bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of rural-urban differential in healthcare utilization among the elderly population in India
Authors: Banerjee Shreya 
Published: May 2021

Abstract
Background
Population aging poses a demographic burden on a country such as India with inadequate social security systems and very low public investment in health sector. This challenge of accelerated demographic transition is coupled by the rural-urban disparity in access to healthcare services among the elderly people in India. An important objective of India’s National Health Policy (2017) is to “progressively achieve universal health coverage” which is posited upon mitigating the sub-national disparity that necessitates identifying the drivers of the disparity for targeted policy intervention. This study, therefore, makes an attempt towards the exploration of the prominent contributory factors behind the rural-urban gap in utilisation of healthcare among the older population in India.

Methods
The analysis has been done by using the unit level data of Social Consumption: Health (Schedule number 25.0) of the 75th round of the National sample Survey conducted during July 2017–June 2018. Two binary logistic models have been proposed to capture the crude and the adjusted association between health seeking behaviour and place of residence (rural/ urban). To compute the group differences (between rural and urban) in the rate of healthcare utilization among the elderly population in India and to decompose these differences into the major contributing factors, Fairlie’s decomposition method has been employed.

Results
The logistic regression models established a strong association between place of residence and likelihood of healthcare utilisation among the Indian elderly people. The results of the Fairlie’s decomposition analysis revealed considerable rural-urban inequality disfavouring the rural residents and health care utilisation was found to be 7 percentage points higher among the older population residing in urban India than their rural counterparts. Level of education and economic status, both of which are indicators of a person’s Socio-Economic Status, were the two major determinants of the existing rural-urban differential in healthcare utilisation, together explaining 41% of the existing rural-urban differential.

Conclusion
Public health care provisions need to be strengthened both in terms of quality and outreach by way of greater public investments in the health sector and by building advanced health infrastructure in the rural areas. Implementation of poverty alleviation programmes and ensuring social-security of the elderly are also indispensable in bringing about equity in healthcare utilisation.
Well-being and mental stress in the population study of women in Gothenburg, Sweden: cohort comparisons from 1980 to 2016 of 36-year trends and socioeconomic disparities in 38-and 50-year old women
Authors: Waller M. , Lissner L. , Hange D. , Sundh V. , Blomstrand A. , Björkelund C. 
Published: May 2021

AbstractBackgroundWomen’s lives have dramatically changed in recent decades as evidenced by trends in educational attainment, employment outside the home, income, and other socioeconomic factors. Self-reported health in 18–70 year old women has been reported to be significantly lower than in men. In Sweden, the 2005 National Public Health Report showed that stressful work environments have become more common, especially for women. The purpose of the study was to monitor trends in well-being and perceived mental stress in the populations of 38- and 50-year-old women and to examine associations with socioeconomic position (SEP).SubjectsIn 1980, 2004, and 2017, population-based samples of 38- and 50-year old women were recruited into the Prospective Population Study of Women in Gothenburg (PPSWG), Sweden. This population-based study included participants from selected birth cohorts to participate in health examinations, at similar ages and with similar protocols on each occasion.MethodsBirth cohort comparisons between three representative samples of 38- and 50-year-old women. Well-being (scale 1–7) and perceived mental stress (scale 1–6) based on questionnaires were the main outcomes studied in relation to time. Socioeconomic position (SEP) based on socio-occupational group, i.e. occupational and educational level combined, were examined as correlates of well-being and mental stress at different points in time.ResultsPerception of good well-being increased in generations of 50-year-old women between 1980 to 2016, but no significant time trends were seen in 38-year-old women. Perception of high mental stress increased between 1980 and 2016, for both 38-and 50-year-old women. Belonging to a low socio-occupational group was associated with lower perceived well-being in 1980 but not in 2016. Belonging to a low socio-occupational group was not associated with perceived mental stress at any examination.ConclusionsContemporary women of today have generally higher perceptions of well-being but also higher mental stress regardless of belonging to low or high socio-occupational group. Associations between poor well-being and belonging to a low socio-occupational group that were observed in 1980 and 2004 were not observed in 2016.The Prospective Population Study of Women in Gothenburg, Sweden was approved by the ethics committee of University of Gothenburg (Dnr 65–80; Ö564–03; 258–16). The studies comply with the Declaration of Helsinki and informed consent has been obtained from the subjects.
Effects of precarious work on symptomatology of anxiety and depression in Chilean workers, a cross sectional study
Authors: Lopez Gonzalo , Kriebel David , Cifuentes Manuel , Quinn Margaret 
Published: May 2021

Abstract
Background
Precarious work is a broad definition for non-standard employment, often including unstable and insecure positions where workers permanently experience uncertainty; these types of jobs are growing steadily around the planet. Since the coup d’état in 1973, Chile has experienced a series of structural economic changes framed by neoliberal ideas cemented in the “Constitution of Pinochet.” Precarious work in Chile is a direct consequence of these ideas. This multidimensional phenomenon has progressively been entering employment areas where it was not previously present. As a result, there has been a rise in work precarization and its full impact on health is not well known. The goal of this study was to estimate the association of work precariousness with mental health outcomes in Chilean workers.

Methods
Data were obtained from the Chilean Survey of Work and Health 2009–2010 (ENETS). Only valid records of salaried workers (excluding hourly-only or commission-only workers) in the private sector without missing values were included (n = 1900). After applying appropriate sampling weights, 1,461,727 workers were represented. Mental health was estimated as anxiety/depression levels using the 12-item General Health Questionnaire (GHQ-12). A multilevel multivariate generalized linear mixed model (GLMM) with negative binomial and log link distribution was used to study the association between precariousness and depression/anxiety.

Results
Looking at the overall precariousness scale (range from zero to four), we observed an increase of approximately 34% in the depression/anxiety score (scale range from 0 to 36) for every unit on the precarious work overall scale (Relative Risk = 1.34, 95% CI = 1.28, 1.42) controlling for age, sex, and occupational group.

Conclusion
Precarious work was associated with anxiety and depression as measured with the 12-item General Health Questionnaire. Controlling for demographic variables changed neither the direction nor the magnitude of the association.
Changes to body mass index, work self-efficacy, health-related quality of life, and work participation in people with obesity after vocational rehabilitation: a prospective observational study
Authors: Linge Anita Dyb , Jensen Chris , Laake Petter , Bjørkly Stål Kapstø 
Published: May 2021

Abstract
Background
People on or at risk of sick leave from work due to obesity or obesity-related problems participated in a new vocational rehabilitation (VR). The study aimed to examine the outcome changes in the participants’ health-related quality of life (HRQoL), body mass index (BMI), return to work self-efficacy (RTWSE), work ability scale (WAS) and degree of work participation (DWP) after their participation in the 12-month VR programme. The secondary aim was to examine associations between the outcome changes and HRQoL at 12-month follow-up, measured with the HRQoL 15D instrument (15D).

Methods
This prospective observational study included 95 participants. The one-year multidisciplinary VR programme with an integrated work and lifestyle intervention included 4 weeks of inpatient stay followed-up by 5 meetings. A paired sample t-test was used to examine changes in HRQoL, BMI, RTWSE, WAS, and DWP between baseline and the 12-month follow-up. Multiple linear regression analyses explored associations between changes in HRQoL and the outcome variables.

Results
The participants achieved statistically significant changes in HRQoL (2.57, 95% CI: 1.35 to 3.79), BMI (− 2.33, 95% CI: − 3.10 to − 1.56), RTWSE (15.89, 95% CI: 4.07 to 27.71), WAS (1.51, 95% CI: 0.83 to 2.20) and DWP (18.69, 95% CI: 8.35 to 29.02). At 12 months, a significant association was found between HRQoL and BMI (B = − 0.34, 95% CI: − 0.65 to − 0.04), RTWSE (B = 0.02, 95% CI: 0.004 to 0.04), WAS (B = 0.91, 95% CI: 0.55 to 1.28), DWP (B = − 0.02, 95% CI: − 0.04 to 0.001) and work absence (B = − 0.01, 95% CI: − 0.02 to − 0.002). The regression model explained 71.8% of the HRQoL variance.

Conclusion
The results indicated positive changes in HRQoL, BMI, RTWSE, WAS and DWP from baseline to the 12-month follow-up. Factors associated with HRQoL at the 12-month follow-up were decreased BMI, increased RTWSE, improved WAS and reduced work absence. Future studies examining VR programmes with lifestyle interventions for people with obesity are recommended.

Trial registration
Norwegian Regional Committee for Medical and Health Research Ethics (REC) 2017/573, Clinical Trials NCT03286374, registered 18. September 2017.
https://clinicaltrials.gov/ct2/results?cond=Obesity&term=Anita+Dyb+Linge&cntry=NO&state=&city=&dist=
Evaluation of salivary biomarkers for the diagnosis of periodontitis
Authors: Zhang Yong , Kang Ni , Xue Fei , Qiao Jing , Duan Jinyu , Chen Fan , Cai Yu 
Published: May 2021

AbstractBackgroundSalivary interleukin (IL)-1β, matrix metalloproteinase (MMP)-8, pyridinoline cross-linked carboxyterminal telopeptide of type I collagen (ICTP) andPorphyromonas gingivalis(Pg) are related to periodontitis. This study aimed to investigate the diagnostic potential of these biomarkers and to build a prediction panel for diagnosing periodontal disease.MethodsA total of 80 participants were enrolled in a cross-sectional study and divided into healthy (n = 25), gingivitis (n = 24), and periodontitis (n = 31) groups based on their periodontal exam results. A full mouth periodontal examination was performed and unstimulated saliva was collected. Salivary IL-1β, MMP-8, ICTP, and Pg were assessed using enzyme-linked immunosorbent assay (ELISA) and quantitative real time PCR (qPCR). Their potentials for diagnosing periodontal disease were analyzed and combined prediction panels of periodontal disease were evaluated.ResultsAs a single marker, IL-1β showed the best diagnostic value of the four markers evaluated and exhibited an area under the curve (AUC) value of 0.88 with 90% sensitivity and 76% specificity for discriminating periodontitis subjects from healthy subjects, an AUC value of 0.80 with 83% sensitivity and 76% specificity for discriminating gingivitis subjects from healthy subjects and an AUC value of 0.66 with 68% sensitivity and 64% specificity for differentiating periodontitis subjects from gingivitis subjects. The combination of IL-1β, ICTP, and Pg exhibited the highest efficacy for discriminating periodontitis subjects from healthy subjects (AUC = 0.94) and gingivitis subjects (AUC = 0.77). The combination of IL-1β and MMP-8 exhibited the best ability to discriminate gingivitis from healthy subjects (AUC = 0.84).ConclusionsSalivary IL-1β, MMP-8, ICTP, and Pg showed significant effectiveness for diagnosing periodontal disease. The combination of IL-1β, ICTP, and Pg can be used to discriminate periodontitis subjects from healthy subjects and gingivitis subjects, and the combination of IL-1β and MMP-8 can be used to discriminate gingivitis subjects from healthy subjects.
A preliminary assessment of guideline adherence and clinical variation in oral cancer treatment: a MarketScan database study
Authors: Eskander Antoine , Sahovaler Axel , Shin Jennifer , Deutsch Konrado , Crowson Matthew , Goyal Neerav , Witsell David L. , Schulz Kristine , Gross Neil D. , Weber Randal , Khariwala Samir S. , Cohen Seth , CyrLee Derek Walter , Mehta Vikas 
Published: May 2021

Abstract
Background
To assess variations in adherence to guideline-recommended processes of care for oral cavity cancer patients.

Methods
Retrospective study using a U.S. healthcare research database (MarketScan). Index diagnoses were considered from 2010 to 2012 with follow-up from 2013 to 2014. Diagnostic and procedure codes were utilized to identify oral cavity patients with a defined treatment modality. Compliance with guideline-recommended processes of care, which included pre-treatment imaging, thyroid-function testing (TFTs), multidisciplinary consultation and gastrostomy-tube insertion rates, were assessed.

Results
A total of 2752 patients were identified. Surgery alone was the most common treatment (60.8%), followed by surgery with adjuvant chemoradiotherapy (20.4%) and surgery with adjuvant radiotherapy (18.8%). Head/neck and chest imaging were obtained in 60% and 62.5% of patients respectively. Significant geographical differences in head and neck imaging were observed between North-central (64%), South (58.4%) and West (56.1%) regions (p = 0.026). Differences in chest imaging were also present between North-east (65%) and West (56.8%; p = 0.007). TFTs were obtained in 54.4% of the patients after radiation treatment, and 18.6% of patients had multidisciplinary consultation during the 6 months before and 3 months after initiation of treatment. During the year after treatment initiation, 21.2% of patients underwent G-tube placement, with significantly higher rates in patients receiving triple modality treatment (58%) when compared to surgery plus radiation (27%) and surgery alone (15%; p < 0.01).

Conclusion
Adherence to evidence-based practices was low based on the database coding. These data suggest a potential to improve adherence and increase the routine use of practices delineated in national clinical practice guidelines.

Clinical relevance
This study reflects a suboptimal adherence to guidelines based on the database employed. This study should be considered by healthcare providers and efforts should be maximized to follow the processes of care which have proven to impact on patient's outcomes.
Career-computer simulation increases perceived importance of learning about rare diseases
Authors: Sarrafpour Babak , Hegde Shwetha , Delamare Eduardo , Weeks Ruth , Denham Rebecca A. , Thoeming Alix , Zoellner Hans 
Published: May 2021

Abstract
Background
Rare diseases may be defined as occurring in less than 1 in 2000 patients. Such conditions are, however, so numerous that up to 5.9% of the population is afflicted by a rare disease. The gambling industry attests that few people have native skill evaluating probabilities. We believe that both students and academics, under-estimate the likelihood of encountering rare diseases. This combines with pressure on curriculum time, to reduce both student interest in studying rare diseases, and academic content preparing students for clinical practice. Underestimation of rare diseases, may also contribute to unhelpful blindness to considering such conditions in the clinic.

Methods
We first developed a computer simulation, modelling the number of cases of increasingly rare conditions encountered by a cohort of clinicians. The simulation captured results for each year of practice, and for each clinician throughout the entirety of their careers. Four hundred sixty-two theoretical conditions were considered, with prevalence ranging from 1 per million people through to 64.1% of the population. We then delivered a class with two in-class on-line surveys evaluating student perception of the importance of learning about rare diseases, one before and the other after an in-class real-time computer simulation. Key simulation variables were drawn from the student group, to help students project themselves into the simulation.

Results
The in-class computer simulation revealed that all graduating clinicians from that class would frequently encounter rare conditions. Comparison of results of the in-class survey conducted before and after the computer simulation, revealed a significant increase in the perceived importance of learning about rare diseases (p < 0.005).

Conclusions
The computer career simulation appeared to affect student perception. Because the computer simulation demonstrated clinicians frequently encounter patients with rare diseases, we further suggest this should be considered by academics during curriculum review and design.
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi
Authors: Taneja Sanya B. , Douglas Gerald P. , Cooper Gregory F. , Michaels Marian G. , Druzdzel Marek J. , Visweswaran Shyam 
Published: May 2021

Abstract
Background
Malaria is a major cause of death in children under five years old in low- and middle-income countries such as Malawi. Accurate diagnosis and management of malaria can help reduce the global burden of childhood morbidity and mortality. Trained healthcare workers in rural health centers manage malaria with limited supplies of malarial diagnostic tests and drugs for treatment. A clinical decision support system that integrates predictive models to provide an accurate prediction of malaria based on clinical features could aid healthcare workers in the judicious use of testing and treatment. We developed Bayesian network (BN) models to predict the probability of malaria from clinical features and an illustrative decision tree to model the decision to use or not use a malaria rapid diagnostic test (mRDT).

Methods
We developed two BN models to predict malaria from a dataset of outpatient encounters of children in Malawi. The first BN model was created manually with expert knowledge, and the second model was derived using an automated method. The performance of the BN models was compared to other statistical models on a range of performance metrics at multiple thresholds. We developed a decision tree that integrates predictions with the costs of mRDT and a course of recommended treatment.

Results
The manually created BN model achieved an area under the ROC curve (AUC) equal to 0.60 which was statistically significantly higher than the other models. At the optimal threshold for classification, the manual BN model had sensitivity and specificity of 0.74 and 0.42 respectively, and the automated BN model had sensitivity and specificity of 0.45 and 0.68 respectively. The balanced accuracy values were similar across all the models. Sensitivity analysis of the decision tree showed that for values of probability of malaria below 0.04 and above 0.40, the preferred decision that minimizes expected costs is not to perform mRDT.

Conclusion
In resource-constrained settings, judicious use of mRDT is important. Predictive models in combination with decision analysis can provide personalized guidance on when to use mRDT in the management of childhood malaria. BN models can be efficiently derived from data to support clinical decision making.
Self-admission in the treatment of eating disorders: an analysis of healthcare resource reallocation
Authors: Strand Mattias , Bulik Cynthia M. , Gustafsson Sanna A. , Welch Elisabeth 
Published: May 2021

Abstract
Background
Self-admission to psychiatric inpatient treatment is an innovative approach to healthcare rationing, based on reallocation of existing resources rather than on increased funding. In self-admission, patients with a history of high healthcare utilization are invited to decide for themselves when brief admission is warranted. Previous findings on patients with severe eating disorders indicate that self-admission reduces participants’ need for inpatient treatment, but that it does not alone lead to symptom remission.

Methods
The aim of this study was to evaluate if, from a service provider perspective, the resource reallocation associated with self-admission is justified. The analysis makes use of data from a cohort study evaluating the one-year outcomes of self-admission at the Stockholm Centre for Eating Disorders.

Results
Participants in the program reduced their need for regular specialist inpatient treatment by 67%. Thereby, hospital beds were made available for non-participants due to the removal of a yearly average of 13.2 high-utilizers from the regular waiting list. A sensitivity analysis showed that this “win-win situation” occurred within the entire 95% confidence interval of the inpatient treatment utilization reduction.

Conclusions
For healthcare systems relying on rationing by waiting list, self-admission has the potential to reduce the need for hospitalization for patients with longstanding eating disorders, while also offering benefits in the form of increased available resources for other patients requiring hospitalization.

Trial Registration
ClinicalTrials.gov ID: NCT02937259 (retrospectively registered 10/15/2016).