systematic CAM literacy awareness program may help to improve their understanding and possibly gain more trust in its application.
    Matched MeSH terms: Health Facilities*
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