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Nevin Manimala Statistics

Association between continuity of care and treatment outcomes in psychiatric patients in Germany: a prospective cohort study

BMC Psychiatry. 2023 Jan 19;23(1):52. doi: 10.1186/s12888-023-04545-x.

ABSTRACT

BACKGROUND: Continuity of care is considered an important treatment aspect of psychiatric disorders, as it often involves long-lasting or recurrent episodes with psychosocial treatment aspects. We investigated in two psychiatric hospitals in Germany whether the positive effects of relational continuity of care on symptom severity, social functioning, and quality of life, which have been demonstrated in different countries, can also be achieved in German psychiatric care.

METHODS: Prospective cohort study with a 20-months observation period comparing 158 patients with higher and 165 Patients with lower degree of continuity of care of two psychiatric hospitals. Patients were surveyed at three points in time (10 and 20 months after baseline) using validated questionnaires (CGI Clinical Global Impression rating scales, GAF Global Assessment of Functioning scale, EQ-VAS Euro Quality of Life) and patient clinical record data. Statistical analyses with analyses of variance with repeated measurements of 162 patients for the association between the patient- (EQ-VAS) or observer-rated (CGI, GAF) outcome measures and continuity of care as between-subject factor controlling for age, sex, migration background, main psychiatric diagnosis group, duration of disease, and hospital as independent variables.

RESULTS: Higher continuity of care reduced significantly the symptom severity with a medium effect size (p 0.036, eta 0.064) and increased significantly social functioning with a medium effect size (p 0.023, eta 0.076) and quality of life but not significantly and with only a small effect size (p 0.092, eta 0.022). The analyses of variance suggest a time-independent effect of continuity of care. The duration of psychiatric disease, a migration background, and the hospital affected the outcome measures independent of continuity of care.

CONCLUSION: Our results support continuity of care as a favorable clinical aspect in psychiatric patient treatment and encourage mental health care services to consider health service delivery structures that increase continuity of care in the psychiatric patient treatment course. In psychiatric health care services research patients’ motives as well as methodological reasons for non-participation remain considerable potential sources for bias.

TRIAL REGISTRATION: This prospective cohort study was not registered as a clinical intervention study because no intervention was part of the study, neither on the patient level nor the system level.

PMID:36658554 | DOI:10.1186/s12888-023-04545-x

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Nevin Manimala Statistics

Evaluation of labor and childbirth care by nurse-midwives in Brazilian private hospitals: results of a quality improvement project

Reprod Health. 2023 Jan 19;20(Suppl 2):17. doi: 10.1186/s12978-022-01537-0.

ABSTRACT

BACKGROUND: In 2015, a quality improvement project-the “Adequate Childbirth Project” (Projeto Parto Adequado, or PPA)-was implemented in Brazilian private hospitals with the goal of reducing unnecessary cesarean sections. One of the strategies adopted by the PPA was the implementation of labor and childbirth care by nurse-midwives. The objective of this study is to evaluate the results of the PPA in the implementation and adequacy of labor and childbirth care by nurse-midwives in Brazilian private hospitals.

METHODS: Cross-sectional, hospital-based study, carried out in 2017, in 12 hospitals participating in the PPA. We assessed the proportion of women assisted by nurse-midwives during labor and childbirth care and the adequacy of 13 care practices following parameters of the World Health Organization. Women assisted in the PPA model of care and in the standard of care model were compared using the chi-square statistical test.

RESULTS: 4798 women were interviewed. Women in the PPA model of care had a higher proportion of labor (53% × 24.2%, p value < 0.001) and vaginal birth (32.7% × 11.3%, p value < 0.001), but no significant differences were observed in the proportion of women assisted by nurse-midwives during labor (54.8% × 50.1%, p value = 0.191) and vaginal birth (2.2% × 0.7%, p value = 0.142). The implementation of recommended practices was adequate, except the use of epidural analgesia for pain relief, which was intermediate. There was a greater use of recommended practices including “oral fluid and food”, “maternal mobility and position”, “monitoring of labor”, “use of non-pharmacological methods for pain relief” and “epidural analgesia for pain relief” in women assisted by nurse-midwives in relation to those assisted only by doctors. Many non-recommended practices were frequently used during labor by nurse-midwives and doctors.

CONCLUSIONS: There was an increase in the proportion of women with labor and vaginal birth in the PPA model of care and an appropriate use of recommended practices in women assisted by nurse-midwives. However, there was no difference in the proportion of women assisted by nurse-midwives in the two models of care. The expansion of nursing participation and the reduction of overused practices remain challenges.

PMID:36658552 | DOI:10.1186/s12978-022-01537-0

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Nevin Manimala Statistics

The classification of flash visual evoked potential based on deep learning

BMC Med Inform Decis Mak. 2023 Jan 19;23(1):13. doi: 10.1186/s12911-023-02107-5.

ABSTRACT

BACKGROUND: Visual electrophysiology is an objective visual function examination widely used in clinical work and medical identification that can objectively evaluate visual function and locate lesions according to waveform changes. However, in visual electrophysiological examinations, the flash visual evoked potential (FVEP) varies greatly among individuals, resulting in different waveforms in different normal subjects. Moreover, most of the FVEP wave labelling is performed automatically by a machine, and manually corrected by professional clinical technicians. These labels may have biases due to the individual variations in subjects, incomplete clinical examination data, different professional skills, personal habits and other factors. Through the retrospective study of big data, an artificial intelligence algorithm is used to maintain high generalization abilities in complex situations and improve the accuracy of prescreening.

METHODS: A novel multi-input neural network based on convolution and confidence branching (MCAC-Net) for retinitis pigmentosa RP recognition and out-of-distribution detection is proposed. The MCAC-Net with global and local feature extraction is designed for the FVEP signal that has different local and global information, and a confidence branch is added for out-of-distribution sample detection. For the proposed manual features,a new input layer is added.

RESULTS: The model is verified by a clinically collected FVEP dataset, and an accuracy of 90.7% is achieved in the classification task and 93.3% in the out-of-distribution detection task.

CONCLUSION: We built a deep learning-based FVEP classification algorithm that promises to be an excellent tool for screening RP diseases by using FVEP signals.

PMID:36658545 | DOI:10.1186/s12911-023-02107-5

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Nevin Manimala Statistics

Differences in the prevalence and risk factors of osteoporosis in chinese urban and rural regions: a cross-sectional study

BMC Musculoskelet Disord. 2023 Jan 19;24(1):46. doi: 10.1186/s12891-023-06147-w.

ABSTRACT

BACKGROUND: Bone mineral density (BMD) and prevalence of osteoporosis may differ between urban and rural populations. This study aimed to investigate the differences in BMD characteristics between urban and rural populations in Jiangsu, China.

METHODS: A total of 2,711 participants aged 20 years and older were included in the cross-sectional study. Multistage and stratified cluster random sampling was used as the sampling strategy. BMD was measured by the method of dual-energy x-ray absorptiometry (DXA). Data were collected through questionnaires/interview. BMD values at the lumbar spine (L1-L4), femoral neck, total hip, and greater trochanter were collected. Descriptive statistics were used to demonstrate the characteristics of urban and rural participants. Multivariate logistic regression analysis was utilized to analyze the factors that may be associated with osteoporosis in urban and rural populations.

RESULTS: Of these participants, 1,540 (50.49%) were females and 1,363 (42.14%) were from urban. The prevalence of osteoporosis in urban and rural populations was 5.52% and 10.33%, respectively. In terms of gender, the prevalence of osteoporosis was 2.68% in males and 13.82% in females. For menopausal status, the prevalence of osteoporosis was 30.34% in postmenopausal females and 4.78% in premenopausal females. In urban populations, older age [adjusted odds ratio (AOR) = 2.36, 95%CI, 2.35-2.36), hypertension (AOR = 1.37, 95%CI, 1.36-1.37), unmarried (AOR = 4.04, 95%CI, 3.99-4.09), smoking everyday (AOR = 2.26, 95%CI, 2.23-2.28), family history of osteoporosis (AOR = 1.66, 95%CI, 1.65-1.67), dyslipidemia (AOR = 1.05, 95%CI, 1.04-1.05), and higher β-crosslaps (β-CTX) level (AOR = 1.02, 95%CI, 1.02-1.02) were associated with an increased risk of osteoporosis, while males (AOR = 0.04, 95%CI, 0.04-0.04), higher education level (AOR = 0.95, 95%CI, 0.95-0.95), and aquatic product intake (AOR = 0.99, 95%CI, 0.99-0.99) were related to decreased risk of osteoporosis. Similar results were also observed in rural populations, and (all P < 0.05).

CONCLUSION: The prevalence of osteoporosis in rural populations was higher than that in urban populations, and the factors associated with the risk of osteoporosis were similar in urban and rural populations.

PMID:36658540 | DOI:10.1186/s12891-023-06147-w

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Nevin Manimala Statistics

Associations between gestational weight gain and adverse neonatal outcomes: a comparison between the US and the Chinese guidelines in Chinese women with twin pregnancies

BMC Public Health. 2023 Jan 19;23(1):134. doi: 10.1186/s12889-023-15008-z.

ABSTRACT

BACKGROUND: Appropriate gestational weight gain (GWG) is essential for maternal and fetal health. For twin pregnancies among Caucasian women, the Institute of Medicine (IOM) guidelines can be used to monitor and guide GWG. We aimed to externally validate and compare the IOM guidelines and the recently released guidelines for Chinese women with twin pregnancies regarding the applicability of their recommendations on total GWG (TGWG).

METHOD: A retrospective cohort study of 1534 women who were aged 18-45 years and gave birth to twins at ≥ 26 gestational weeks between October 2016 and June 2020 was conducted in Guangzhou, China. Women’s TGWG was categorized into inadequate, optimal, and excess per the IOM and the Chinese guidelines. Multivariable generalized estimating equations logistic regression was used to estimate the risk associations between TGWG categories and adverse neonatal outcomes. Cohen’s Kappa coefficient was calculated to evaluate the agreement between the IOM and the Chinese guidelines.

RESULTS: Defined by either the IOM or the Chinese guidelines, women with inadequate TGWG, compared with those with optimal TGWG, demonstrated higher risks of small-for-gestational-age birth and neonatal jaundice, while women with excess TGWG had a higher risk of delivering large-for-gestational-age infants. The agreement between the two guidelines was relatively high (Kappa coefficient = 0.721). Compared with those in the optimal TGWG group by both sets of the guidelines, women classified into the optimal group by the Chinese guidelines but into the inadequate group by the IOM guidelines (n = 214) demonstrated a statistically non-significant increase in the risk of all the adverse neonatal outcomes combined.

CONCLUSIONS: The IOM and the Chinese guidelines are both applicable to Chinese women with twin pregnancies.

PMID:36658532 | DOI:10.1186/s12889-023-15008-z

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Nevin Manimala Statistics

Experiential student study groups: perspectives on medical education in the post-COVID-19 period

BMC Med Educ. 2023 Jan 19;23(1):42. doi: 10.1186/s12909-023-04006-9.

ABSTRACT

BACKGROUND: Undergraduate medical curricula often fail to integrate experiential learning methodologies. Thus, a pilot series of interactive pathology lessons was designed and implemented in an attempt to promote experiential learning.

METHODS: Thirty pre-graduate medical students voluntarily participated in the interactive study groups at the First Department of Pathology of the National and Kapodistrian University of Athens, Medical School. A questionnaire was designed to investigate the satisfaction of students regarding their participation in pathology study groups and to identify the characteristics that shape students’ perceptions of the foundations of medical education. Descriptive statistics (mean values) were used to describe the students’ evaluations of the pathology study groups, and thematic analysis was conducted to investigate the data collected using open-ended questions.

RESULTS: Interactions with the professor and the option of co-observing the slides using dual-view optical microscopes and virtual slides were each evaluated as “Excellent” by ≅ 95% of the students. Four overarching themes were identified regarding the core characteristics of medical education according to the students’ perspectives: 1) educational background in medical education, 2) interaction with educators in medical education, 3) educational material in medical education and 4) assessment in medical education.

CONCLUSIONS: The high rates of acceptance of the pathology study groups reflect the desire and need for active learning methodologies to be implemented in modern medical education. Nearly all the students mentioned the need for practical skill acquisition, the integration of theory into practice and ethics in medical education. The success of these optional pathology study groups highlights the need for similar modalities to be incorporated into the main medical education curriculum.

PMID:36658528 | DOI:10.1186/s12909-023-04006-9

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Nevin Manimala Statistics

Abortion terminology preferences: a cross-sectional survey of people accessing abortion care

BMC Womens Health. 2023 Jan 19;23(1):26. doi: 10.1186/s12905-022-02152-8.

ABSTRACT

BACKGROUND: Abortion stigma likely affects the terminology abortion patients, providers and the public use or avoid using to refer to abortion care. Knowing the terminology people seeking abortion prefer could help inform the language used in clinical interactions and improve patients’ experiences with abortion care. However, research in the U.S. has not examined patients’ preferences in this area or whether terminology preferences vary by participant characteristics, in the way that experiences of stigma vary across different contexts and communities. This study aims to describe preferred terminology among people presenting for abortion care and to explore the pregnancy-related characteristics associated with these preferences.

METHODS: We surveyed abortion patients about their experiences accessing abortion care, including preferred terms for the procedure. Respondents could mark more than one term, suggest their own term, or indicate no preference. We recruited people ages 15-45 seeking abortion from four U.S. abortion facilities located in three states (California, Illinois, and New Mexico) from January to June 2019. We used descriptive statistics and multivariable multinomial logistic regression to explore associations between respondents’ pregnancy-related characteristics and their preferred terminology.

RESULTS: Among the 1092 people approached, 784 (77%) initiated the survey and 697 responded to the terminology preference question. Most participants (57%, n = 400) preferred only one term. Among those participants, “abortion” (43%) was most preferred, followed by “ending a pregnancy” (29%), and “pregnancy termination” (24%). In adjusted multivariable models, participants who worried “very much” that other people might find out about the abortion (29%) were significantly more likely than those who were “not at all” worried (13%) to prefer “ending a pregnancy” over having no preference for a term (adjusted relative risk ratio: 2.68, 95% Confidence Interval: 1.46-4.92).

CONCLUSIONS: People seeking abortion have varied preferences for how they want to refer to their abortions, in particular if they anticipate abortion stigma. Findings can be useful for clinicians and researchers so that they can be responsive to people’s preferences during clinical interactions and in the design and conduct of abortion research.

PMID:36658525 | DOI:10.1186/s12905-022-02152-8

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Nevin Manimala Statistics

Effects of opium use on one-year major adverse cardiovascular events (MACE) in the patients with ST-segment elevation MI undergoing primary PCI: a propensity score matched – machine learning based study

BMC Complement Med Ther. 2023 Jan 19;23(1):16. doi: 10.1186/s12906-023-03833-z.

ABSTRACT

BACKGROUND: Considerable number of people still use opium worldwide and many believe in opium’s health benefits. However, several studies proved the detrimental effects of opium on the body, especially the cardiovascular system. Herein, we aimed to provide the first evidence regarding the effects of opium use on one-year major adverse cardiovascular events (MACE) in the patients with ST-elevation MI (STEMI) who underwent primary PCI.

METHODS: We performed a propensity score matching of 2:1 (controls: opium users) that yielded 518 opium users and 1036 controls. Then, we performed conventional statistical and machine learning analyses on these matched cohorts. Regarding the conventional analysis, we performed multivariate analysis for hazard ratio (HR) of different variables and MACE and plotted Kaplan Meier curves. In the machine learning section, we used two tree-based ensemble algorithms, Survival Random Forest and XGboost for survival analysis. Variable importance (VIMP), tree minimal depth, and variable hunting were used to identify the importance of opium among other variables.

RESULTS: Opium users experienced more one-year MACE than their counterparts, although it did not reach statistical significance (Opium: 72/518 (13.9%), Control: 112/1036 (10.8%), HR: 1.27 (95% CI: 0.94-1.71), adjusted p-value = 0.136). Survival random forest algorithm ranked opium use as 13th, 13th, and 12th among 26 variables, in variable importance, minimal depth, and variable hunting, respectively. XGboost revealed opium use as the 12th important variable. Partial dependence plot demonstrated that opium users had more one-year MACE compared to non-opium-users.

CONCLUSIONS: Opium had no protective effects on one-year MACE after primary PCI on patients with STEMI. Machine learning and one-year MACE analysis revealed some evidence of its possible detrimental effects, although the evidence was not strong and significant. As we observed no strong evidence on protective or detrimental effects of opium, future STEMI guidelines may provide similar strategies for opium and non-opium users, pending the results of forthcoming studies. Governments should increase the public awareness regarding the evidence for non-beneficial or detrimental effects of opium on various diseases, including the outcomes of primary PCI, to dissuade many users from relying on false beliefs about opium’s benefits to continue its consumption.

PMID:36658513 | DOI:10.1186/s12906-023-03833-z

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Nevin Manimala Statistics

Novel method for assigning workplaces in synthetic populations unveiled

Synthetic populations are computer-generated models that mimic real-world populations in terms of characteristics such as age, gender, and occupation; they are useful when conducting social simulations. In a recent study, researchers developed a new approach to assign workplaces to individuals in a synthetic Japanese population with household information, based on ODI (Origin-Destination-Industry) data. Their efforts will enable more accurate, realistic simulations of the day-time distribution of workers in Japan, helping to improve decision-making and planning.
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Nevin Manimala Statistics

Development and validation of a risk prediction model for the recurrence of foot ulcer with type 2 diabetes in China: A longitudinal cohort study based on a systematic review and meta-analysis

Diabetes Metab Res Rev. 2023 Jan 19:e3616. doi: 10.1002/dmrr.3616. Online ahead of print.

ABSTRACT

AIMS: To develop and validate a risk prediction model for Chinese patients with type 2 diabetes with the recurrence of diabetes foot ulcers (DFU) based on systematic review and meta-analysis.

METHODS: A prospective analysis was performed with 1333 participants and followed up for 60 months. Three models were analyzed using derived cohort. The risk factors were screened by meta-analysis and logistic regression, and the missing variables were interpolated by multiple imputation. The internal validation was performed by the bootstrap procedure, validation cohort was applied to the external validation. The performance of model was evaluated the area under the discrimination receiver Operating Characteristic Curve (ROC). The calibration and discrimination methods were used for the validation cohort. The variables were selected according to their clinical and statistical importance to construct the nomograms.

RESULTS: Three models were developed and validated. Model 1 included seven social and clinical indicators like Sex, DM duration, Previous DFU, Location of ulcer, Smoker, History of amputation and Foot deformity. Model 2 included four more indicators besides those in Model 1, which were Statin agents used, Antiplatelet agents used, SBP and BMI. Model 3 added further laboratory indicators to Model 2 such as LDL-C, HbA1C, FIB and BUN. In the derivation cohort, 20.1% (206/1027) participants with DFU were recurred as compared to the validation cohort, which was 38.2% (117/306). The AUC in the derivation cohort for Models1-3 were 0.781 (0.744-0.817), 0.843 (0.813-0.873) and 0.899 (0.876-0.922) respectively. The Youden index for Model 1-3 were 0.430, 0.559 and 0.653 respectively. Model 3 showed the highest sensitivity and specificity. All models performed well for both discrimination and calibration.

CONCLUSION: Model 1-2 were non-invasive, which indicated their role in general screening for patients at the high-risk of recurrence DFU. However, Model 3 offered a more specific screening due to its best performance in predicting the risk of DFU recurrence amongst three models. This article is protected by copyright. All rights reserved.

PMID:36657181 | DOI:10.1002/dmrr.3616