Methods: Data from 160 hypertensive patients from a tertiary hospital in Kuala Lumpur, Malaysia, were used in this study. Variables were ranked based on their significance to adherence levels using the RF variable importance method. The backward elimination method was then performed using RF to obtain the variables significantly associated with the patients' adherence levels. RF, SVR and ANN models were developed to predict adherence using the identified significant variables. Visualizations of the relationships between hypertensive patients' adherence levels and variables were generated using SOM.
Result: Machine learning models constructed using the selected variables reported RMSE values of 1.42 for ANN, 1.53 for RF, and 1.55 for SVR. The accuracy of the dichotomised scores, calculated based on a percentage of correctly identified adherence values, was used as an additional model performance measure, resulting in accuracies of 65% (ANN), 78% (RF) and 79% (SVR), respectively. The Wilcoxon signed ranked test reported that there was no significant difference between the predictions of the machine learning models and the actual scores. The significant variables identified from the RF variable importance method were educational level, marital status, General Overuse, monthly income, and Specific Concern.
Conclusion: This study suggests an effective alternative to conventional methods in identifying the key variables to understand hypertensive patients' adherence levels. This can be used as a tool to educate patients on the importance of medication in managing hypertension.
AIM: Our aim is to develop and validate a pharmaceutical assessment screening tool (PAST) to guide medical ward pharmacists in our local hospitals to effectively prioritise patient care.
METHOD: This study involved 2 major phases; (1) development of PAST through literature review and group discussion, (2) validation of PAST using a three-round Delphi survey. Twenty-four experts were invited by email to participate in the Delphi survey. In each round, experts were required to rate the relevance and completeness of PAST criteria and were given chance for open feedback. The 75% consensus benchmark was set and criteria with achieved consensus were retained in PAST. Experts' suggestions were considered and added into PAST for rating. After each round, experts were provided with anonymised feedback and results from the previous round.
RESULTS: Three Delphi rounds resulted in the final tool (rearranged as mnemonic 'STORIMAP'). STORIMAP consists of 8 main criteria with 29 subcomponents. Marks are allocated for each criteria in STORIMAP which can be combined to a total of 15 marks. Patient acuity level is determined based on the final score and clerking priority is assigned accordingly.
CONCLUSION: STORIMAP potentially serves as a useful tool to guide medical ward pharmacists to prioritise patients effectively, hence establishing acuity-based pharmaceutical care.
Methods: We applied a retrospective approach using a top-down costing method to estimate the cost of health care services. Clinical and Administrative departments divided into cost centres, and the unit cost was calculated by dividing the total cost of final care cost centres into the total number of patients discharged in one year. The average cost of inpatient services was calculated based on the average cost of each ward and the number of patients treated.
Results: The average cost per patient stayed in KFCH was SAR 19,034, with the highest cost of SAR 108,561 for patients in the Orthopedic ward. The average cost of the patient in the Surgery ward, Plastic surgery, Neurosurgery, Medical ward, Pediatric ward and Gynecology ward was SAR 33,033, SAR 29,425, SAR 23,444, SAR 20,450, SAR 9579 and SAR 8636 respectively.
Conclusion: This study provides necessary information about the cost of health care services in a tertiary care setting. This information can be used as a primary tool and reference for further studies in other regions of the country. Hence, this data can help to provide a better understanding of tertiary hospital costing in the region to achieve the privatization objective.
METHOD: This is a retrospective observational study. Patients who were admitted to the Orthopaedic ward of Hospital Segamat (HS), Johor, Malaysia from January 2016 to December 2018 and required surgical intervention were included in the study. Data was collected from the computer system of HS and medical notes of patients.
RESULTS: 35.6% of the total orthopaedic emergency surgeries performed were for patients with diabetic foot infection, 25% of the surgical procedures performed were major amputations of lower limb and 40% of the patients with diabetic foot infection required more than one surgical operation.
DISCUSSION: The demographics of the patients is consistent with the demographics of Malaysia where majority of them are Malays followed by Chinese, Indians and others. Despite being only 10% of total admission to the department, this group of patients contributed to 35.6% of the total emergency surgeries performed. The amputation rate in the centre is comparable to the other local studies. The average length of stay in hospital was found to be shorter compared to overseas due to different rehabilitation protocols.
METHODS: This was a prospective cross-sectional study to determine the accuracy of the diagnosis of CAP and HAP admitted to Hospital Tuanku Ja'afar. All patients aged ≥12 years admitted to the general medical ward with the diagnosis of CAP or HAP were included in the study. Chest radiograph interpretation was done by certified radiologists. An accurate diagnosis of pneumonia was defined by clinical signs and symptoms of pneumonia supported by radiographical evidence.
RESULTS: A total of 159 patients were enrolled into the study from January 2018 to February 2018. Of these only 59(37.1%) cases were accurately diagnosed as pneumonia. Amongst those with pneumonia diagnosis made by the emergency department, medical officers and specialists of medical department; 65.4%, 60% and 47.3% respectively were not pneumonia. Amoxicillin with clavulanate and azithromycin were amongst the most common first choice of antibiotic used (46.5%). In this study, pathogens were isolated either by blood culture or sputum culture in only 20 (12.6%) patients. There was no significant predictive parameter identified in this study, which included white cell counts, Creactive protein (CRP) levels, erythrocyte sedimentation rate (ESR), and Pao2/FiO2 ratio.
CONCLUSION: About two-thirds of patients diagnosed with pneumonia did not have a compatible radiological finding. Better tools and systems are needed to aid in the diagnosis of pneumonia.
METHODS: This is a descriptive cross-sectional study comprising 350 selected radiographs of apparently healthy individuals collected for a period of one year, from the Department of Oral Radiology of a tertiary care centre of Nepal. Gonial angle measurements were recorded from digital panoramic radiograph (both right and left side) and lateral cephalogram. Data was collected in terms of age, gender, ethnicity, and skeletal malocclusion and then statistically analysed using the Statistical Package for the Social Sciences version 20.
RESULTS: The mean gonial angle for panoramic right, left and lateral cephalogram was 122.490±7.570, 123.620±7.060, and 124.150±6.910, respectively. There was a decrease in the mean values of the gonial angle observed as age advances seen in all the radiographs. The gonial angle measured in Class III malocclusion was higher in all the radiographs, followed by Class II and Class I. Gonial angles obtained in females were higher than the males in all the radiographs. Finally, the Aryan population showed a higher gonial angle compared to the Mongolian population in all the radiographs.
CONCLUSIONS: Panoramic radiograph (left side), could be considered as a reliable tool to measure the gonial angle.
METHODS: A total of 345 wound swab samples were tested for bacterial pathogens. Acinetobacter baumannii was identified by culture and biochemical tests. Antimicrobial susceptibility pattern was determined by the disc diffusion method according to CLSI standards. Extended spectrum beta-lactamases were screened using the double disc synergy technique. Gene encoding AdeB efflux pump and NDM-1 were detected by Polymerase Chain Reaction (PCR).
RESULTS: A total 22 (6.37%) Acinetobacter baumannii were identified from 345 wound swab samples and 20 (91%) of them were multidrug resistant. High resistance rates to some antibiotics were seen namely, cefotaxime (95%), amoxyclavulanic acid (90%) and ceftriaxone (82%). All the identified Acinetobacter baumannii were sensitive to colistin and 82% to imipenem. Two (9%) ESBL producing Acinetobacter baumannii strains were detected. adeB gene was detected in 16 (80%) out of 20 multidrug resistant Acinetobacter baumannii. 4 (18%) of 22 Acinetobacter baumannii were imipenem resistant. NDM-1 gene was detected in 2 (50%) of the imipenem resistant strains of Acinetobacter baumannii.
CONCLUSION: The results of this study provide insight into the role of adeB gene as a potential regulator of drug resistance in Acinetobacter baumanni in Bangladesh. NDM-1 gene also contributes in developing such resistance for Acinetobacter baumannii.
MATERIALS AND METHODS: A total of 42 S. pyogenes isolates from invasive and non-invasive samples collected from two different tertiary hospitals were investigated for the distribution of virulence factors and their molecular epidemiology by emm and multilocus sequence typing methods. Detection of five virulence genes (speA, speB, speJ, ssa and sdaB) was performed using multiplex polymerase chain reaction (PCR) using the standard primers and established protocol. Phylogenetic tree branches were constructed from sequence analysis utilised by neighbour joining method generated from seven housekeeping genes using MEGA X software.
RESULTS: Multiplex PCR analysis revealed that sdaB/speF (78.6%) and speB (61.9%) were the predominant virulence genes. Regardless of the type of invasiveness, diverse distribution of emm types/subtypes was noted which comprised of 27 different emm types/subtypes. The predominant emm types/subtypes were emm63 and emm18 with each gene accounted for 11.8% whereas 12% for each gene was noted for emm28, emm97.4 and emm91. The MLST revealed that the main sequence type (ST) in invasive samples was ST402 (17.7%) while ST473 and ST318 (12% for each ST) were the major types in non-invasive samples. Out of 18 virulotypes, Virulotype A (five genes, 55.6%) and Virulotype B (two genes, 27.8%) were the major virulotypes found in this study. Phylogenetic analysis indicated the presence of seven different clusters of S. pyogenes. Interestingly, Cluster VI showed that selected emm/ST types such as emm71/ST318 (n=2), emm70.1/ST318 (n=1), emm44/ST31 (n=1) and emm18/ST442 (n=1) have clustered within a common group (Virulotype A) for both hospitals studied.
CONCLUSION: The present study showed that group A streptococcci (GAS) are genetically diverse and possess virulence genes regardless of their invasiveness. Majority of the GAS exhibited no restricted pattern of virulotypes except for a few distinct clusters. Therefore, it can be concluded that virulotyping is partially useful for characterising a heterogeneous population of GAS in hospitals.
METHODS: Swab and fluid samples (n=358) from healthcare workers' hands, frequently touched surfaces, medical equipment, patients' immediate surroundings, ward sinks and toilets, and solutions or fluids of 12 selected wards were collected. Biochemical tests, PCR and 16S rRNA sequencing were used for identification following isolation from CHROMagar™ Orientation medium. Clinically important bacteria such as Enterococcus spp., Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter spp., Pseudomonas aeruginosa and Enterobacter spp. were further characterised by disc diffusion method and rep-PCR.
RESULTS: The 24 Gram-negative and 19 Gram-positive bacteria species identified were widely distributed in the hospital environment. Staphylococci were predominant, followed by Bacillus spp. and P. aeruginosa. Frequently touched surfaces, medical equipment, and ward sinks and toilets were the top three sources of bacterial species. Nine S. aureus, four Acinetobacter spp., one K. pneumoniae and one Enterobacter spp. were multidrug-resistant (MDR). The ESKAPE organisms were genetically diverse and widely dispersed across the hospital wards. A MDR MRSA clone was detected in a surgical ward isolation room.
CONCLUSION: The large variety of cultivable, clinically important bacteria, especially the genetically related MDR S. aureus, K. pneumoniae, Acinetobacter spp. and Enterobacter spp., from various sampling sites indicated that the surfaces and fomites in the hospital were potential exogenous sources of nosocomial infection in the hospital.
METHODS: This is a cross-sectional study that took place in a Malaysian tertiary hospital. Patients ≥ 65 years old with at least one medication on admission were recruited. The patients' prehospitalization medications were reviewed to identify PIMs/PPOs using version 2 of the STOPP/START criteria. HRQoL was assessed using the EuroQol-5 dimensions (EQ-5D) and EuroQol-visual analog scale (EQ-VAS). The association between the presence of PIM/PPO and the patients' HRQoL was analyzed using Chi-square and Mann-Whitney U tests. Multiple linear regression models were applied to determine the effect of exposure to PIM/PPO on the patients' HRQoL, adjusting for confounders.
RESULTS: Out of 517 patients who fulfilled the inclusion criteria, 502 patients (97%) accepted to be involved in the study and completed the HRQoL questionnaire. The mean (SD) age was 72.4 (5.9) years. 393 (78.3%) of the patients had problems in at least one EQ-5D dimension with pain/discomfort problem being the most reported complaint. The mean (SD) values of the EQ-5D index and the EQ-VAS were 0.734 (0.214) and 59.6 (14.2), respectively, which are lower than those seen in the general Malaysian population. PIM and PPO were found in 28.5% and 45.6% of the patients, respectively. No significant differences were found in the EQ-5D dimensions, EQ-5D index and EQ-VAS between patients who had PIM/PPO and those who did not. Age, sex, and comorbidities were significantly associated with the patients' HRQoL.
CONCLUSION: PIM and PPO are not uncommon among hospitalized elderly patients; however, it does not significantly affect their HRQoL as measured by the EQ-5D-3L instrument.
DESIGN: An accessor-blinded randomised controlled trial was carried out at the outpatient surgical clinic of a tertiary hospital. Patients were randomly assigned to the control group (received standard written and verbal instructions) or the experimental group (received an intensive and structured educational programme). All subjects completed a questionnaire before colonoscopy to assess their compliance, acceptability, and tolerability towards bowel preparation regime. Quality of bowel preparation was determined using the Boston Bowel Preparation Scale (BBPS).
RESULTS: A total of 300 subjects who fulfilled the inclusion criteria were recruited. The experimental group had a significantly higher proportion of good quality bowel preparation than the control group (98.7% vs 52.3%, p<0.001). The median total BBPS score was also significantly higher in the experimental group (8 vs 5, p<0.001). Factors associated with good quality of bowel preparation included educational programme (OR: 22.79, 95% CI: 4.23 to 122.85, p<0.001), compliance to bowel cleansing agent (OR: 24.98, 95% CI 3.12 to 199.71, p<0.001), very difficult acceptability of preparation (OR: 0.11, 95% CI 0.03 to 0.38, p<0.001), tolerability towards bowel preparation (OR: 4.98, 95% CI 1.44 to 17.20, p<0.011) and hypomotility drugs (OR: 3.03, 95% CI 0.12 to 0.91, p<0.05).
CONCLUSION: An intensive patient educational programme can significantly improve the quality of bowel preparation for colonoscopy.
Materials and Methods: An unblinded randomized controlled trial was undertaken at the dermatology clinic of a tertiary care hospital. Consent from the patients fulfilling inclusion criteria were obtained, and they were included in this study. They were randomized into two groups, namely Gp-1 (C and P labeling) and Gp-2 (conventional labeling). Both groups were assessed at week 0, 6, and 12 (visit 1, 2, and 3) using knowledge assessment list and psoriasis severity assessment score. For visit 2 (week 6), reinforcement of their understanding of topical treatment was performed.
Results: A total of 101 patients were recruited. Only 91 of them completed the study. The mean ages were 44.52 (±16.61) and 45.49 (±15.84) years, with 70.3% males and approximately half Malay ethnics. The changes of knowledge and comparison of Topical Application Assessment Score between the groups showed an incremental raise of significance with every visit (P = 0.006 [week 1], 0.004 [week 6], and 0.002 [week 12]). Psoriasis Area and Severity Index 75 could not draw any conclusion as patients who achieved >75% improvement were inadequate.
Conclusion: C and P labeling was effective in improving the understanding and knowledge of patients with psoriasis. Both groups showed improvement in body surface area and Dermatology Life Quality Index for every visit; however, it was statistically insignificant.
METHODS: Head and neck cancer patients were recruited from July 2016 till March 2017 at National Cancer Institute, Ministry of Health, Malaysia. All study participants continued their standard oncology surveillance. Treatment group participants additionally received Chinese herbal treatment. The assessments included unstimulated salivary flow rate (USFR), stimulated salivary flow rate (SSFR), and QoL questionnaire.
RESULTS: Of 42 recruited participants, 28 were in the treatment group and 14 were in the control group. Participants were mainly Chinese (71.4%), stage III cancer (40.5%), and had nasopharynx cancer (76.2%). The commonly used single herbs were Wu Mei, San Qi, and Tian Hua Fen. Sha Shen Mai Dong Tang, Liu Wei Di Huang Wan, and Gan Lu Yin were the frequently prescribed herbal formulas. The baseline characteristics, USFR, SSFR, and QoL between control and treatment groups were comparable (p > 0.05). USFR between control and treatment groups were similar throughout the 6-month study period. SSFR for the treatment group significantly improved from 0.15 ± 0.28 ml/min (baseline) to 0.32 ± 0.22 ml/min (p = 0.04; at the 3rd month) and subsequently achieved 0.46 ± 0.23 ml/min (p = 0.001; at the 6th month). The treatment group had better QoL in terms of speech (p = 0.005), eating (p = 0.02), and head and neck pain (p = 0.04) at the 6th month.
CONCLUSION: Herbal treatment may improve xerostomia and QoL in post-radiotherapy head and cancer patients.