Nevin Manimala

Head Face Med. 2022 Jul 13;18(1):26. doi: 10.1186/s13005-022-00330-5.

ABSTRACT

BACKGROUND: The aim was to evaluate the remineralization potential as well as the extent of protection against renewed demineralization of enamel by hydroxyapatite-containing toothpaste (Karex) in comparison to fluoride-containing (Elmex) and fluoride- and hydroxyapatite-free toothpaste (Ajona) as control.

METHODS: Fifty-seven enamel samples were obtained from 19 human teeth. Five demarcated surfaces were created on each tooth (S0-S4). Four of the surfaces (S1-S4) were exposed to lactic acid (pH 3) for 8 h (demineralization). S0 was left untreated as control. S1 was solely treated with acid. After demineralization, S2 was exposed to Karex for 2 min, of which 15 s were brushing. S3 was treated with Elmex and S4 with Ajona, accordingly. Then, the samples were evaluated using a scanning electron microscope and ImageJ image analysis software to determine the percentage of demineralization. Afterwards, S2-S4 were again exposed to lactic acid for 2 h, and subjected to pixel analysis another time. Data were statistically analysed using ANOVA with post-hoc Scheffé test and the Kurskal-Wallis test.

RESULTS: The surfaces treated with Elmex showed the lowest percentage of demineralization (mean 5.01 ± 0.98%) (p < 0.01). Thus, Elmex remineralized more effectively compared to Ajona (8.89 ± 1.41%) and Karex (9.85 ± 1.63%) (p < 0.01). Furthermore, Elmex showed the lowest percentage of demineralized enamel after new demineralization (median 6.29%), followed by Ajona (11.92%) and Karex (13.46%) (p < 0.001).

CONCLUSION: In terms of remineralization and protection against renewed demineralization, a hydroxyapatite-containing toothpaste (Karex) appears to be inferior to a fluoride-containing toothpaste (Elmex) and a fluoride- and hydroxyapatite-free toothpaste (Ajona). Hence, the recommendation to use Karex to protect against demineralization should be critically questioned.

PMID:35831871 | DOI:10.1186/s13005-022-00330-5

BMC Health Serv Res. 2022 Jul 13;22(1):909. doi: 10.1186/s12913-022-08304-8.

ABSTRACT

BACKGROUND: As a means of establishing a sustained and fair health care financing system, Ethiopia has planned and ratified a legal framework to introduce a social health insurance program for employees of the formal sector to protect them against financial and health burdens. However, the implementation has been delayed due to the resistance of public servants to pay the proposed premium. The aim of this study was to estimate the magnitude of willingness to pay the proposed amount of premium set by the government for the social health insurance program and the factors associated with it among public servants in Addis Ababa, Ethiopia.

METHODS: An institution-based cross-sectional study design was used to conduct the study. Multistage sampling was employed to select a total of 503 from 12 randomly selected public sectors. Data were collected using pretested, interviewer-administered structured questionnaires. A contingent valuation method with an iterative bidding game was used to elicit willingness to pay. Finally, logistic regression analysis was used to identify independent predictors of willingness to pay. Statistical significance was considered at P < 0.05 with adjusted odds ratios calculated at 95% CIs.

RESULTS: Only 35.4% were willing to pay the proposed premium (3% of their monthly salary). Those who had children from 6-18 years old (AOR = 3.252; 95% CI: 1.15, 9.22), had a history of unaffordable health service costs during the last 12 months (AOR = 9.631; 95% CI: 4.12, 22.52), and had prior information about the social health insurance program (AOR = 11.011, 95% CI. 3.735-32.462) were more likely to pay for the proposed social health insurance program compared to their counterparts.

CONCLUSION: The willingness to pay the proposed amount premium for social health insurance among public servants in Addis Ababa was very low that implies the implementation will be challenging. Thus, the government of Ethiopia should consider reviewing the amount of premium contributions expected from employees before implementing the social health insurance scheme.

PMID:35831860 | DOI:10.1186/s12913-022-08304-8

BMC Med Educ. 2022 Jul 13;22(1):539. doi: 10.1186/s12909-022-03596-0.

ABSTRACT

BACKGROUND: It is useful to advance simulated patient (SP) participation in teaching to improve the communication skills of medical students, so this study aims to explore the current state of Chinese mainland SP education.

METHODS: A cross sectional survey was designed utilizing well defined quantitative research methods and descriptive statistics. The questionnaire sought information which elucidated the current status of SP-based education, the origin of SP-based learning, SP training, challenges of this learning strategy and future developments. Questionnaires were distributed to 79 medical colleges in mainland China, and 68 were returned. Of these, 64 constituted valid responses (81%).

RESULTS: The number of SP-based education activities in medical colleges offering 5-year、7-year and 8-year clinical medicine programs was significantly higher than that in medical colleges which offered only a single 5-year program (p < 0.01). Communication skills training accounted for 73% of the content of SP-based learning activities, and was expected to rise in the future to 90%, in response to a need to improve doctor-patient relationships. Persons recruited as ‘simulated patients’ included students (21% of the total), residents (49%), medical staff (15%) and teaching staff (14%). Colleges, planning a SP-based education program, preferred teachers (80%) and students (55%) to assume ‘simulated patient’ roles. In objective structured clinical education (OSCE) scenarios, co-scoring by both SPs and teachers featured more highly in the ‘consultation’ station and ‘doctor-patient communication’ station. A number of factors were identified as hindering future development and implementation of SP-based learning including budget restraints, SP selection and training.

CONCLUSIONS: SP-based learning programs offer clear benefits for improving the clinical education of medical students and their communication skills. The main obstacles to achieving more widespread and higher quality SP-based education are insufficient funding and the lack of standardized training and performance evaluation processes for simulated patients. Medical colleges should consider reducing the proportion of students and teachers acting as SPs, and attract more citizens to participate in SP-based learning activities. Formalised training and evaluation of SPs performance are necessary to establish a ‘standard simulated patient’ for a particular medical discipline, thus improving SP-based activities and student learning.

PMID:35831858 | DOI:10.1186/s12909-022-03596-0

BMC Musculoskelet Disord. 2022 Jul 13;23(1):664. doi: 10.1186/s12891-022-05637-7.

ABSTRACT

BACKGROUND: Given the role of vitamin B6 on pronociceptive/antinociceptive neurotransmitters balance, metabolic reactions, and inflammation, it is important to clarify the effect of vitamin B6 on pain and psychological disturbance in fibromyalgia (FM). This study aimed to evaluate whether an 80-mg daily dose of vitamin B6 improves pain, disease severity and psychological symptoms of FM compared to a placebo.

METHODS: This randomized, double-blinded, placebo-controlled trial was performed on the FM patients whose diagnosis was confirmed by a rheumatologist based on the 2016 American College of Rheumatology (ACR). 90 Patients were randomized to receive either vitamin B6 (80 mg daily) or placebo in a 1:1 ratio, with a permuted block size of 30 stratified by disease severity. Primary outcomes included the Revised Fibromyalgia Impact Questionnaire (FIQR), Hospital Anxiety and Depression Scale (HADS), 12-item short-form health survey (SF-12), and pain visual analog scale (pain-VAS)). The mean differences in outcomes (before and after treatment) were compared between the vitamin B6 and placebo groups using an independent T-test. An ANCOVA model adjusted for baseline outcome value was also provided to compare the outcomes between the two groups.

RESULTS: Of 90 eligible patients, 60 patients (31 patients in vitamin B6 and 29 in the placebo group) completed the trial. Overall, the FIQR, pain-VAS, and HADS-anxiety scores improved after treatment in both vitamin B6 and placebo groups; However, there was no statistically significant intergroup difference regarding primary outcomes. ANCOVA model also showed no difference in the treatment effects.

CONCLUSIONS: Our results showed no priority for vitamin B6 over placebo in FM patients. Considering the potential ameliorating role of vitamin B6 on pain and psychological symptoms, acknowledgment of vitamin B6 as a relatively safe adjuvant treatment needs larger future studies.

TRIAL REGISTRATION: Iranian Registry of Clinical Trials: IRCT20200920048782N2 on 2021/10/04.

PMID:35831850 | DOI:10.1186/s12891-022-05637-7

BMC Health Serv Res. 2022 Jul 13;22(1):912. doi: 10.1186/s12913-022-08266-x.

ABSTRACT

BACKGROUND: The phenomenon of medical migration is common in China. Due to the limited capacity and substantial geographical variation in medical practice, patients with chronic kidney disease (CKD) travel more frequently to seek medical care. We aimed to assess the cost-effectiveness of medical migration for CKD patients in China and provide real-world evidence for the allocation of CKD resources.

METHODS: Records of patients with CKD between January 2014 and December 2018 were extracted from a large national database. A patient is defined as a medical migrant if she travelled across the provincial border to a non-residential province to be admitted for inpatient care. The propensity score matching method is used to estimate the effect of medical migration on medical expenditure, length of hospital stay, and in-hospital mortality. The cost-effectiveness is evaluated by comparing the estimated cost per life saved with contemporaneous estimates of the value of a statistical life.

RESULTS: Among 4,392,650 hospitalizations with CKD, medical migrants accounted for 4.9% in 2018. Migrant patients were estimated to incur a 26.35% increase in total medical expenditure, experience a 0.24-percentage-points reduction in in-hospital mortality rates, and a 0.49-days reduction in length of hospital stay compared to non-migrant patients. Overall, medical migration among CKD patients incurred an average of 1 million yuan per life saved, which accounted for 20-40% of contemporaneous estimates of the value of a statistical life. Compared with migrant patients with self-payment and commercial insurance, migrant patients with public health insurance (urban basic medical insurance and new rural co-operative medical care) incurred lower cost per life saved. Cost per life saved for CKD patients was similar between female and male, lower among older population, and varied substantially across regions.

CONCLUSIONS: The medical care seeking behaviors of CKD patients was prominent and medical resources of kidney care were unevenly allocated across regions. Medical migration led to a reduction in mortality, but was associated with higher medical expenditure. It is imperative to reduce the regional disparity of medical resources and improve the clinical capacity. Our study shows that it is imperative to prioritize resource allocation toward improving kidney health and regional health care planning.

PMID:35831849 | DOI:10.1186/s12913-022-08266-x

BMC Health Serv Res. 2022 Jul 12;22(1):905. doi: 10.1186/s12913-022-08276-9.

ABSTRACT

BACKGROUND: Health systems need to be evaluated to ascertain if they are meeting their objectives. There is an increased interest in health system responsiveness (HSR) as a means to appraise health systems. This becomes vital as we put people at the centre of integrated health systems and put a premium on their rights and perspectives. Thus, this study assessed the levels, distribution and factors associated with HSR in Oyo State.

METHODS: The study was a cross-sectional study with 717 adults, who had used an out-patient health facility in the preceding 12 months, interviewed using a semi-structured, interviewer-administered questionnaire. HSR was measured on a multi-domain and multi-item (7 domains and 20 items) 5-point Likert scale that was developed by the WHO to measure HSR globally. Summary scores were computed for level, distribution and the most important domains of HSR. Determinants of poor HSR were determined using binomial logistic regression. The level of statistical significance was set at 5%.

RESULTS: The overall level of HSR was 47%. The highest-rated domains were confidentiality (72%), dignity (64%) and choice (60%), while the least rated were prompt attention (43%) and communication (52%). The overall distribution of HSR was 0.228 (range of 0 to 1) with the domains of prompt attention (0.595) and choice (0.506) being the most unequally distributed. The most important domains were communication, prompt attention and dignity. The least important domains were choice and confidentiality. The factors associated with poor HSR (overall) were no formal education, (OR = 2.81; 95% CI: 1.35-5.86), primary education as the highest level of education (OR = 2.19; 95% CI: 1.28-3.75), poor socioeconomic class (OR = 1.86; 95% CI: 1.23-2.80), using a government-owned facility (OR = 1.56; 95% CI: 1.11-2.19) and not using the usual health facility (OR = 1.69; 95% CI: 1.13-2.53).

CONCLUSIONS: The overall level of HSR in Oyo State was low with the domains of prompt attention, communication and autonomy being the least rated domains. Therefore, concerted efforts should be targeted at improving HSR as this will improve wellbeing, health system utilization, and the overall health system.

PMID:35831823 | DOI:10.1186/s12913-022-08276-9

BMC Public Health. 2022 Jul 13;22(1):1337. doi: 10.1186/s12889-022-13633-8.

ABSTRACT

BACKGROUND: For assessing the HIV epidemic in Kenya, a series of independent HIV indicator household-based surveys of similar design can be used to investigate the trends in key indicators relevant to HIV prevention and control and to describe geographic and sociodemographic disparities, assess the impact of interventions, and develop strategies. We developed methods and tools to facilitate a robust analysis of trends across three national household-based surveys conducted in Kenya in 2007, 2012, and 2018.

METHODS: We used data from the 2007 and 2012 Kenya AIDS Indicator surveys (KAIS 2007 and KAIS 2012) and the 2018 Kenya Population-based HIV Impact Assessment (KENPHIA 2018). To assess the design and other variables of interest from each study, variables were recoded to ensure that they had equivalent meanings across the three surveys. After assessing weighting procedures for comparability, we used the KAIS 2012 nonresponse weighting procedure to revise normalized KENPHIA weights. Analyses were restricted to geographic areas covered by all three surveys. The revised analysis files were then merged into a single file for pooled analysis. We assessed distributions of age, sex, household wealth, and urban/rural status to identify unexpected changes between surveys. To demonstrate how a trend analysis can be carried out, we used continuous, binary, and time-to-event variables as examples. Specifically, temporal trends in age at first sex and having received an HIV test in the last 12 months were used to demonstrate the proposed analytical approach. These were assessed with respondent-specific variables (age, sex, level of education, and marital status) and household variables (place of residence and wealth index). All analyses were conducted in SAS 9.4, but analysis files were created in Stata and R format to support additional analyses.

RESULTS: This study demonstrates trends in selected indicators to illustrate the approach that can be used in similar settings. The incidence of early sexual debut decreased from 11.63 (95% CI: 10.95-12.34) per 1,000 person-years at risk in 2007 to 10.45 (95% CI: 9.75-11.2) per 1,000 person-years at risk in 2012 and to 9.58 (95% CI: 9.08-10.1) per 1,000 person-years at risk in 2018. HIV-testing rates increased from 12.6% (95% CI: 11.6%-13.6%) in 2007 to 56.1% (95% CI: 54.6%-57.6%) in 2012 but decreased slightly to 55.6% [95% CI: 54.6%-56.6%) in 2018. The decrease in incidence of early sexual debut could be convincingly demonstrated between 2007 and 2012 but not between 2012 and 2018. Similarly, there was virtually no difference between HIV Testing rates in 2012 and 2018.

CONCLUSIONS: Our approach can be used to support trend comparisons for variables in HIV surveys in low-income settings. Independent national household surveys can be assessed for comparability, adjusted as appropriate, and used to estimate trends in key indicators. Analyzing trends over time can not only provide insights into Kenya’s progress toward HIV epidemic control but also identify gaps.

PMID:35831818 | DOI:10.1186/s12889-022-13633-8

BMC Pediatr. 2022 Jul 13;22(1):411. doi: 10.1186/s12887-022-03471-3.

ABSTRACT

BACKGROUND: Neonatal sepsis is one of the leading causes of neonatal morbidity and mortality in developing countries like Ethiopia. The investigation of neonatal sepsis needs the application of inclusive diagnostic tools. Therefore, this study aimed to assess the role of CBC parameters in diagnosing neonatal sepsis.

METHODS: A comparative cross-sectional study was conducted from September 2020 to November 2021 at the University of Gondar Comprehensive Specialized Hospital. A total of 250 neonates were included using a convenient sampling technique. A structured questionnaire and a data collection sheet were used to obtain the socio-demographic and clinical characteristics of the study participants. A venous blood sample was collected for CBC and blood culture tests. Epi-Info Version 7 and SPSS Version 25 were used for data entry and analysis, respectively. The data distribution was checked by the Shapiro-Wilk test. Then, an independent t-test was conducted to compare CBC parameters, and the significant parameters were recruited for the ROC curves analysis. The Younden index test was used to determine the cutoff point for the sensitivity and specificity. A p-value of <0.05 was considered statistically significant.

RESULTS: Out of 250 study participants, 144 (57.6%) were males, with a median age of 6 days (IQR = 4 days). Early-onset and late-onset sepsis were developed in about 29.6% (37/250) and 70.4% (88/250) of the neonates, respectively. The TLC and ANC parameters were significantly lower in cases than in control groups. The TLC, Hgb, lymphocyte count, and ANC parameters have a sensitivity of 64.8, 68, 33.6, and 49.6%, respectively. Their specificity in the diagnosis of neonatal sepsis was 64.8, 53.6, 83.2, and 90.4%, respectively.

CONCLUSION: Total leucocyte count, ANC, and platelet count all showed significant associations with neonatal sepsis. Besides, the TLC, ANC, and platelet counts had good sensitivity and specificity in diagnosing neonatal sepsis. Therefore, these parameters can be used as a diagnostic tool for neonatal sepsis in resource-limited areas.

PMID:35831816 | DOI:10.1186/s12887-022-03471-3

BMC Public Health. 2022 Jul 12;22(1):1333. doi: 10.1186/s12889-022-13727-3.

ABSTRACT

BACKGROUND: State-level racial/ethnic and age differences and the temporal trend of thyroid cancer (TC) incidence in the USA remain unknown. Our research purposes include: Characterizing state-level temporal variation in TC incidence; examining the disparities of TC incidence by state-level race/ethnicity and age; performing an ecological correlation between TC incidence and obesity/physical activity.

METHODS: TC incidence data during 2000-2017 were extracted from the United States cancer statistics. Using joinpoint regression to evaluate TC incidence trends. Annual percent change (APC), average APC (AAPC) and incidence rates were calculated. The obesity prevalence and physical activity level at the state-level were extracted from Behavioral Risk Factor Surveillance System, and the association between state-level AAPC of TC and obesity/physical activity was tested by Pearson correlation coefficient.

RESULTS: We found that the TC incidence had shown an overall downward trend in recent years, but 10 states continued increasing. There were significant differences in state-level race/ethnicity (non-Hispanic Whites as a reference) and age group (45-59 age group as a reference) incidence: Incidence Rate Ratio (IRR) was 0.4-1.2 for non-Hispanic Blacks, 0.7-1.6 for non-Hispanic Asian and Pacific Islanders, 0.4-1.2 for non-Hispanic American Indians/Alaskan Natives, and 0.5-1.3 for Hispanics. High IRR in young people were distributed in northern USA, while in older people were distributed in south. The state-level obesity/physical activity level and AAPC had a weak correlation (r = 0.34, P = 0.016) and inverse weak correlation (r = -0.29, P = 0.037), respectively. The AAPC of states with a consistent increasing trend had an extremely strong correlation with obesity prevalence (r = 0.80, p = 0.006), and an inverse strong correlation with physical activity level (r = -0.65, P = 0.04).

CONCLUSIONS: Thyroid cancer incidence in 10 states continued increasing. State-level variation in race/ethnicity and age group incidence were found. Lifestyle and environmental factors may interfere with the incidence trend of TC in the USA.

PMID:35831811 | DOI:10.1186/s12889-022-13727-3

BMC Genomics. 2022 Jul 12;23(1):504. doi: 10.1186/s12864-022-08715-1.

ABSTRACT

BACKGROUND: Using single-cell RNA sequencing (scRNA-seq) data to diagnose disease is an effective technique in medical research. Several statistical methods have been developed for the classification of RNA sequencing (RNA-seq) data, including, for example, Poisson linear discriminant analysis (PLDA), negative binomial linear discriminant analysis (NBLDA), and zero-inflated Poisson logistic discriminant analysis (ZIPLDA). Nevertheless, few existing methods perform well for large sample scRNA-seq data, in particular when the distribution assumption is also violated.

RESULTS: We propose a deep learning classifier (scDLC) for large sample scRNA-seq data, based on the long short-term memory recurrent neural networks (LSTMs). Our new scDLC does not require a prior knowledge on the data distribution, but instead, it takes into account the dependency of the most outstanding feature genes in the LSTMs model. LSTMs is a special recurrent neural network, which can learn long-term dependencies of a sequence.

CONCLUSIONS: Simulation studies show that our new scDLC performs consistently better than the existing methods in a wide range of settings with large sample sizes. Four real scRNA-seq datasets are also analyzed, and they coincide with the simulation results that our new scDLC always performs the best. The code named “scDLC” is publicly available at https://github.com/scDLC-code/code .

PMID:35831808 | DOI:10.1186/s12864-022-08715-1