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  1. Article ; Online: Clinical informatics training in medical school education curricula: a scoping review.

    Zainal, Humairah / Tan, Joshua Kuan / Xiaohui, Xin / Thumboo, Julian / Yong, Fong Kok

    Journal of the American Medical Informatics Association : JAMIA

    2022  Volume 30, Issue 3, Page(s) 604–616

    Abstract: Objectives: This scoping review evaluates the existing literature on clinical informatics (CI) training in medical schools. It aims to determine the essential components of a CI curriculum in medical schools, identify methods to evaluate the ... ...

    Abstract Objectives: This scoping review evaluates the existing literature on clinical informatics (CI) training in medical schools. It aims to determine the essential components of a CI curriculum in medical schools, identify methods to evaluate the effectiveness of a CI-focused education, and understand its delivery modes.
    Materials and methods: This review was informed by the methodological guidance of the Joanna Briggs Institute. Three electronic databases including PubMed, Scopus, and Web of Science were searched for articles discussing CI between January 2010 and December 2021.
    Results: Fifty-nine out of 3055 articles were included in our final analysis. Components of CI education include its utilization in clinical practice, ethical implications, key CI-related concepts, and digital health. Evaluation of educational effectiveness entails external evaluation by organizations external to the teaching institute, and internal evaluation from within the teaching institute. Finally, modes of delivery include various pedagogical strategies and teaching CI using a multidisciplinary approach.
    Discussion: Given the broad discussion on the required competencies, we propose 4 recommendations in CI delivery. These include situating CI curriculum within specific contexts, developing evidence-based guidelines for a robust CI education, developing validated assessment techniques to evaluate curriculum effectiveness, and equipping educators with relevant CI training.
    Conclusion: The literature reveals that CI training in the core curricula will complement if not enhance clinical skills, reiterating the need to equip students with relevant CI competencies. Furthermore, future research needs to comprehensively address current gaps in CI training in different contexts, evaluation methodologies, and delivery modes to facilitate structured training.
    MeSH term(s) Humans ; Schools, Medical ; Curriculum ; Medical Informatics/education
    Language English
    Publishing date 2022-12-21
    Publishing country England
    Document type Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1205156-1
    ISSN 1527-974X ; 1067-5027
    ISSN (online) 1527-974X
    ISSN 1067-5027
    DOI 10.1093/jamia/ocac245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Associations Between Mean HbA1c, HbA1c Variability, and Both Mortality and Macrovascular Complications in Patients with Diabetes Mellitus: A Registry-Based Cohort Study.

    Tan, Joshua Kuan / Lim, Gek Hsiang / Mohamed Salim, Nur Nasyitah / Chia, Sing Yi / Thumboo, Julian / Bee, Yong Mong

    Clinical epidemiology

    2023  Volume 15, Page(s) 137–149

    Abstract: Background: We investigate the association between mean HbA1c, HbA1c variability, and all-cause mortality and diabetes-related macrovascular complications in patients with diabetes.: Methods: We performed a retrospective cohort study using patients ... ...

    Abstract Background: We investigate the association between mean HbA1c, HbA1c variability, and all-cause mortality and diabetes-related macrovascular complications in patients with diabetes.
    Methods: We performed a retrospective cohort study using patients present in the Singapore Health Services diabetes registry (SDR) during 2013 to 2014. We assessed mean HbA1c using three models: a baseline mean HbA1c for 2013-14, the mean across the whole follow-up period, and a time-varying yearly updated mean. We assessed HbA1c variability at baseline using the patient's HbA1c variability score (HVS) for 2013-14. The association between mean HbA1c, HVS, and 6 outcomes were assessed using Cox proportional hazard models.
    Results: We included 43,837-53,934 individuals in the analysis; 99.3% had type 2 diabetes mellitus. The data showed a J-shaped distribution in adjusted hazard ratios (HRs) for all-cause mortality, ischemic heart disease, acute myocardial infarction, peripheral arterial disease, and ischemic stroke, with an increased risk of developing these outcomes at HbA1c <6% (42 mmol/mol) and ≥8% (64 mmol/mol). With the addition of HVS, the J-shaped distribution was maintained for the above outcomes, but HRs were greater at HbA1c <6.0% (42 mmol/mol) and reduced at HbA1c ≥8.0% (64 mmol/mol) when compared to models without HVS. The risk for all outcomes increased substantially with increasing glycaemic variability.
    Conclusion: Both low (<6.0% [42 mmol/mol]) and high (≥8.0% [64 mmol/mol]) levels of glycaemic control are associated with increased all-cause mortality and diabetes-related macrovascular complications. Glycaemic variability is independently associated with increased risk for these outcomes. Therefore, patients with stable glycaemic level of 6-8% (42-64mmol/mol) are at lowest risk of all-cause mortality and diabetes-related macrovascular complications.
    Language English
    Publishing date 2023-01-25
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2494772-6
    ISSN 1179-1349
    ISSN 1179-1349
    DOI 10.2147/CLEP.S391749
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Trends in diabetes-related complications in Singapore, 2013-2020: A registry-based study.

    Tan, Joshua Kuan / Salim, Nur Nasyitah Mohamed / Lim, Gek Hsiang / Chia, Sing Yi / Thumboo, Julian / Bee, Yong Mong

    PloS one

    2022  Volume 17, Issue 10, Page(s) e0275920

    Abstract: Background: Diabetes mellitus (DM) is a growing global health problem. In Singapore, the prevalence of Type 2 DM is rising, but comprehensive information about trends in DM-related complications is lacking.: Objectives: We utilized the Singapore ... ...

    Abstract Background: Diabetes mellitus (DM) is a growing global health problem. In Singapore, the prevalence of Type 2 DM is rising, but comprehensive information about trends in DM-related complications is lacking.
    Objectives: We utilized the Singapore Health Services (SingHealth) diabetes registry (SDR) to assess trends in DM micro and macro-vascular complications at the population level, explore factors influencing these trends.
    Methods: We studied trends for ten DM-related complications: ischemic heart disease (IHD), acute myocardial infarction (AMI), peripheral arterial disease (PAD) and strokes, diabetic eye complications, nephropathy, neuropathy, diabetic foot, major and minor lower extremity amputation (LEA). The complications were determined through clinical coding in hospital (inpatient and outpatient) and primary care settings within the SingHealth cluster. We described event rates for the complications in 4 age-bands. Joinpoint regression was used to identify significant changes in trends.
    Results: Among 222,705 patients studied between 2013 and 2020. 48.6% were female, 70.7% Chinese, 14.7% Malay and 10.6% Indian with a mean (SD) age varying between 64.6 (12.5) years in 2013 and 65.7 (13.2) years in 2020. We observed an increase in event rates in IHD, PAD, stroke, diabetic eye complications nephropathy, and neuropathy. Joinpoints was observed for IHD and PAD between 2016 to 2018, with subsequent plateauing of event rates. Major and minor LEA event rates decreased through the study period.
    Conclusion: We found that DM and its complications represent an important challenge for healthcare in Singapore. Improvements in the trends of DM macrovascular complications were observed. However, trends in DM microvascular complications remain a cause for concern.
    MeSH term(s) Amputation ; Diabetes Mellitus/epidemiology ; Diabetic Foot/epidemiology ; Diabetic Nephropathies ; Female ; Humans ; Male ; Middle Aged ; Peripheral Arterial Disease/epidemiology ; Registries ; Risk Factors ; Singapore/epidemiology
    Language English
    Publishing date 2022-10-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0275920
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Using the Johns Hopkins ACG Case-Mix System for population segmentation in a hospital-based adult patient population in Singapore.

    Tan, Joshua Kuan / Zhang, Xiaojin / Cheng, Dawn / Leong, Ian Yi Onn / Wong, Chia Siong / Tey, Jeannie / Loh, Shu Ching / Soh, Eugene Fidelis / Lim, Wei Yen

    BMJ open

    2023  Volume 13, Issue 3, Page(s) e062786

    Abstract: Objective: Population health management involves risk characterisation and patient segmentation. Almost all population segmentation tools require comprehensive health information spanning the full care continuum. We assessed the utility of applying the ... ...

    Abstract Objective: Population health management involves risk characterisation and patient segmentation. Almost all population segmentation tools require comprehensive health information spanning the full care continuum. We assessed the utility of applying the ACG System as a population risk segmentation tool using only hospital data.
    Design: Retrospective cohort study.
    Setting: Tertiary hospital in central Singapore.
    Participants: 100 000 randomly selected adult patients from 1 January to 31 December 2017.
    Intervention: Hospital encounters, diagnoses codes and medications prescribed to the participants were used as input data to the ACG System.
    Primary and secondary outcome measures: Hospital costs, admission episodes and mortality of these patients in the subsequent year (2018) were used to assess the utility of ACG System outputs such as resource utilisation bands (RUBs) in stratifying patients and identifying high hospital care users.
    Results: Patients placed in higher RUBs had higher prospective (2018) healthcare costs, and were more likely to have healthcare costs in the top five percentile, to have three or more hospital admissions, and to die in the subsequent year. A combination of RUBs and ACG System generated rank probability of high healthcare costs, age and gender that had good discriminatory ability for all three outcomes, with area under the receiver-operator characteristic curve (AUC) values of 0.827, 0.889 and 0.876, respectively. Application of machine learning methods improved AUCs marginally by about 0.02 in predicting the top five percentile of healthcare costs and death in the subsequent year.
    Conclusion: A population stratification and risk prediction tool can be used to appropriately segment populations in a hospital patient population even with incomplete clinical data.
    MeSH term(s) Humans ; Adult ; Retrospective Studies ; Singapore ; Prospective Studies ; Diagnosis-Related Groups ; Tertiary Care Centers
    Language English
    Publishing date 2023-03-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2022-062786
    Database MEDical Literature Analysis and Retrieval System OnLINE

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