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  1. Article ; Online: Model for enhancing the research conducted by the university medical staff: Participatory action research

    Somnuke, Pawit / Punpocha, Pornpunsa / Punikhom, Ploythai / Panitrat, Rungnapa / Nivatpumin, Patchareya / Thanakiattiwibun, Chayanan / Ramlee, Rachaneekorn / Thongkaew, Nichapat / Siriussawakul, Arunotai

    Heliyon. 2023 Feb., v. 9, no. 2 p.e13208-

    2023  

    Abstract: This study employed mixed methods with a participatory action research approach to explore factors currently undermining the conduction of research and to develop strategies to boost research productivity. A questionnaire was distributed to 64 staff ... ...

    Abstract This study employed mixed methods with a participatory action research approach to explore factors currently undermining the conduction of research and to develop strategies to boost research productivity. A questionnaire was distributed to 64 staff members of the Department of Anesthesiology at a university-based hospital. Thirty-nine staff members (60.9%) gave informed consent and responses. Staff views were also collected through focus group discussions. The staff reported that limited research methodology skills, time management, and complex managerial processes were the limitations. Age, attitudes, and performance expectancy were significantly correlated with research productivity. A regression analysis demonstrated that age and performance expectancy significantly influenced research productivity. A Business Model Canvas (BMC) was implemented to gain insight into the goal of enhancing the conduct of research. Business Model Innovation (BMI) established a strategy to improve research productivity. The concept, comprising personal reinforcement (P), aiding systems (A), and a lifting-up of the value of research (L), the PAL concept, was considered key to enhancing the conduct of research, with the BMC providing details and integrating with the BMI. To upgrade the research performance, the involvement of management is imperative, and future action will involve the implementation of a BMI model to increase research productivity.
    Keywords econometric models ; focus groups ; hospitals ; questionnaires ; regression analysis ; time management ; Business model canvas (BMC) ; Business model innovation (BMI) ; Participatory action research (PAR) ; Theory of planned behavior (TPB)
    Language English
    Dates of publication 2023-02
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e13208
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Model for enhancing the research conducted by the university medical staff: Participatory action research.

    Somnuke, Pawit / Punpocha, Pornpunsa / Punikhom, Ploythai / Panitrat, Rungnapa / Nivatpumin, Patchareya / Thanakiattiwibun, Chayanan / Ramlee, Rachaneekorn / Thongkaew, Nichapat / Siriussawakul, Arunotai

    Heliyon

    2023  Volume 9, Issue 2, Page(s) e13208

    Abstract: This study employed mixed methods with a participatory action research approach to explore factors currently undermining the conduction of research and to develop strategies to boost research productivity. A questionnaire was distributed to 64 staff ... ...

    Abstract This study employed mixed methods with a participatory action research approach to explore factors currently undermining the conduction of research and to develop strategies to boost research productivity. A questionnaire was distributed to 64 staff members of the Department of Anesthesiology at a university-based hospital. Thirty-nine staff members (60.9%) gave informed consent and responses. Staff views were also collected through focus group discussions. The staff reported that limited research methodology skills, time management, and complex managerial processes were the limitations. Age, attitudes, and performance expectancy were significantly correlated with research productivity. A regression analysis demonstrated that age and performance expectancy significantly influenced research productivity. A Business Model Canvas (BMC) was implemented to gain insight into the goal of enhancing the conduct of research. Business Model Innovation (BMI) established a strategy to improve research productivity. The concept, comprising personal reinforcement (P), aiding systems (A), and a lifting-up of the value of research (L), the PAL concept, was considered key to enhancing the conduct of research, with the BMC providing details and integrating with the BMI. To upgrade the research performance, the involvement of management is imperative, and future action will involve the implementation of a BMI model to increase research productivity.
    Language English
    Publishing date 2023-01-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e13208
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Validity and reliability of the Thai version of the simple frailty questionnaire (T-FRAIL) with modifications to improve its diagnostic properties in the preoperative setting.

    T Sriwong, Warut / Mahavisessin, Waroonkarn / Srinonprasert, Varalak / Siriussawakul, Arunotai / Aekplakorn, Wichai / Limpawattana, Panita / Suraarunsumrit, Patumporn / Ramlee, Rachaneekorn / Wongviriyawong, Titima

    BMC geriatrics

    2022  Volume 22, Issue 1, Page(s) 161

    Abstract: Background: Several methods are available for identifying frailty, but limited tools have been validated in Thai context. Our objective was to evaluate the validity and reliability of the Thai version of the Simple Frailty Questionnaire (T- FRAIL) ... ...

    Abstract Background: Several methods are available for identifying frailty, but limited tools have been validated in Thai context. Our objective was to evaluate the validity and reliability of the Thai version of the Simple Frailty Questionnaire (T- FRAIL) compared to the Thai Frailty Index (TFI) and to explore modifications to improve its diagnostic properties.
    Methods: The T-FRAIL was translated with permission using a standardized protocol, that included forward and back-translation. Content validity analysis was performed using input from 5 geriatricians. Test-retest reliability, concurrent validity, diagnostic properties, and options to increase the sensitivity of the questionnaire were explored. A cross-sectional study for evaluation validity and reliability was carried out among 3 hundred patients aged 60 or more undergoing elective surgery at a university hospital.
    Results: The item content validity index (I-CVI) showed 1.0 for each questionnaire item. Test-retest reliability within a 7-day interval was done in 30 patients with a good intraclass correlation coefficient of 0.880. Compared with the TFI, the T-FRAIL yielded an excellent accuracy (area under the curve = 0.882). The identification of frailty using a score of 2 points or more provided the best Youden's index at 63.1 with a sensitivity of 77.5% (95% CI 69.0-84.6) and a specificity of 85.6% (95% CI 79.6-90.3). A cutoff point of 1 out of 5 items for original T-FRAIL provided a sensitivity of 93.3% and a specificity of 61.1%. The modified T-FRAIL (T-FRAIL_M1), by reducing the "illnesses" criterion to 4 or more diseases, at a cutoff point at 1 had a sensitivity of 94.2% and a specificity of 57.8%. Another modified T-FRAIL (T-FRAIL_M2), by combining three components, at a cutoff point at 1 yielded a sensitivity of 85.8% and a specificity of 80.6%.
    Conclusion: The T-FRAIL and its modification demonstrated satisfactory validity and reliability to identify frailty in elderly patients. The cutoff score of 1 point from 5 items from the original version of T-FRAIL and T-FRAIL_M1 provides a highly sensitive screening tool. T-FRAIL_M1 with a cutoff point of 2 and T-FRAIL_M2 yields reasonable sensitivity and specificity for practical use.
    MeSH term(s) Aged ; Cross-Sectional Studies ; Frail Elderly ; Frailty/diagnosis ; Geriatric Assessment/methods ; Humans ; Independent Living ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires ; Thailand/epidemiology
    Language English
    Publishing date 2022-02-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2059865-8
    ISSN 1471-2318 ; 1471-2318
    ISSN (online) 1471-2318
    ISSN 1471-2318
    DOI 10.1186/s12877-022-02863-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Factors influencing preoperative chest radiography request for elective endoscopic procedures among medical personnel.

    Somnuke, Pawit / Ramlee, Rachaneekorn / Ratanapaiboon, Waratchaya / Thommaaksorn, Passorn / Iramaneerat, Cherdsak / Duangekanong, Somsit / Siriussawakul, Arunotai

    PloS one

    2020  Volume 15, Issue 11, Page(s) e0242140

    Abstract: Background: Chest radiography is not routinely recommended before elective endoscopies. A high incidence of perioperative chest radiography requests was observed at our institution. This study aims to investigate factors influencing preoperative chest ... ...

    Abstract Background: Chest radiography is not routinely recommended before elective endoscopies. A high incidence of perioperative chest radiography requests was observed at our institution. This study aims to investigate factors influencing preoperative chest radiography request for patients undergoing elective gastrointestinal (GI) endoscopies.
    Methods: This cross-sectional clinical study recruited 264 participants from different medical specialties who were responsible for preoperative endoscopic chest x-ray (CXR) ordering including anesthesiologists, surgeons and gastroenterologists. They completed questionnaires exploring their general knowledge and attitudes about preoperative chest radiography. Demographic characteristic of the participants affecting the knowledge on preoperative chest radiography was determined. A Structural Equation Model (SEM) was constructed from validated conceptual framework to find causal relationships between hypothesized factors and intention for preoperative endoscopic chest radiography request. Statistical analyses were performed using the SPSS software version 18.0 and Analysis of Moment Structures (AMOS) version 18.0.
    Results: The questionnaire response rate was 53.79%. Baseline general knowledge on preoperative chest radiography of the participants was comparable. The SEM results showed unsupported relationship between hypothesized factors and the intention for preprocedural GI endoscopic CXR request (p < 0.1).
    Conclusions: General knowledge of medical personnel on tuberculosis needs improvement. To rectify the unnecessary chest radiography request before elective GI endoscopic procedures, awareness of the patients' health conditions, adherence to the hospital's policy and realizing of possible patient-related mishaps are not the determinants for preprocedural endoscopic chest radiography request. Future works are required to explore other alternative factors involved for reducing chest radiography requests which are not indicated.
    MeSH term(s) Academic Medical Centers ; Adult ; Anesthesiologists ; Attitude of Health Personnel ; Cross-Sectional Studies ; Diagnostic Tests, Routine ; Elective Surgical Procedures ; Endoscopy, Gastrointestinal ; Factor Analysis, Statistical ; Female ; Gastroenterologists ; Humans ; Male ; Preoperative Care ; Radiography, Thoracic/statistics & numerical data ; Surgeons ; Surveys and Questionnaires ; Tertiary Care Centers ; Tomography, X-Ray Computed ; Tuberculosis/diagnostic imaging
    Language English
    Publishing date 2020-11-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0242140
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Diagnosis of postoperative delirium in older adults using the Confusion Assessment Method for the intensive care unit in non-intensive care unit settings: A test modification might improve its diagnostic performance.

    Wongviriyawong, Titima / Sura-Arunsumrit, Patumporn / Chaiwat, Onuma / To-Adithep, Puriwat / Ramlee, Rachaneekorn / Srinonprasert, Varalak

    Geriatrics & gerontology international

    2019  Volume 19, Issue 8, Page(s) 762–767

    Abstract: Aim: To evaluate the diagnostic performance of the Confusion Assessment Method for the intensive care unit (CAM-ICU) among postoperative older patients in non-ICU settings.: Methods: The CAM-ICU was used by trained staff to prospectively evaluate ... ...

    Abstract Aim: To evaluate the diagnostic performance of the Confusion Assessment Method for the intensive care unit (CAM-ICU) among postoperative older patients in non-ICU settings.
    Methods: The CAM-ICU was used by trained staff to prospectively evaluate postoperative patients for delirium. The patients were aged ≥60 years, were in general wards and had no critical illnesses. The assessments occurred for 7 consecutive days after surgery. The results were compared with delirium diagnoses obtained by geriatricians using Diagnostic and Statistical Manual of Mental Disorders 5th edition criteria as the reference standard.
    Results: The sensitivity of delirium detection for the CAM-ICU was 31.6% (95% confidence interval [CI] 12.6-56.6), while the specificity was 97.6% (95% CI 94.9-99.1), positive predictive value was 50.0% (95% CI 26.3-73.7) and negative predictive value was 95.0% (95% CI 93.3-96.3). Feature 4 (disorganized thinking) yielded the highest sensitivity (60%; 95% CI 14.7-94.7), whereas feature 2 (inattention) had low sensitivity (36.8%; 95% CI 16.3-61.6). Further analyses to explore the highest sensitive criteria showed that if CAM-ICU diagnoses were made by the presence of any two out of feature 1 (acute change or fluctuation of cognition), feature 3 (altered level of consciousness) or feature 4, the sensitivity increased substantially to 80.0% (95% CI 28.4-99.5), with a reasonably high specificity of 81.8% (95% CI 48.2-97.7).
    Conclusions: Modification of the flow of delirium diagnosis using the CAM-ICU appears to offer a better sensitivity for detecting delirium in non-ICU settings. Furthermore, changing feature 2 to evaluate patients' attention levels over a longer period of time might yield a better diagnostic performance. Geriatr Gerontol Int 2019; 19: 762-767.
    MeSH term(s) Aged ; Confusion/diagnosis ; Confusion/etiology ; Critical Care/methods ; Delirium/diagnosis ; Delirium/etiology ; Diagnostic and Statistical Manual of Mental Disorders ; Female ; Geriatric Assessment/methods ; Humans ; Male ; Patients' Rooms ; Postoperative Cognitive Complications/diagnosis ; Predictive Value of Tests ; Reference Standards ; Reproducibility of Results ; Sensitivity and Specificity
    Language English
    Publishing date 2019-06-24
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2113849-7
    ISSN 1447-0594 ; 1444-1586
    ISSN (online) 1447-0594
    ISSN 1444-1586
    DOI 10.1111/ggi.13695
    Database MEDical Literature Analysis and Retrieval System OnLINE

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