Displaying publications 21 - 40 of 45 in total

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  1. Azraii AB, Ramli AS, Ismail Z, Abdul-Razak S, Mohd-Kasim NA, Ali N, et al.
    Atherosclerosis, 2018 10;277:508-516.
    PMID: 30270092 DOI: 10.1016/j.atherosclerosis.2018.08.018
    BACKGROUND AND AIMS: This study aimed to determine knowledge, awareness and practice (KAP) regarding familial hypercholesterolaemia (FH) among Malaysian primary care physicians (PCP), and to compare KAP between PCP with postgraduate qualification (PCP-PG-Qual) and PCP without PG qualification (PCP-noPG-Qual).

    METHODS: This was a cross-sectional study involving PCP with ≥1-year working experience in Malaysian primary care settings. An adapted and validated 25-item FH-KAP questionnaire was disseminated during primary care courses. Total score for each domain was calculated by summing-up the correct responses, converted into percentage scores. Normality distribution was examined and comparisons of mean/median percentage scores were made between the two groups of PCP.

    RESULTS: A total of 372 PCP completed the questionnaire. Regarding knowledge, 77.7% correctly defined FH. However, only 8.3% correctly identified coronary artery disease risk in untreated FH. The mean percentage knowledge score was significantly higher in PCP-PG-Qual compared to PCP-noPG-Qual (48.9, SD ± 13.92 vs. 35.2, SD ± 14.13), t(370) = 8.66, p 

    Matched MeSH terms: Clinical Decision-Making
  2. Nantha YS
    Korean J Fam Med, 2017 Nov;38(6):315-321.
    PMID: 29209469 DOI: 10.4082/kjfm.2017.38.6.315
    A prescriptive model approach in decision making could help achieve better diagnostic accuracy in clinical practice through methods that are less reliant on probabilistic assessments. Various prescriptive measures aimed at regulating factors that influence heuristics and clinical reasoning could support clinical decision-making process. Clinicians could avoid time-consuming decision-making methods that require probabilistic calculations. Intuitively, they could rely on heuristics to obtain an accurate diagnosis in a given clinical setting. An extensive literature review of cognitive psychology and medical decision-making theory was performed to illustrate how heuristics could be effectively utilized in daily practice. Since physicians often rely on heuristics in realistic situations, probabilistic estimation might not be a useful tool in everyday clinical practice. Improvements in the descriptive model of decision making (heuristics) may allow for greater diagnostic accuracy.
    Matched MeSH terms: Clinical Decision-Making
  3. Z I I, C J N, P Y L, N H
    PLoS One, 2020;15(12):e0242690.
    PMID: 33270663 DOI: 10.1371/journal.pone.0242690
    INTRODUCTION: Pregnancy planning varies among women with diabetes. Observing that the literature examining the factors affecting diabetic women's pregnancy intentions in multi-ethnic Asian populations is limited, we sought to explore these factors to give a better perspective on these women's pregnancy planning.

    METHODS: This qualitative study used individual in-depth interviews to capture the views and experiences of non-pregnant diabetic women of reproductive age in four public health clinics in a southwestern state of peninsular Malaysia from May 2016 to February 2017. The participants were purposively sampled according to ethnicity and were interviewed using a semi-structured topic guide. Interviews were audio-recorded, and transcripts were analysed using thematic analysis.

    RESULTS: From the 33 interviews that were analysed, four important factors influencing participants' decisions regarding pregnancy planning were identified. Participants' perception of poor pregnancy outcomes due to advanced age and medical condition was found to have an impact. However, despite these fears and negative relationships with doctors, personal, family and cultural influences supported by religious 'up to God' beliefs took centre stage in the pregnancy intention of some participants. Participants demonstrated a variety of understandings of pregnancy planning. They outlined some activities for pregnancy preparation, although many also reported limited engagement with pre-pregnancy care.

    CONCLUSIONS: This study emphasised the known dilemma experienced by diabetic women considering their desire for an ideal family structure against their perceived pregnancy risks, heterogeneous religious beliefs and the impact of cultural demands on pregnancy intention. This study urges healthcare providers to increase their engagement with the women in pregnancy planning in a more personalised approach.

    Matched MeSH terms: Clinical Decision-Making
  4. Tamibmaniam J, Hussin N, Cheah WK, Ng KS, Muninathan P
    PLoS One, 2016;11(8):e0161696.
    PMID: 27551776 DOI: 10.1371/journal.pone.0161696
    BACKGROUND: WHO's new classification in 2009: dengue with or without warning signs and severe dengue, has necessitated large numbers of admissions to hospitals of dengue patients which in turn has been imposing a huge economical and physical burden on many hospitals around the globe, particularly South East Asia and Malaysia where the disease has seen a rapid surge in numbers in recent years. Lack of a simple tool to differentiate mild from life threatening infection has led to unnecessary hospitalization of dengue patients.

    METHODS: We conducted a single-centre, retrospective study involving serologically confirmed dengue fever patients, admitted in a single ward, in Hospital Kuala Lumpur, Malaysia. Data was collected for 4 months from February to May 2014. Socio demography, co-morbidity, days of illness before admission, symptoms, warning signs, vital signs and laboratory result were all recorded. Descriptive statistics was tabulated and simple and multiple logistic regression analysis was done to determine significant risk factors associated with severe dengue.

    RESULTS: 657 patients with confirmed dengue were analysed, of which 59 (9.0%) had severe dengue. Overall, the commonest warning sign were vomiting (36.1%) and abdominal pain (32.1%). Previous co-morbid, vomiting, diarrhoea, pleural effusion, low systolic blood pressure, high haematocrit, low albumin and high urea were found as significant risk factors for severe dengue using simple logistic regression. However the significant risk factors for severe dengue with multiple logistic regressions were only vomiting, pleural effusion, and low systolic blood pressure. Using those 3 risk factors, we plotted an algorithm for predicting severe dengue. When compared to the classification of severe dengue based on the WHO criteria, the decision tree algorithm had a sensitivity of 0.81, specificity of 0.54, positive predictive value of 0.16 and negative predictive of 0.96.

    CONCLUSION: The decision tree algorithm proposed in this study showed high sensitivity and NPV in predicting patients with severe dengue that may warrant admission. This tool upon further validation study can be used to help clinicians decide on further managing a patient upon first encounter. It also will have a substantial impact on health resources as low risk patients can be managed as outpatients hence reserving the scarce hospital beds and medical resources for other patients in need.

    Study site: single ward, in Hospital Kuala Lumpur, Malaysia
    Matched MeSH terms: Clinical Decision-Making*
  5. Azit NA, Sahran S, Voon Meng L, Subramaniam M, Mokhtar S, Mohammed Nawi A
    PLoS One, 2021;16(12):e0260675.
    PMID: 34882716 DOI: 10.1371/journal.pone.0260675
    Type 2 diabetes mellitus (T2DM) is increasingly known as a risk factor of hepatocellular carcinoma (HCC). In this study, we determined the risk factors associated with HCC in T2DM patients. This was a matched case-control study conducted at two hepatobiliary referral centres in a developing country. Patients' sociodemographic, clinical, and biochemical characteristics between 1 January 2012 and 30 June 2018 were extracted from the electronic medical records and analysed using multivariate logistic regression analysis. A total of 212 case-control pairs were included. Significant risk factors included Chinese and Malay ethnicities that interacted with viral hepatitis (adjusted odds ratio [AOR] = 11.77, 95% confidence interval [CI]: 1.39-99.79) and (AOR = 37.94, 95% CI: 3.92-367.61) respectively, weight loss (AOR = 5.28, 95% CI: 2.29-12.19), abdominal pain/ discomfort (AOR = 6.73, 95% CI: 3.34-13.34), alcohol (AOR = 4.08, 95% CI: 1.81-9.22), fatty liver (AOR = 3.29, 95% CI: 1.40-7.76), low platelet (AOR = 4.03, 95% CI:1.90-8.55), raised alanine transaminase (AOR = 2.11, 95% CI: 1.16-3.86). and alkaline phosphatase (ALP) levels (AOR = 2.17, 95% CI: 1.17-4.00). Statins reduced the risk of HCC by 63% (AOR = 0.37, 95% CI: 0.21-0.65). The identification of these factors aids the risk stratification for HCC among T2DM patients for early detection and decision-making in patient management in the primary care setting.
    Matched MeSH terms: Clinical Decision-Making
  6. Masir N, Akhter A, Roshan TM, Florence CS, Abdul-Rahman F, Tumian NR, et al.
    J Clin Pathol, 2019 Sep;72(9):630-635.
    PMID: 31189540 DOI: 10.1136/jclinpath-2019-205837
    AIMS: Heightened B-cell receptor (BCR) activity in diffuse large B-cell lymphoma (DLBCL) is well established, and a subset of patients with relapsed DLBCL can benefit from BCR-targeted therapies. Universal outreach of such emerging therapies mandates forming a global landscape of BCR molecular signalling in DLBCL, including Southeast Asia.

    METHODS: 79 patients with DLBCL (nodal, 59% and extranodal, 41%) treated with rituximab combined with cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) therapy were selected. Expression levels of BCR and linked signalling pathway molecules were inter-related with Lymph2Cx-based cell of origin (COO) types and overall survival (OS).

    RESULTS: Activated B-cell (ABC) type DLBCL constituted 49% (39/79) compared with germinal centre B-cell (GCB) type DLBCL (29/79; 37%) and revealed poor prognosis (p=0.013). In ABC-DLBCL, high BTK expression exerted poor response to R-CHOP, while OS in ABC-DLBCL with low BTK expression was similar to GCB-DLBCL subtype (p=0.004). High LYN expression coupled with a poor OS for ABC-DLBCL as well as GCB-DLBCL subtypes (p=0.001). Furthermore, high coexpression of BTK/LYN (BTKhigh/LYNhigh) showed poor OS (p=0.019), which linked with upregulation of several genes associated with BCR repertoire and nuclear factor-kappa B pathway (p<0.01). In multivariate analysis, high BTK and LYN expression retained prognostic significance against established clinical predictive factors such as age, International Prognostic Index and COO (p<0.05).

    CONCLUSIONS: Our data provide a clear association between high BCR activity in DLBCL and response to therapy in a distinct population. Molecular data provided here will pave the pathway for the provision of promising novel-targeted therapies to patients with DLBCL in Southeast Asia.

    Matched MeSH terms: Clinical Decision-Making
  7. Ludin SM
    Intensive Crit Care Nurs, 2018 Feb;44:1-10.
    PMID: 28663105 DOI: 10.1016/j.iccn.2017.06.002
    BACKGROUND: A critical thinker may not necessarily be a good decision-maker, but critical care nurses are expected to utilise outstanding critical thinking skills in making complex clinical judgements. Studies have shown that critical care nurses' decisions focus mainly on doing rather than reflecting. To date, the link between critical care nurses' critical thinking and decision-making has not been examined closely in Malaysia.

    AIM: To understand whether critical care nurses' critical thinking disposition affects their clinical decision-making skills.

    METHOD: This was a cross-sectional study in which Malay and English translations of the Short Form-Critical Thinking Disposition Inventory-Chinese Version (SF-CTDI-CV) and the Clinical Decision-making Nursing Scale (CDMNS) were used to collect data from 113 nurses working in seven critical care units of a tertiary hospital on the east coast of Malaysia. Participants were recruited through purposive sampling in October 2015.

    RESULTS: Critical care nurses perceived both their critical thinking disposition and decision-making skills to be high, with a total score of 71.5 and a mean of 48.55 for the SF-CTDI-CV, and a total score of 161 and a mean of 119.77 for the CDMNS. One-way ANOVA test results showed that while age, gender, ethnicity, education level and working experience factors significantly impacted critical thinking (p<0.05), only age and working experience significantly impacted clinical decision-making (p<0.05). Pearson's correlation analysis showed a strong and positive relationship between critical care nurses' critical thinking and clinical decision-making (r=0.637, p=0.001).

    CONCLUSION: While this small-scale study has shown a relationship exists between critical care nurses' critical thinking disposition and clinical decision-making in one hospital, further investigation using the same measurement tools is needed into this relationship in diverse clinical contexts and with greater numbers of participants. Critical care nurses' perceived high level of critical thinking and decision-making also needs further investigation.

    Matched MeSH terms: Clinical Decision-Making/methods*
  8. Jeger RV, Eccleshall S, Wan Ahmad WA, Ge J, Poerner TC, Shin ES, et al.
    JACC Cardiovasc Interv, 2020 06 22;13(12):1391-1402.
    PMID: 32473887 DOI: 10.1016/j.jcin.2020.02.043
    Although drug-eluting stents are still the default interventional treatment of coronary artery disease, drug-coated balloons (DCBs) represent a novel alternative therapeutic strategy in certain anatomic conditions. The effect of DCBs is based on the fast and homogenous transfer of antiproliferative drugs into the vessel wall during single balloon inflation by means of a lipophilic matrix without the use of permanent implants. Although their use is established for in-stent restenosis of both bare-metal and drug-eluting stents, recent randomized clinical data demonstrate a good efficacy and safety profile in de novo small-vessel disease and high bleeding risk. In addition, there are other emerging indications (e.g., bifurcation lesions, large-vessel disease, diabetes mellitus, acute coronary syndromes). Because the interaction among the different delivery balloon designs, doses, formulations, and release kinetics of the drugs used is important, there seems to be no "class effect" of DCBs. On the basis of the amount of recently published data, the International DCB Consensus Group provides this update of previous recommendations summarizing the historical background, technical considerations such as choice of device and implantation technique, possible indications, and future perspectives.
    Matched MeSH terms: Clinical Decision-Making
  9. Chen XW, Nazri Shafei M, Abdul Aziz Z, Nazifah Sidek N, Imran Musa K
    PeerJ, 2020;8:e8378.
    PMID: 32095319 DOI: 10.7717/peerj.8378
    Background: Diabetes and dyslipidemia are significantly associated with stroke recurrence, yet the evidence for this relationship is conflicting. Consequently, the parameters in the glucose and lipid profiles may inform us regarding their relationship with stroke recurrence, thus enhancing the physicians' clinical decision-making.

    Aim: This study sought to investigate whether glucose and lipid profiles could prognosticate stroke recurrence in Malaysia.

    Methods: We conducted a retrospective hospital-based study where we analyzed the first-ever stroke cases regarding about which the Malaysia National Stroke Registry was informed between 2009 and 2017, that fulfilled this study's criteria, and that were followed for stroke recurrence. Using the Cox proportional hazard regression analysis, we estimated the adjusted hazard ratios (HRs), which reflected the prognostic effect of the primary variables (i.e., glucose and lipid profiles on the first-stroke admission) on stroke recurrence.

    Results: Among the 8,576 first-ever stroke patients, 394 (4.6%) experienced a subsequent first stroke recurrence event. The prognostic effect measured by univariable Cox regression showed that, when unadjusted, ten variables have prognostic value with regards to stroke recurrence. A multivariable regression analysis revealed that glucose was not a significant prognostic factor (adjusted HR 1.28; 95% CI [1.00-1.65]), while triglyceride level was the only parameter in the lipid profile found to have an independent prognostication concerning stroke recurrence (adjusted HR: 1.28 to 1.36).

    Conclusions: Triglyceride could independently prognosticate stroke recurrence, which suggests the role of physicians in intervening hypertriglyceridemia. In line with previous recommendations, we call for further investigations in first-ever stroke patients with impaired glucose and lipid profiles and suggest a need for interventions in these patients.

    Matched MeSH terms: Clinical Decision-Making
  10. Ho, S.E., Koo, Y.L., Ismail, S., Hing, H.L., Widad, O., Chung, H.T., et al.
    Medicine & Health, 2013;8(2):73-80.
    MyJurnal
    Decision making in nursing is one of the most important skills nurses must apply and utilize in their nursing practice. The aim of this study was to determine the perception of clinical decision making ability among nursing students. A descriptive cross-sectional study was conducted in a tertiary hospital. A total of 54 nursing students were recruited using a modified version of Clinical Decision Making in Nursing Scale (CDMNS) adapted from Jenkins (1985). The findings showed good CDMNS score with mean and standard deviation of (124.24±12.713). The four sub-scales of CDMNS were: searching for alternative (33.24±4.821), canvassing (28.74±3.514), evaluation and re-evaluation (31.43±3.922), searching for information (30.83±4.765). Nineteen (35%) of the participants chose nursing as their first choice, whereas 35 participants (65%) did not. Thirthy seven (69%) participants were satisfied with their nursing competency, 17 (31%) were unsatisfied. There were significant differences between searching for alternatives, evaluation and re-evaluation, and nursing as their first choice (p=

    Study site: Nursing students, Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM)
    Matched MeSH terms: Clinical Decision-Making
  11. van der Werf ET, Redmond NM, Turnbull S, Thornton H, Thompson M, Little P, et al.
    Br J Gen Pract, 2019 Apr;69(681):e236-e245.
    PMID: 30858333 DOI: 10.3399/bjgp19X701837
    BACKGROUND: Severity assessments of respiratory tract infection (RTI) in children are known to differ between parents and clinicians, but determinants of perceived severity are unknown.

    AIM: To investigate the (dis)agreement between, and compare the determinants of, parent and clinician severity scores.

    DESIGN AND SETTING: Secondary analysis of data from a prospective cohort study of 8394 children presenting to primary care with acute (≤28 days) cough and RTI.

    METHOD: Data on sociodemographic factors, parent-reported symptoms, clinician-reported findings, and severity assessments were used. Kappa (κ)-statistics were used to investigate (dis) agreement, whereas multivariable logistic regression was used to identify the factors associated with illness severity.

    RESULTS: Parents reported higher illness severity (mean 5.2 [standard deviation (SD) 1.8], median 5 [interquartile range (IQR) 4-7]), than clinicians (mean 3.1 [SD 1.7], median 3 [IQR 2-4], P<0.0001). There was low positive correlation between these scores (+0.43) and poor inter-rater agreement between parents and clinicians (κ 0.049). The number of clinical signs was highly correlated with clinician scores (+0.71). Parent-reported symptoms (in the previous 24 hours) that were independently associated with higher illness severity scores, in order of importance, were: severe fever, severe cough, rapid breathing, severe reduced eating, moderate-to-severe reduced fluid intake, severe disturbed sleep, and change in cry. Three of these symptoms (severe fever, rapid breathing, and change in cry) along with inter/subcostal recession, crackles/crepitations, nasal flaring, wheeze, and drowsiness/irritability were associated with higher clinician scores.

    CONCLUSION: Clinicians and parents use different factors and make different judgements about the severity of children's RTI. Improved understanding of the factors that concern parents could improve parent-clinician communication and consultation outcomes.

    Matched MeSH terms: Clinical Decision-Making/methods*
  12. Hasanah CI
    Malays J Med Sci, 2003 Jul;10(2):60-5.
    PMID: 23386798
    Quality of life measures are designed to enable patients' perspectives on the impact of health and healthcare interventions on their lives to be assessed and taken into account in clinical decision-making and research. This paper discusses some approaches, methodological as well as interpretative issues of health related quality of life research.
    Matched MeSH terms: Clinical Decision-Making
  13. Ozer J, Alon G, Leykin D, Varon J, Aharonson-Daniel L, Einav S
    BMC Med Ethics, 2019 12 26;20(1):102.
    PMID: 31878920 DOI: 10.1186/s12910-019-0439-x
    BACKGROUND: The ethical principle of justice demands that resources be distributed equally and based on evidence. Guidelines regarding forgoing of CPR are unavailable and there is large variance in the reported rates of attempted CPR in in-hospital cardiac arrest. The main objective of this work was to study whether local culture and physician preferences may affect spur-of-the-moment decisions in unexpected in-hospital cardiac arrest.

    METHODS: Cross sectional questionnaire survey conducted among a convenience sample of physicians that likely comprise code team members in their country (Indonesia, Israel and Mexico). The questionnaire included details regarding respondent demographics and training, personal value judgments and preferences as well as professional experience regarding CPR and forgoing of resuscitation.

    RESULTS: Of the 675 questionnaires distributed, 617 (91.4%) were completed and returned. Country of practice and level of knowledge about resuscitation were strongly associated with avoiding CPR performance. Mexican physicians were almost twicemore likely to forgo CPR than their Israeli and Indonesian/Malaysian counterparts [OR1.84 (95% CI 1.03, 3.26), p = 0.038]. Mexican responders also placed greater emphasison personal and patient quality of life (p 

    Matched MeSH terms: Clinical Decision-Making*
  14. Chew KS, van Merrienboer JJG, Durning SJ
    BMC Med Educ, 2019 Jan 10;19(1):18.
    PMID: 30630472 DOI: 10.1186/s12909-018-1451-4
    BACKGROUND: Establishing a diagnosis is a complex, iterative process involving patient data gathering, integration and interpretation. Premature closure is a fallacious cognitive tendency of closing the diagnostic process before sufficient data have been gathered. A proposed strategy to minimize premature closure is the use of a checklist to trigger metacognition (the process of monitoring one's own thinking). A number of studies have suggested the effectiveness of this strategy in classroom settings. This qualitative study examined the perception of usability of a metacognitive mnemonic checklist called TWED checklist (where the letter "T = Threat", "W = What if I am wrong? What else?", "E = Evidence" and "D = Dispositional influence") in a real clinical setting.

    METHOD: Two categories of participants, i.e., medical doctors (n = 11) and final year medical students (Group 1, n = 5; Group 2, n = 10) participated in four separate focus group discussions. Nielsen's 5 dimensions of usability (i.e. learnability, effectiveness, memorability, errors, and satisfaction) and Pentland's narrative network were adapted as the framework to study the usability and the implementation of the checklist in a real clinical setting respectively.

    RESULTS: Both categories (medical doctors and medical students) of participants found that the TWED checklist was easy to learn and effective in promoting metacognition. For medical student participants, items "T" and "W" were believed to be the two most useful aspects of the checklist, whereas for the doctor participants, it was item "D". Regarding its implementation, item "T" was applied iteratively, items "W" and "E" were applied when the outcomes did not turn out as expected, and item "D" was applied infrequently. The one checkpoint where all four items were applied was after the initial history taking and physical examination had been performed to generate the initial clinical impression.

    CONCLUSION: A metacognitive checklist aimed to check cognitive errors may be a useful tool that can be implemented in the real clinical setting.

    Matched MeSH terms: Clinical Decision-Making/methods*
  15. Chew KS, van Merrienboer JJG, Durning SJ
    BMC Med Educ, 2017 Nov 29;17(1):234.
    PMID: 29187172 DOI: 10.1186/s12909-017-1078-x
    BACKGROUND: A key challenge clinicians face when considering differential diagnoses is whether the patient data have been adequately collected. Insufficient data may inadvertently lead to premature closure of the diagnostic process. This study aimed to test the hypothesis that the application of a mnemonic checklist helps to stimulate more patient data collection, thus leading to better diagnostic consideration.

    METHODS: A total of 88 final year medical students were assigned to either an educational intervention group or a control group in a non-equivalent group post-test only design. Participants in the intervention group received a tutorial on the use of a mnemonic checklist aimed to minimize cognitive errors in clinical decision-making. Two weeks later, the participants in both groups were given a script concordance test consisting of 10 cases, with 3 items per case, to assess their clinical decisions when additional data are given in the case scenarios.

    RESULTS: The Mann-Whitney U-test performed on the total scores from both groups showed no statistical significance (U = 792, z = -1.408, p = 0.159). When comparisons were made for the first half and the second half of the SCT, it was found that participants in the intervention group performed significantly better than participants in the control group in the first half of the test, with median scores of 9.15 (IQR 8.00-10.28) vs. 8.18 (IQR 7.16-9.24) respectively, U = 642.5, z = -2.661, p = 0.008. No significant difference was found in the second half of the test, with the median score of 9.58 (IQR 8.90-10.56) vs. 9.81 (IQR 8.83-11.12) for the intervention group and control group respectively (U = 897.5, z = -0.524, p = 0.60).

    CONCLUSION: Checklist use in differential diagnoses consideration did show some benefit. However, this benefit seems to have been traded off by the time and effort in using it. More research is needed to determine whether this benefit could be translated into clinical practice after repetitive use.

    Matched MeSH terms: Clinical Decision-Making/methods*
  16. Lim HM, Teo CH, Ng CJ, Chiew TK, Ng WL, Abdullah A, et al.
    JMIR Med Inform, 2021 Feb 26;9(2):e23427.
    PMID: 33600345 DOI: 10.2196/23427
    BACKGROUND: During the COVID-19 pandemic, there was an urgent need to develop an automated COVID-19 symptom monitoring system to reduce the burden on the health care system and to provide better self-monitoring at home.

    OBJECTIVE: This paper aimed to describe the development process of the COVID-19 Symptom Monitoring System (CoSMoS), which consists of a self-monitoring, algorithm-based Telegram bot and a teleconsultation system. We describe all the essential steps from the clinical perspective and our technical approach in designing, developing, and integrating the system into clinical practice during the COVID-19 pandemic as well as lessons learned from this development process.

    METHODS: CoSMoS was developed in three phases: (1) requirement formation to identify clinical problems and to draft the clinical algorithm, (2) development testing iteration using the agile software development method, and (3) integration into clinical practice to design an effective clinical workflow using repeated simulations and role-playing.

    RESULTS: We completed the development of CoSMoS in 19 days. In Phase 1 (ie, requirement formation), we identified three main functions: a daily automated reminder system for patients to self-check their symptoms, a safe patient risk assessment to guide patients in clinical decision making, and an active telemonitoring system with real-time phone consultations. The system architecture of CoSMoS involved five components: Telegram instant messaging, a clinician dashboard, system administration (ie, back end), a database, and development and operations infrastructure. The integration of CoSMoS into clinical practice involved the consideration of COVID-19 infectivity and patient safety.

    CONCLUSIONS: This study demonstrated that developing a COVID-19 symptom monitoring system within a short time during a pandemic is feasible using the agile development method. Time factors and communication between the technical and clinical teams were the main challenges in the development process. The development process and lessons learned from this study can guide the future development of digital monitoring systems during the next pandemic, especially in developing countries.

    Matched MeSH terms: Clinical Decision-Making
  17. Vepa A, Saleem A, Rakhshan K, Daneshkhah A, Sedighi T, Shohaimi S, et al.
    PMID: 34207560 DOI: 10.3390/ijerph18126228
    BACKGROUND: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, thus enabling risk-stratification and earlier clinical decision-making.

    METHODS: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks.

    RESULTS: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.

    Matched MeSH terms: Clinical Decision-Making
  18. Dilokthornsakul P, McQueen RB, Chaiyakunapruk N, Spackman E, Watanabe JH, Campbell JD
    Value Health Reg Issues, 2016 May;9:99-104.
    PMID: 27881269 DOI: 10.1016/j.vhri.2015.12.003
    Health technology assessment is a form of health policy research that provides policymakers with information relevant to decisions about policy alternatives. Findings from cost-effectiveness analysis (CEA) are one of the important aspects of health technology assessment. Nevertheless, the more advanced method of value of information (VOI), which is recommended by the International Society for Pharmacoeconomics and Outcomes Research and Society for Medical Decision Making Modeling Good Research Practices Task Force, has rarely been applied in CEA studies in Asia. The lack of VOI in Asian CEA studies may be due to limited understanding of VOI methods and what VOI can and cannot help policy decision makers accomplish. This concept article offers audiences a practical primer in understanding the calculation, presentation, and policy implications of VOI. In addition, it provides a rapid survey of health technology assessment guidelines and literature related to VOI in Asia and discusses the future directions of VOI use in Asia and its potential barriers. This article will enable health economists, outcomes researchers, and policymakers in Asia to better understand the importance of VOI analysis and its implications, leading to the appropriate use of VOI in Asia.
    Matched MeSH terms: Clinical Decision-Making
  19. Velayudhan BV, Idhrees M, Matalanis G, Park KH, Tang D, Sfeir PM, et al.
    J Cardiovasc Surg (Torino), 2020 Jun;61(3):285-291.
    PMID: 32337940 DOI: 10.23736/S0021-9509.20.11397-1
    Acute type A aortic dissection remains one of the most challenging conditions in aortic surgery. Despite the advancements in the field, the mortality rate still remains high. Though there is a general consensus that the ascending aorta should be replaced, the distal extension of the surgery still remains a controversy. Few surgeons argue for a conservative approach to reduce operative and postoperative morbidity while others considering the problems associated with "downstream problems" support an aggressive approach including a frozen elephant trunk. The cohort in the Indian subcontinent and APAC is far different from the western world. Many factors determine the decision for surgery apart from the pathology of the disease. Economy, availability of the suitable prosthesis, the experience of the surgeon, ease of access to the medical facility all contribute to the decision making to treat acute type A dissection.
    Matched MeSH terms: Clinical Decision-Making*
  20. Liou JM, Malfertheiner P, Lee YC, Sheu BS, Sugano K, Cheng HC, et al.
    Gut, 2020 12;69(12):2093-2112.
    PMID: 33004546 DOI: 10.1136/gutjnl-2020-322368
    OBJECTIVE: A global consensus meeting was held to review current evidence and knowledge gaps and propose collaborative studies on population-wide screening and eradication of Helicobacter pylori for prevention of gastric cancer (GC).

    METHODS: 28 experts from 11 countries reviewed the evidence and modified the statements using the Delphi method, with consensus level predefined as ≥80% of agreement on each statement. The Grading of Recommendation Assessment, Development and Evaluation (GRADE) approach was followed.

    RESULTS: Consensus was reached in 26 statements. At an individual level, eradication of H. pylori reduces the risk of GC in asymptomatic subjects and is recommended unless there are competing considerations. In cohorts of vulnerable subjects (eg, first-degree relatives of patients with GC), a screen-and-treat strategy is also beneficial. H. pylori eradication in patients with early GC after curative endoscopic resection reduces the risk of metachronous cancer and calls for a re-examination on the hypothesis of 'the point of no return'. At the general population level, the strategy of screen-and-treat for H. pylori infection is most cost-effective in young adults in regions with a high incidence of GC and is recommended preferably before the development of atrophic gastritis and intestinal metaplasia. However, such a strategy may still be effective in people aged over 50, and may be integrated or included into national healthcare priorities, such as colorectal cancer screening programmes, to optimise the resources. Reliable locally effective regimens based on the principles of antibiotic stewardship are recommended. Subjects at higher risk of GC, such as those with advanced gastric atrophy or intestinal metaplasia, should receive surveillance endoscopy after eradication of H. pylori.

    CONCLUSION: Evidence supports the proposal that eradication therapy should be offered to all individuals infected with H. pylori. Vulnerable subjects should be tested, and treated if the test is positive. Mass screening and eradication of H. pylori should be considered in populations at higher risk of GC.

    Matched MeSH terms: Clinical Decision-Making
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