Categories
Nevin Manimala Statistics

Disparity in hospital beds’ allocation at the county level in China: an analysis based on a Health Resource Density Index (HRDI) model

BMC Health Serv Res. 2023 Nov 23;23(1):1293. doi: 10.1186/s12913-023-10266-4.

ABSTRACT

BACKGROUND: As approximately 3/4 of the population lives in county-level divisions in China, the allocation of health resources at the county level will affect the realization of health equity. This study aims to evaluate the disparity in hospital beds at the county level in China, analyze its causes, and discuss measures to optimize the allocation.

METHODS: Data were drawn from the Chinese County/City Statistical Yearbook (2001-2020). The health resource density index (HRDI) was applied to mediate between the influence of demographic and geographical factors on the allocation of hospital beds. The trends of HRDI allocation were evaluated through the growth incidence curve and the probability density function. The regional disparity in the HRDI was examined through the Lorenz curve, and Dagum Gini coefficient. The contribution of the Gini coefficient and its change were assessed by using the Dagum Gini decomposition method.

RESULTS: From 2000 to 2019, the number of hospital beds per thousand people at the county level in China increased dramatically by 1.49 times. From the aspect of the HRDI, there were large regional disparities at the national level, with a Gini coefficient of 0.367 in 2019 and in the three subregions. In 2019, the Gini coefficient of the HRDI exhibited regional variations, with the highest value observed in the western region, followed by the central region and the eastern region. Decomposition reveals that the contribution of interregional disparity changed from the dominant factor to the least important factor, accounting for 29.79% of the overall disparity and the contribution of trans-variation intensity increased from 29.19% to 39.75%, whereas the intraregional disparity remained stable at approximately 31% and became the second most important factor.

CONCLUSION: The regional disparity in hospital beds allocation at the county level in China was large and has not improved substantially. Trans-variation intensity was the main reason for the overall disparity and changes, and the intraregional disparity was more important than the interregional disparity for the overall disparity.

PMID:37996897 | DOI:10.1186/s12913-023-10266-4

Categories
Nevin Manimala Statistics

Embedding formal and experiential public and patient involvement training in a structured PhD programme: process and impact evaluation

Res Involv Engagem. 2023 Nov 24;9(1):105. doi: 10.1186/s40900-023-00516-4.

ABSTRACT

BACKGROUND: Incorporating Public and Patient Involvement (PPI) into doctoral research is valued by PhD funders and scholars. Providing early career researchers with appropriate training to develop skills to conduct meaningful PPI involvement is important. The Health Research Board (HRB) Collaborative Doctoral Award in MultiMorbidity programme (CDA-MM) embedded formal PPI training in its structured education. The four participating PhD scholars established a PPI panel comprising people living with two or more chronic conditions, presenting an opportunity for experiential PPI training. This study aimed to evaluate the process and impact of embedding PPI training in a structured PhD programme.

METHODS: This study was a longitudinal mixed-methods evaluation, conducted over 24 months (June 2020 to June 2022). A process evaluation provided an understanding of how PPI was embedded and explored the experiences of key stakeholders involved. An impact evaluation assessed the impact of embedding PPI training in the programme. Participants included PhD scholars, PPI contributors and PhD supervisors. The data collection and analysis was led by an independent researcher not aligned with the CDA-MM. Data collection methods included five focus groups, individual interviews (n = 6), an impact log, activity logs and group reflections. Qualitative data were analysed using thematic and content analysis and quantitative data analysed using descriptive statistics.

RESULTS: Embedding formal and experiential PPI training in a structured PhD programme is feasible. Both approaches to training are fundamental to building PPI capacity. Involvement of an experienced and knowledgeable PPI lead throughout is perceived as critical. The PPI panel approach offered a good example of embedded consultation and worked well in a structured PhD programme, providing PhD scholars with ample opportunities for learning about PPI and its implementation. For PPI contributors, culture was the most important indicator of quality and was positively evaluated. Key roles for PhD supervisors were identified. Embedding formal and experiential PPI training impacted positively on many different aspects of individual PhD research projects and on PhD scholars as researchers. There were positive impacts for PPI contributors and PhD supervisors.

CONCLUSIONS: Embedding formal and experiential PPI training in a structured PhD programme is a novel approach. The evaluation has identified a number of lessons that can inform future doctoral programmes seeking to embed formal and experiential PPI training.

PMID:37996882 | DOI:10.1186/s40900-023-00516-4

Categories
Nevin Manimala Statistics

The effect of sodium-glucose co-transporter-2 (SGLT2) inhibitors on blood interleukin-6 concentration: a systematic review and meta-analysis of randomized controlled trials

BMC Endocr Disord. 2023 Nov 24;23(1):257. doi: 10.1186/s12902-023-01512-1.

ABSTRACT

BACKGROUND: The low-grade chronic inflammation in diabetes plays an important role in development of cardiovascular and renal complications. Sodium-glucose co-transporter-2 (SGLT2) inhibitors are recognized as protective agents for cardio-renal complications. Interleukin-6 (IL-6) is positively associated with the pathophysiology of metabolic-related pathologies. The aim of this meta-analysis is to investigate the effect of SGLT2 inhibitors on blood IL-6 concentration in randomized controlled trials (RCTs).

METHODS: Embase, PubMed, and Scopus were systematically searched up to 1st of November 2023. The eligible studies were RCTs with adult population that had provided blood IL-6 for both control and intervention groups. Cochrane risk-of-bias tool were for study quality assessment. Data were analyzed using random effect model via Stata statistical software.

RESULTS: Eighteen studies with a total of 5311 patients were included. Of which 3222 and 2052 patients were in intervention and control arm, respectively. Of the total population, 49.7% were men. The study durations ranged from 8 to 52 weeks. The pooled analysis showed a significant association between the use of SGLT2 inhibitors and lower IL-6 levels (standardized mean difference (SMD) = -1.04, Confidence Interval (CI): -1.48; -0.60, I2 = 96.93%). Dapagliflozin was observed to have a higher IL-6-lowering effect (SMD = -1.30, CI: -1.89; -0.71, I2 = 92.52) than empagliflozin or canagliflozin. Sub-group analysis of control groups (SMD = -0.58 (-1.01, -0.15) and -1.35 (-2.00, -0.70 for the placebo and active control sub-groups, respectively) and duration of interventions (SMD = -0.78 (-1.28, -0.28) and -1.20 (-1.86, -0.55) for study duration of ≤ 12 and > 12 weeks, respectively) did not change the results. Meta-regression analysis showed a significant correlation between the level of HbA1c and IL-6-lowering efficacy of SGLT2 inhibitors.

CONCLUSION: IL-6 levels are significantly reduced with the use of SGLT2 inhibitors with HbA1c as the only marker influencing such reductions, and dapagliflozin had the highest potency. The anti-inflammatory effect of SGLT2 inhibitors supports their broader use to address diabetic complications related to inflammatory responses.

PMID:37996879 | DOI:10.1186/s12902-023-01512-1

Categories
Nevin Manimala Statistics

Variations in wait times for imaging services: a register-based study of self-reported wait times for specific examinations in Norway

BMC Health Serv Res. 2023 Nov 23;23(1):1287. doi: 10.1186/s12913-023-10284-2.

ABSTRACT

BACKGROUND: While the number of medical images has increased substantially, the demand has outpaced access, resulting in long wait times in many countries. Long wait times are a key problem for patient safety and quality of care as they can result in prolonged suffering, delayed diagnosis and treatment, as well as poorer prognosis and loss of lives. Surprisingly, little is known about wait times for imaging services.

OBJECTIVE: Investigate wait times for specific imaging services in Norway and to compare wait times with the total number of examinations and their development over time.

METHODS: Data from the wait time registry at the Norwegian Directorate of Health from 2018 to 2021 as well as data on outpatient imaging provided by the Norwegian Health Economics Administration (HELFO) and in-patient data afforded by fourteen hospital trusts and hospitals in Norway were analysed. Data include the total number of imaging examinations according to the Norwegian Classification of Radiological Procedures (NCRP). Analyses were performed with descriptive statistics.

RESULTS: Wait times vary through the months of the year. Conventional X-ray (XR) had the shortest wait times (3.0-4.4 weeks), and Magnetic Resonance Imaging (MRI) and ultrasound (US) had the lengthiest (8.7-12.0 and 7.9-11.4 weeks respectively). The wait times were lengthiest during the summer and winter holidays. Variations in wait times were also found for specific examination types between Norway’s four public health regions. In addition, there was variation over time within the health regions. The wait times with the private health providers were substantially lower than with the public health providers. From 2018 to 2021, the wait time for MRIs increased by 6.6%, while the number of examinations (per 10,000) increased by 8.6%. Those regions with the highest number of examinations per 1,000 inhabitants per year had the lowest wait times.

CONCLUSION: Wait times for diagnostic imaging procedures varied with time, region, and modality in Norway from 2018 to 2021. Long wait times may entail many negative consequences for patients, professionals, and the healthcare system. Reducing long wait times is an obvious way to improve the quality, safety, and efficiency of care.

PMID:37996873 | DOI:10.1186/s12913-023-10284-2

Categories
Nevin Manimala Statistics

Tomographic analysis of relationship of mandibular morphology and third molars eruption

BMC Oral Health. 2023 Nov 23;23(1):915. doi: 10.1186/s12903-023-03653-0.

ABSTRACT

BACKGROUND: Lower third molars (L3M) are the last teeth to erupt in the oral cavity. Uneruption of these teeth still raises questions about its causes, in the literature (1) genetic factors, (2) dental lamina activity and, mainly, (3) insufficient growth and development of the bone bases are included. While the lack of space theory influenced by mandibular morphology and size of L3M was argued to be the main reason for L3M impaction, there is a limitation in the literature in examining such association using more accurate tomographic analysis obtained from CBCT. This work aimed to evaluate the relationship between mandibular morphology and the eruption of L3M.

METHODS: In this regard, 85 Cone Beam Computed Tomographies (CBCT), with 147 L3M, were selected from the archives of the Department of Surgery, Stomatology, Pathology and Radiology, Bauru School of Dentistry, obtained using an Accuitomo® Morita device and using the Dolphin Imaging 11.9 software. L3M eruption was related to linear measurements of jaw length (Co-Gn), retromolar space dimension (D2R), mesiodistal width of the L3M crowns, mandibular first molars (L1M) and mandibular canines (LC) and the angle mandibular (Ar-Go-Me). Independent samples t-test, chi-square tests and logistic regression were performed adopting a significance level of 5%.

RESULTS: The average mandible length of 116.446 mm + 6.415 mm, retromolar space of 11.634 mm + 2.385 mm, mesiodistal size of the L3M of 10.054 mm + 0.941 mm, sum of the mesiodistal widths of the L1M and LC of 15.564 mm + 1.218 mm and mandibular angle of 127.23° + 6.109. There was no statistically significant association between these factors and the eruption.

CONCLUSION: With the results obtained in this study, we conclude that the length and angle of the mandible, teeth size and dimension of the retromolar space are not associated with the L3M eruption.

PMID:37996868 | DOI:10.1186/s12903-023-03653-0

Categories
Nevin Manimala Statistics

Assessing the impact of socioeconomic status on incidental lung nodules at an urban safety net hospital

BMC Pulm Med. 2023 Nov 23;23(1):469. doi: 10.1186/s12890-023-02726-8.

ABSTRACT

INTRODUCTION: Lower socioeconomic status has been identified as an emerging risk factor for health disparities, including lung cancer outcomes. Most research investigating these outcomes includes patients from formal lung cancer screening programs. There is a paucity of studies assessing the relationship between socioeconomic status and incidental lung nodules. This study aimed to investigate the association between socioeconomic status and the size of incidental lung nodules on initial presentation at an urban safety net hospital, which did not have a formal lung cancer screening program or incidental lung nodule program.

METHODS: A retrospective chart review was conducted on patients with incidental lung nodules on CT chest imaging who were referred from primary care to a pulmonology clinic at a safety net hospital. Patients with incomplete nodule characteristics information were excluded. Data on demographics, comorbidities, smoking history, insurance type, immigration status, and geographical factors were collected. Less commonly studied determinants such as crime index, cost of living, and air quality index were also assessed. Logistic regression analysis was performed to assess relationships between nodule size and socioeconomic determinants.

RESULTS: Out of 3,490 patients with chest CT scans, 268 patients with ILNs were included in the study. 84.7% of patients represented racial or ethnic minorities, and most patients (67.8%) had federal insurance. Patients with non-commercial insurance were more likely to have larger, inherently higher-risk nodules (> 8 mm) compared to those with commercial insurance (OR 2.18, p 0.01). Patients from areas with higher unemployment rates were also less likely (OR 0.75, p 0.04) to have smaller nodules (< 6 mm). Patients representing racial or ethnic minorities were also more likely to have nodules > 8 mm (OR 1.6, p 0.24), and less likely to have nodules < 6 mm (OR 0.6, p 0.32), however, these relationships were not statistically significant.

CONCLUSION: This study found that lower socioeconomic status, indicated by having non-commercial insurance, was associated with larger incidental lung nodule size on initial presentation. While it is established that socioeconomic status is associated with disparities in lung cancer screening, these findings suggest that inequalities may also be present in those with incidental lung nodules. Further research is needed to understand the underlying mechanisms and develop interventions to address these disparities in incidental lung nodule evaluation and improve outcomes.

PMID:37996867 | DOI:10.1186/s12890-023-02726-8

Categories
Nevin Manimala Statistics

The practice of breast self-examination and associated factors among female healthcare professionals working in selected hospitals in Kigali, Rwanda: a cross sectional study

BMC Womens Health. 2023 Nov 23;23(1):622. doi: 10.1186/s12905-023-02776-4.

ABSTRACT

BACKGROUND: Breast self-examination (BSE) is considered one of the main screening methods in detecting earlier stages of breast cancer. It is a useful technique if practiced every month by women above 20 years considering that breast cancer among women globally contributed to 685,000 deaths in 2020. However, the practice of breast self-examination among healthcare professionals is low in many developing countries and it is not well known in Rwanda. Therefore, this research was intended to measure the level of breast self-examination practice and its associated factors among female healthcare professionals working in selected hospitals in Kigali, Rwanda.

METHODS: A cross-sectional study was conducted among 221 randomly selected female healthcare professionals in four district hospitals in Kigali, Rwanda. A self-administered structured questionnaire was used as data collection instrument. The predictor variables were socio-demographic and obstetrics variables, knowledge on breast cancer and breast self-examination as well as attitude towards breast cancer and breast self-examination. Sample statistics such as frequencies, proportions and mean were used to recapitulate the findings in univariate analysis. Multiple logistic regression analysis was employed to identify statistically significant variables that predict breast self-examination practice. Adjusted odds ratio with 95% confidence level were reported. P-value < 0.05 was used to declare statistical significance.

RESULTS: Breast self-examination was practiced by 43.5% of female healthcare professionals. This prevalence is low compared to other studies. Attitude towards breast self-examination and breast cancer was the only predictor variable that was significantly associated with breast self-examination practice [AOR = 1.032; 95% CI (1.001, 1.065), p-value = 0.042]. However, number of pregnancy and number of children were not significantly associated with BSE practice in the multi-variate analysis. In addition, there was a positive linear link between knowledge and attitude, with a correlation coefficient (r) of 0.186 (p = 0.005).

CONCLUSIONS: The breast self-examination practice among healthcare professionals was found to be low. Attitude towards breast cancer and breast self-examination was positively associated with BSE practice. Moreover, attitude and knowledge were positively correlated. This suggests the need for continuous medical education on breast self-examination and breast cancer to increase the knowledge & BSE practice level of female healthcare professionals.

PMID:37996866 | DOI:10.1186/s12905-023-02776-4

Categories
Nevin Manimala Statistics

Impact of relaxing incisions on maxillofacial growth following Sommerlad-Furlow modified technique in patients with isolated cleft palate: a preliminary comparative study

BMC Surg. 2023 Nov 23;23(1):358. doi: 10.1186/s12893-023-02247-5.

ABSTRACT

OBJECTIVE: To estimate the impact of relaxing incisions on maxillofacial growth following Sommerlad-Furlow modified technique in patients with isolated cleft palate.

STUDY DESIGN: A Retrospective Cohort Study.

METHODS: A total of 90 participants, 60 patients with non-syndromic isolated soft and hard cleft palate underwent primary palatoplasty (30 patients received the Sommerlad-Furlow modified technique without relaxing incision (S.F-RI group), and 30 received Sommerlad-Furlow modified technique with relaxing (S.F+RI group) with no significant difference found between them regarding the cleft type, cleft width, and age at repair. While the other 30 were healthy noncleft participants with skeletal class I pattern as a Control group. The control group (C group) was matched with the patient groups in number, age, and sex. All participants had lateral cephalometric radiographs at least 5 years old age. The lateral cephalometric radiographs were taken with the same equipment by the same experienced radiologist while the participants were in centric occlusion and a standardized upright position, with the transporionic axis and Frankfort horizontal plane parallel to the surface of the floor. A well-trained assessor (S. Elayah) used DOLPHIN Imaging Software to trace twice to eliminate measurement errors. All the study variables were measured using stable landmarks, including 12 linear and 10 angular variants.

RESULTS: The mean age at collection of cephalograms was 6.03 ± 0.80 in the S.F+RI group, 5.96 ± 0.76 in the S.F-RI group, and 5.91 ± 0.87 in the C group. Regarding cranial base, the results showed no statistically significant differences between the three groups in S-N and S-N-Ba. While the S.F+R.I group had a significantly shortest S-Ba than the S.F-R.I & C groups (P = 0.01 & P < 0.01), but there was no statistically significant difference between S.F-R.I & C groups (P = 0.71). Regarding the skeletal maxilla, there was no significant difference between the S.F+R.I and S.F-R.I groups in all linear measurements (N-ANS and S-PM) except Co-A, the S.F+R.I group had significantly shorter Co-A than the S.F-R.I & C groups (P = < 0.01). While the angular measurement, S.F+R.I group had significantly less SNA angle than the S.F-R.I & C groups (P = < 0.01). Regarding mandibular bone, there were no statistically significant differences in all linear and angular mandibular measurements between the S.F+R.I and S.F-R.I.groups. Regarding intermaxillary relation, the S.F+R.I group had significant differences in Co-Gn-Co-A and ANB compared to the S.F-R.I & C groups (P = < 0.01). While there was no statistically significant difference in PP-MP between the three groups.

CONCLUSION: As a preliminary report, the Sommerlad-Furlow modified technique without relaxing incisions was found to have a good maxillary positioning in the face and a satisfactory intermaxillary relationship compared to the Sommerlad-Furlow modified technique with relaxing incisions.

PMID:37996863 | DOI:10.1186/s12893-023-02247-5

Categories
Nevin Manimala Statistics

Clinical features and risk factors of plastic bronchitis caused by Mycoplasma pneumoniae pneumonia in children

BMC Pulm Med. 2023 Nov 23;23(1):468. doi: 10.1186/s12890-023-02766-0.

ABSTRACT

BACKGROUND: We analyzed the clinical characteristics of children with plastic bronchitis (PB) caused by Mycoplasma pneumoniae (MP) and explored its risk factors.

METHODS: We prospectively analyzed clinical data of children with MP pneumonia (MPP) treated with fiberoptic bronchoscopy (FB). Patients were classified into a PB and non-PB group. General information, clinical manifestations, laboratory tests, results of computed tomography scan, and FB findings were compared between groups. We conducted statistical analysis of risk factors for developing PB.

RESULTS: Of 1169 children who had MPP and were treated with FB, 133 and 1036 were in the PB and non-PB groups, respectively. There were no significant differences in sex, age, and incident season between groups (P > 0.05). The number of children in the PB group decreased during the COVID-19 pandemic. Compared with children in the non-PB group, those in the PB group had longer duration of hospitalization, increased levels of neutrophil (N), C-reactive protein (CRP), procalcitonin (PCT), D-dimer, lactate dehydrogenase (LDH), alanine transaminase (ALT) and aspartate transaminase (AST); lower levels of lymphocyte (L) and platelet (PLT); and higher incidence of lack of appetite, decreased breath sounds, single lobar infiltrate, pleural effusion, pericardial effusion, mucosal erosion and/or necrosis, and bronchial embolization. L levels and pleural effusion were identified as risk factors in multivariate logistic regression.

CONCLUSIONS: Children with PB caused by MPP had a strong and local inflammatory response. L levels and pleural effusion were independent risk factors of PB with MPP in children. Our findings will help clinicians identify potential PB in pediatric patients for early and effective intervention.

PMID:37996853 | DOI:10.1186/s12890-023-02766-0

Categories
Nevin Manimala Statistics

Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study

BMC Med Inform Decis Mak. 2023 Nov 23;23(1):270. doi: 10.1186/s12911-023-02376-0.

ABSTRACT

BACKGROUND: Acute kidney injury (AKI) after coronary artery bypass grafting (CABG) surgery is associated with poor outcomes. The objective of this study was to apply a new machine learning (ML) method to establish prediction models of AKI after CABG.

METHODS: A total of 2,780 patients from two medical centers in East China who underwent primary isolated CABG were enrolled. The dataset was randomly divided for model training (80%) and model testing (20%). Four ML models based on LightGBM, Support vector machine (SVM), Softmax and random forest (RF) algorithms respectively were established in Python. A total of 2,051 patients from two other medical centers were assigned to an external validation group to verify the performances of the ML prediction models. The models were evaluated using the area under the receiver operating characteristics curve (AUC), Hosmer-Lemeshow goodness-of-fit statistic, Bland-Altman plots, and decision curve analysis. The outcome of the LightGBM model was interpreted using SHapley Additive exPlanations (SHAP).

RESULTS: The incidence of postoperative AKI in the modeling group was 13.4%. Similarly, the incidence of postoperative AKI of the two medical centers in the external validation group was 8.2% and 13.6% respectively. LightGBM performed the best in predicting, with an AUC of 0.8027 in internal validation group and 0.8798 and 0.7801 in the external validation group. The SHAP revealed the top 20 predictors of postoperative AKI ranked according to the importance, and the top three features on prediction were the serum creatinine in the first 24 h after operation, the last preoperative Scr level, and body surface area.

CONCLUSION: This study provides a LightGBM predictive model that can make accurate predictions for AKI after CABG surgery. The LightGBM model shows good predictive ability in both internal and external validation. It can help cardiac surgeons identify high-risk patients who may experience AKI after CABG surgery.

PMID:37996844 | DOI:10.1186/s12911-023-02376-0