Displaying publications 1 - 20 of 597 in total

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  1. A Rahim AI, Ibrahim MI, Musa KI, Chua SL, Yaacob NM
    PMID: 34574835 DOI: 10.3390/ijerph18189912
    Social media is emerging as a new avenue for hospitals and patients to solicit input on the quality of care. However, social media data is unstructured and enormous in volume. Moreover, no empirical research on the use of social media data and perceived hospital quality of care based on patient online reviews has been performed in Malaysia. The purpose of this study was to investigate the determinants of positive sentiment expressed in hospital Facebook reviews in Malaysia, as well as the association between hospital accreditation and sentiments expressed in Facebook reviews. From 2017 to 2019, we retrieved comments from 48 official public hospitals' Facebook pages. We used machine learning to build a sentiment analyzer and service quality (SERVQUAL) classifier that automatically classifies the sentiment and SERVQUAL dimensions. We utilized logistic regression analysis to determine our goals. We evaluated a total of 1852 reviews and our machine learning sentiment analyzer detected 72.1% of positive reviews and 27.9% of negative reviews. We classified 240 reviews as tangible, 1257 reviews as trustworthy, 125 reviews as responsive, 356 reviews as assurance, and 1174 reviews as empathy using our machine learning SERVQUAL classifier. After adjusting for hospital characteristics, all SERVQUAL dimensions except Tangible were associated with positive sentiment. However, no significant relationship between hospital accreditation and online sentiment was discovered. Facebook reviews powered by machine learning algorithms provide valuable, real-time data that may be missed by traditional hospital quality assessments. Additionally, online patient reviews offer a hitherto untapped indication of quality that may benefit all healthcare stakeholders. Our results confirm prior studies and support the use of Facebook reviews as an adjunct method for assessing the quality of hospital services in Malaysia.
    Matched MeSH terms: Delivery of Health Care
  2. Abbasi H, Saqib M, Jouhar R, Lal A, Ahmed N, Ahmed MA, et al.
    Biomed Res Int, 2021;2021:1119710.
    PMID: 34124238 DOI: 10.1155/2021/1119710
    Introduction: Dental anxiety is a common occurrence in patients undergoing dental treatments, especially in children. The success in paedriatric dental treatments and patient comfort depends on controlling the level of patient's anxiety in clinical settings. This study is aimed at evaluating the efficacy of different techniques applied for the reduction of dental anxiety in paediatric patients. Material and Methods. One hundred and sixty participants were divided into 4 groups; each group having 40 patients as follows: group I: mobile application "little lovely dentist," group II: YouTube® "dental video songs," group III "tell-show-do," and group IV "control." Dental prophylaxis treatments were provided to all the participants. Initial anxiety levels were noted during the patient's education phase by measuring heart rate with pulse oximeter and distress level with facial image scale, at the same time in each group, respectively. The postoperative anxiety was noted later with the same methods, after the application of anxiety reduction techniques. The data obtained were entered in the statistical package for the social sciences software, version 25. One-way ANOVA and paired t-test for matched groups were used to compare mean values of the 4 groups, in this study to determine their effectiveness. A p value of ≤0.05 was considered as statistically significant.

    Results: The mean age of patients in group 1 was 6.8 ± 2.1 years, group 2: 8.15 ± 2.27 years, group 3: 7.5 ± 2.3 years, and group 4: 7.27 ± 1.68 years. The intragroup comparisons of heart rate and facial image scores have shown a significant difference in before and after dental treatment procedures. Marked reduction in heart rate and facial image scale scores were found in patients belonging to group 1 (mobile applications) and group 2 (dental video songs). An increase in heart rate and facial image scale scores was seen in group 3 (tell-show-do) and the control group.

    Conclusion: The paediatric dental anxiety is a common finding in dental clinics. Behavior modification techniques like smartphone applications, "little lovely dentist," and "dental songs" can alleviate dental anxiety experienced by paediatric patients. The "tell-show-do" technique although most commonly used did not prove to be beneficial in the reduction of the anxiety levels.

    Matched MeSH terms: Delivery of Health Care*
  3. Abbasi IA, Jan SU, Alqahtani AS, Khan AS, Algarni F
    PLoS One, 2024;19(1):e0294429.
    PMID: 38289970 DOI: 10.1371/journal.pone.0294429
    Cloud computing is vital in various applications, such as healthcare, transportation, governance, and mobile computing. When using a public cloud server, it is mandatory to be secured from all known threats because a minor attacker's disturbance severely threatens the whole system. A public cloud server is posed with numerous threats; an adversary can easily enter the server to access sensitive information, especially for the healthcare industry, which offers services to patients, researchers, labs, and hospitals in a flexible way with minimal operational costs. It is challenging to make it a reliable system and ensure the privacy and security of a cloud-enabled healthcare system. In this regard, numerous security mechanisms have been proposed in past decades. These protocols either suffer from replay attacks, are completed in three to four round trips or have maximum computation, which means the security doesn't balance with performance. Thus, this work uses a fuzzy extractor method to propose a robust security method for a cloud-enabled healthcare system based on Elliptic Curve Cryptography (ECC). The proposed scheme's security analysis has been examined formally with BAN logic, ROM and ProVerif and informally using pragmatic illustration and different attacks' discussions. The proposed security mechanism is analyzed in terms of communication and computation costs. Upon comparing the proposed protocol with prior work, it has been demonstrated that our scheme is 33.91% better in communication costs and 35.39% superior to its competitors in computation costs.
    Matched MeSH terms: Delivery of Health Care
  4. Abd Khalim MA, Sukeri S
    PLoS One, 2023;18(1):e0278404.
    PMID: 36649258 DOI: 10.1371/journal.pone.0278404
    Malaysia's subsidised public healthcare system is heavily reliant on government funding. Increasing the uptake of private health insurance (PHI) would alleviate the financial burden on public healthcare facilities caused by high patient loads. The study aimed to determine the uptake of PHI and its associated factors among the East Coast Malaysian populations. A cross-sectional online survey was conducted between February and June 2021. Proportionate stratified sampling was applied to select 1138 participants, and logistic regression was performed to determine the factors associated with PHI uptake. The proportion of the study samples that purchased PHI was 54.3%. Enrolment of private health insurance was associated with working in the public sector (aOR: 6.06, 95% CI: 2.65, 13.88) and private sector (aOR: 6.27, 95% CI: 2.65, 14.85), being self-employed (aOR: 9.23, 95% CI: (3.59, 23.70), being in the middle 40% household income percentile (aOR: 2.74, 95% CI: 1.95, 3.85) and top 20% household income percentile (aOR: 4.42, 95% CI: 2.87, 6.80), and living in urban areas (aOR: 1.31, 95% CI: 1.01, 1.70). Even in the presence of subsidised public healthcare, the high proportion of PHI uptake reflects a demand for private health insurance. The study suggests that PHI should be promoted among those who are employed or self-employed, the middle- and high-income groups, and urban residents. The findings may be beneficial for the government and insurance companies to improve strategies to enhance PHI uptake among these population.
    Matched MeSH terms: Delivery of Health Care
  5. 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: Delivery of Health Care
  6. Abdi Alkareem Alyasseri Z, Alomari OA, Al-Betar MA, Awadallah MA, Hameed Abdulkareem K, Abed Mohammed M, et al.
    Comput Intell Neurosci, 2022;2022:5974634.
    PMID: 35069721 DOI: 10.1155/2022/5974634
    Recently, the electroencephalogram (EEG) signal presents an excellent potential for a new person identification technique. Several studies defined the EEG with unique features, universality, and natural robustness to be used as a new track to prevent spoofing attacks. The EEG signals are a visual recording of the brain's electrical activities, measured by placing electrodes (channels) in various scalp positions. However, traditional EEG-based systems lead to high complexity with many channels, and some channels have critical information for the identification system while others do not. Several studies have proposed a single objective to address the EEG channel for person identification. Unfortunately, these studies only focused on increasing the accuracy rate without balancing the accuracy and the total number of selected EEG channels. The novelty of this paper is to propose a multiobjective binary version of the cuckoo search algorithm (MOBCS-KNN) to find optimal EEG channel selections for person identification. The proposed method (MOBCS-KNN) used a weighted sum technique to implement a multiobjective approach. In addition, a KNN classifier for EEG-based biometric person identification is used. It is worth mentioning that this is the initial investigation of using a multiobjective technique with EEG channel selection problem. A standard EEG motor imagery dataset is used to evaluate the performance of the MOBCS-KNN. The experiments show that the MOBCS-KNN obtained accuracy of 93.86% using only 24 sensors with AR20 autoregressive coefficients. Another critical point is that the MOBCS-KNN finds channels not too close to each other to capture relevant information from all over the head. In conclusion, the MOBCS-KNN algorithm achieves the best results compared with metaheuristic algorithms. Finally, the recommended approach can draw future directions to be applied to different research areas.
    Matched MeSH terms: Delivery of Health Care
  7. Abdul Aziz AF, Mohd Nordin NA, Muhd Nur A, Sulong S, Aljunid SM
    BMC Geriatr, 2020 02 18;20(1):70.
    PMID: 32070291 DOI: 10.1186/s12877-020-1453-z
    BACKGROUND: The delivery of post stroke care is fragmented even in advanced public healthcare systems, globally. Primary care teams are entrusted to provide longer term care for stroke survivors in most developing countries. The integrated Care Pathway for Post Stroke patients (iCaPPS©) was designed to guide primary care teams to incorporate further rehabilitation and regular screening for post stroke complications among patients residing at home in communities, using the shared-care approach, especially in areas with limited access to specialist stroke care services. The iCaPPS© addressed coordination of rehabilitation and screening for post stroke complications which were absent in the current conventional care of patients managed at public primary care healthcentres. This study aimed to evaluate the cost effectiveness and impact of iCaPPS© on quality-adjusted- life-years (QALY) compared with current conventional monitoring at public primary care healthcentres.

    METHODS: A pragmatic healthcentre-based cluster randomised controlled trial-within trial on 151 post stroke patients from 10 public primary care facilities in Peninsular Malaysia was conducted to evaluate QALY of patients managed with iCaPPS© (n = 86) vs conventional care (n = 65) for 6 months. Costs from societal perspective were calculated, using combination of top down and activity-based costing methods. The 5-level EQ5D (EQ-5D-5 L) was used to calculate health state utility scores. Cost per QALY and incremental cost effectiveness ratio (ICER) were determined. Differences within groups were determined using Mann-Whitney tests.

    RESULTS: Total costs for 6 months treatment with iCaPPS© was MYR790.34, while conventional care cost MYR527.22. Median QALY for iCaPPS© was 0.55 (0,1.65) compared to conventional care 0.32 (0, 0.73) (z = - 0.21, p = 0.84). Cost per QALY for iCaPPS© was MYR1436.98, conventional care was MYR1647.56. The ICER was MYR1144.00, equivalent to 3.7% of per capita GDP (2012 prices).

    CONCLUSIONS: Management of post stroke patients in the community using iCaPPS© costs less per QALY compared to current conventional care and is very cost effective.

    TRIAL REGISTRATION: Trial Registration number ACTRN12616001322426. Registered 21 September 2016. (Retrospectively registered).

    Matched MeSH terms: Delivery of Health Care, Integrated*
  8. Abdul Aziz AF, Mohd Nordin NA, Ali MF, Abd Aziz NA, Sulong S, Aljunid SM
    BMC Health Serv Res, 2017 Jan 13;17(1):35.
    PMID: 28086871 DOI: 10.1186/s12913-016-1963-8
    BACKGROUND: Lack of intersectoral collaboration within public health sectors compound efforts to promote effective multidisciplinary post stroke care after discharge following acute phase. A coordinated, primary care-led care pathway to manage post stroke patients residing at home in the community was designed by an expert panel of specialist stroke care providers to help overcome fragmented post stroke care in areas where access is limited or lacking.

    METHODS: Expert panel discussions comprising Family Medicine Specialists, Neurologists, Rehabilitation Physicians and Therapists, and Nurse Managers from Ministry of Health and acadaemia were conducted. In Phase One, experts chartered current care processes in public healthcare facilities, from acute stroke till discharge and also patients who presented late with stroke symptoms to public primary care health centres. In Phase Two, modified Delphi technique was employed to obtain consensus on recommendations, based on current evidence and best care practices. Care algorithms were designed around existing work schedules at public health centres.

    RESULTS: Indication for patients eligible for monitoring by primary care at public health centres were identified. Gaps in transfer of care occurred either at post discharge from acute care or primary care patients diagnosed at or beyond subacute phase at health centres. Essential information required during transfer of care from tertiary care to primary care providers was identified. Care algorithms including appropriate tools were summarised to guide primary care teams to identify patients requiring further multidisciplinary interventions. Shared care approaches with Specialist Stroke care team were outlined. Components of the iCaPPS were developed simultaneously: (i) iCaPPS-Rehab© for rehabilitation of stroke patients at community level (ii) iCaPPS-Swallow© guided the primary care team to screen and manage stroke related swallowing problems.

    CONCLUSION: Coordinated post stroke care monitoring service for patients at community level is achievable using the iCaPPS and its components as a guide. The iCaPPS may be used for post stroke care monitoring of patients in similar fragmented healthcare delivery systems or areas with limited access to specialist stroke care services.

    TRIAL REGISTRATION: No.: ACTRN12616001322426 (Registration Date: 21st September 2016).
    Matched MeSH terms: Delivery of Health Care, Integrated/organization & administration*
  9. Abdul Ghani N, Kamaruddin N'F, Mokhtar NI
    Malays J Med Sci, 2021 Feb;28(1):87-96.
    PMID: 33679224 DOI: 10.21315/mjms2021.28.1.11
    Background: Dispensing separation (DS) is a critical policy change that will reduce medical costs, improve population health and increase the quality of healthcare in Malaysia. This study aims to determine the awareness and perception of the public regarding the DS methods.

    Methods: This cross-sectional study uses a pre-validated, self-administered questionnaire, which has been administered to 200 residents in Jitra, Kedah, Malaysia. Descriptive and inferential statistics have been used to analyse the data.

    Results: Females formed 64.0% of the participants, with Malay being the dominant ethnic group (n = 167, 83.5%); 77.5% of the participants reported they were aware of the role of pharmacists in the healthcare system. However, 35.0% of the participants reported having never heard the term 'dispensing separation' in any mainstream media in Malaysia, whereas 73.5% of the participants reported that a pharmacist was more reliable than a physician in providing medicines once the diagnosis had been made and 77.5% of them acknowledged that pharmacists were experts in the field of medication. There was a significant association between the participant's awareness and the agreement on perceptions toward the implementation of the DS (P < 0.05).

    Conclusion: Awareness of the implementation of DS among residents in Jitra is still low. However, there is strong evidence of public support and the benefits of DS in Malaysia.

    Matched MeSH terms: Delivery of Health Care
  10. Abdul Kader H
    Malays J Reprod Health, 1983 Jan;1(1):11-8.
    PMID: 12279886
    Matched MeSH terms: Delivery of Health Care
  11. Abdul Karim R, Zakaria NF, Zulkifley MA, Mustafa MM, Sagap I, Md Latar NH
    Biomed Eng Online, 2013;12:21.
    PMID: 23496940 DOI: 10.1186/1475-925X-12-21
    Telepointer is a powerful tool in the telemedicine system that enhances the effectiveness of long-distance communication. Telepointer has been tested in telemedicine, and has potential to a big influence in improving quality of health care, especially in the rural area. A telepointer system works by sending additional information in the form of gesture that can convey more accurate instruction or information. It leads to more effective communication, precise diagnosis, and better decision by means of discussion and consultation between the expert and the junior clinicians. However, there is no review paper yet on the state of the art of the telepointer in telemedicine. This paper is intended to give the readers an overview of recent advancement of telepointer technology as a support tool in telemedicine. There are four most popular modes of telepointer system, namely cursor, hand, laser and sketching pointer. The result shows that telepointer technology has a huge potential for wider acceptance in real life applications, there are needs for more improvement in the real time positioning accuracy. More results from actual test (real patient) need to be reported. We believe that by addressing these two issues, telepointer technology will be embraced widely by researchers and practitioners.
    Matched MeSH terms: Delivery of Health Care
  12. Abdul Latiff SB
    Kaohsiung J. Med. Sci., 1999;15 Suppl:S75-8.
    PMID: 10422428
    Matched MeSH terms: Delivery of Health Care*
  13. Abdul Rashid AR
    Med J Malaysia, 2008 Aug;63(3):185-7.
    PMID: 19248686
    Matched MeSH terms: Delivery of Health Care/organization & administration*
  14. Abdul Rauf Abdul Rasam, Abdul Rauf Abdul Rasam, Azri Haziq Azlin, Noraqila Aiman Abu, Ahmad Norhisyam Idris, Nurmilah Romeyu
    Jurnal Inovasi Malaysia, 2020;3(2):87-99.
    MyJurnal
    Disability is termed as both evolving concept and manifestation of interaction between persons with disabilities (PWDs) and physical and environmental barriers that holds them back from contributing actively in a society. People who fall in this category will find themselves trapped in a such vulnerable condition as they may not be able to cope with their daily problems without high surveillance from their guardian. Development of a mobile apps and web GIS-based healthcare system in Ampang is proposed in this study as this application has a bright potential to assist PWDs in terms of accessibilities to reach healthcare centres. The main objectives of this paper are i) to study the needs assessment on the proposed system, ii) to develop a mobile and web GIS-based healthcare information system and iii) to evaluate the performance of the proposed system. Selected respondents agreed on the development of the prototype system, namely the mobile apps and web system. The system was created with main menus such as doctor home visits, ambulance and medication delivery. Medical support team can also perform analyses in the system for PWD needs such as shortest path analysis, buffering and view of the main menus.
    Matched MeSH terms: Delivery of Health Care
  15. Abdullah BJ, Ng KH, Pathmanathan R
    Med J Malaysia, 1999 Jun;54(2):169-74.
    PMID: 10972025
    Teleradiology is the most mature and rapidly evolving specialty in telemedicine. The use of teleradiology has grown tremendously during the past few years. This article describes the role of teleradiology in health care along with a brief history of its development in tandem with advances in telecommunications and computer technologies. Teleradiology standards, image acquisition, data compression, transmission and image interpretation are summarised. The impact of teleradiology in the practice of radiology, traces the evolution of the modality especially in the Malaysian perspective and its current and future role are discussed.
    Matched MeSH terms: Delivery of Health Care*
  16. Abidi SS, Cheah YN, Curran J
    IEEE Trans Inf Technol Biomed, 2005 Jun;9(2):193-204.
    PMID: 16138536
    Tacit knowledge of health-care experts is an important source of experiential know-how, yet due to various operational and technical reasons, such health-care knowledge is not entirely harnessed and put into professional practice. Emerging knowledge-management (KM) solutions suggest strategies to acquire the seemingly intractable and nonarticulated tacit knowledge of health-care experts. This paper presents a KM methodology, together with its computational implementation, to 1) acquire the tacit knowledge possessed by health-care experts; 2) represent the acquired tacit health-care knowledge in a computational formalism--i.e., clinical scenarios--that allows the reuse of stored knowledge to acquire tacit knowledge; and 3) crystallize the acquired tacit knowledge so that it is validated for health-care decision-support and medical education systems.
    Matched MeSH terms: Delivery of Health Care/organization & administration*
  17. Abidi SS
    PMID: 10724989
    The 21st century promises to usher in an era of Internet based healthcare services--Tele-Healthcare. Such services augur well with the on-going paradigm shift in healthcare delivery patterns, i.e. patient centred services as opposed to provider centred services and wellness maintenance as opposed to illness management. This paper presents a Tele-Healthcare info-structure TIDE--an 'intelligent' wellness-oriented healthcare delivery environment. TIDE incorporates two WWW-based healthcare systems: (1) AIMS (Automated Health Monitoring System) for wellness maintenance and (2) IDEAS (Illness Diagnostic & Advisory System) for illness management. Our proposal comes from an attempt to rethink the sources of possible leverage in improving healthcare; vis-à-vis the provision of a continuum of personalised home-based healthcare services that emphasise the role of the individual in self health maintenance.
    Matched MeSH terms: Delivery of Health Care
  18. Abidi SS
    Int J Med Inform, 2001 Sep;63(1-2):5-18.
    PMID: 11518661
    In this paper, we highlight the involvement of Knowledge Management in a healthcare enterprise. We argue that the 'knowledge quotient' of a healthcare enterprise can be enhanced by procuring diverse facets of knowledge from the seemingly placid healthcare data repositories, and subsequently operationalising the procured knowledge to derive a suite of Strategic Healthcare Decision-Support Services that can impact strategic decision-making, planning and management of the healthcare enterprise. In this paper, we firstly present a reference Knowledge Management environment-a Healthcare Enterprise Memory-with the functionality to acquire, share and operationalise the various modalities of healthcare knowledge. Next, we present the functional and architectural specification of a Strategic Healthcare Decision-Support Services Info-structure, which effectuates a synergy between knowledge procurement (vis-à-vis Data Mining) and knowledge operationalisation (vis-à-vis Knowledge Management) techniques to generate a suite of strategic knowledge-driven decision-support services. In conclusion, we argue that the proposed Healthcare Enterprise Memory is an attempt to rethink the possible sources of leverage to improve healthcare delivery, hereby providing a valuable strategic planning and management resource to healthcare policy makers.
    Matched MeSH terms: Delivery of Health Care/organization & administration*
  19. Abraham R
    Med J Malaysia, 2003 Mar;58 Suppl A:123-33.
    PMID: 14556360
    Matched MeSH terms: Delivery of Health Care/legislation & jurisprudence*; Delivery of Health Care/standards*
  20. Abu Awwad D, Shafiq J, Delaney GP, Anacak Y, Bray F, Flores JA, et al.
    Lancet Oncol, 2024 Feb;25(2):225-234.
    PMID: 38301690 DOI: 10.1016/S1470-2045(23)00619-8
    BACKGROUND: Cancer incidence and mortality is increasing rapidly worldwide, with a higher cancer burden observed in the Asia-Pacific region than in other regions. To date, evidence-based modelling of radiotherapy demand has been based on stage data from high-income countries (HIC) that do not account for the later stage at presentation seen in many low-income and middle-income countries (LMICs). We aimed to estimate the current and projected demand and supply in megavoltage radiotherapy machines in the Asia-Pacific region, using a national income-group adjusted model.

    METHODS: Novel LMIC radiotherapy demand and outcome models were created by adjusting previously developed models that used HIC cancer staging data. These models were applied to the cancer case mix (ie, the incidence of each different cancer) in each LMIC in the Asia-Pacific region to estimate the current and projected optimal radiotherapy utilisation rate (ie, the proportion of cancer cases that would require radiotherapy on the basis of guideline recommendations), and to estimate the number of megavoltage machines needed in each country to meet this demand. Information on the number of megavoltage machines available in each country was retrieved from the Directory of Radiotherapy Centres. Gaps were determined by comparing the projected number of megavoltage machines needed with the number of machines available in each region. Megavoltage machine numbers, local control, and overall survival benefits were compared with previous data from 2012 and projected data for 2040.

    FINDINGS: 57 countries within the Asia-Pacific region were included in the analysis with 9·48 million new cases of cancer in 2020, an increase of 2·66 million from 2012. Local control was 7·42% and overall survival was 3·05%. Across the Asia-Pacific overall, the current optimal radiotherapy utilisation rate is 49·10%, which means that 4·66 million people will need radiotherapy in 2020, an increase of 1·38 million (42%) from 2012. The number of megavoltage machines increased by 1261 (31%) between 2012 and 2020, but the demand for these machines increased by 3584 (42%). The Asia-Pacific region only has 43·9% of the megavoltage machines needed to meet demand, ranging from 9·9-40·5% in LMICs compared with 67·9% in HICs. 12 000 additional megavoltage machines will be needed to meet the projected demand for 2040.

    INTERPRETATION: The difference between supply and demand with regard to megavoltage machine availability has continued to widen in LMICs over the past decade and is projected to worsen by 2040. The data from this study can be used to provide evidence for the need to incorporate radiotherapy in national cancer control plans and to inform governments and policy makers within the Asia-Pacific region regarding the urgent need for investment in this sector.

    FUNDING: The Regional Cooperative Agreement for Research, Development and Training Related to Nuclear Science and Technology for Asia and the Pacific (RCA) Regional Office (RCARP03).

    Matched MeSH terms: Delivery of Health Care*
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