bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of a quantitative food frequency questionnaire to assess dietary intake among Lebanese adults
Authors: Harmouche-Karaki Mireille , Mahfouz Maya , Obeyd Jawaher , Salameh Pascale , Mahfouz Yara , Helou Khalil 
Published: July 2020

Abstract
Background
The food frequency questionnaire (FFQ) is the most frequently used method to assess dietary intake in epidemiological studies evaluating diet-disease association. The objective of this study was to validate a FFQ for use among Lebanese adults by evaluating various facets of validity and reproducibility.

Methods
The quantitative 164-items FFQ was validated against the average of six 24-h dietary recalls (DRs) in a sample of 238 Lebanese adults. Reproducibility of the FFQ was assessed by administering it twice within 1 month’ time interval.

Results
Positive statistically significant Pearson correlations were observed in most macro and micronutrients between the FFQ and the six 24-h DRs, ranging from 0.16 to 0.65, with two thirds of the correlation coefficients exceeding 0.3. Energy, gender, and age-adjusted statistically significant Pearson correlation coefficients ranged from 0.14 to 0.64, with two thirds of the coefficients exceeding 0.2. Intakes from the FFQ were mostly higher than those of the 24-h DRs. Mean percent difference between nutrient intakes from both dietary methods decreased remarkably after using energy-adjusted mean intakes. Values were acceptable to good for all macronutrients and several micronutrients. Cross-classification analysis revealed that around 64.3 to 83.9% of participants were classified into the same and adjacent quartile whereas grossly misclassified proportions ranged from 3.7 to 12.2%. Weighted kappa values ranged from 0.02 to 0.36 with most of them exceeding 0.2. In indirect validity analysis, key nutrient mean intakes estimated from the six 24-h DRs were significantly positively associated with tertiles of food groups derived from the FFQ. Bland Altman plots showed that the majority of data points fell within the limits of agreement (LOA) for all nutrients. As for reproducibility analysis, ICC values were all statistically significant ranging from 0.645 to 0.959 and Bland Altman plots confirmed these results.

Conclusions
Based on various aspects of validity and reproducibility, and an extensive range of statistical tests, the present FFQ developed for a Lebanese community is an acceptable tool for dietary assessment and is useful for evaluating diet-disease associations in future studies.
Setting health care services tariffs in Iran: half a century quest for a window of opportunity
Authors: Doshmangir Leila , Rashidian Arash , Kouhi Farhad , Gordeev Vladimir Sergeevich 
Published: July 2020

Abstract
Background
The process of medical tariffs setting in Iran remains to be a contentious issue and is heavily criticized by many stakeholders. This paper explores the experience of setting health care services tariffs in the Iranian health care system over the last five decades.

Methods
We analyzed data collected through literature review and reviews of the official documents developed at the various levels of the Iranian health system using inductive and deductive content analysis. Twenty-two face-to-face semi-structured interviews supplemented the analysis. Data were analysed and interpreted using ‘policy triangle’ and ‘garbage can’ models.

Results
Our comprehensive review of changes in the medical tariff setting provides valuable lessons for major stakeholders. Most changes were implemented in a sporadic, inadequate, and a non-evidence-based manner. Disparities in tariffs between public and private sectors continue to exist. Lack of clarity in tariffs setting mechanisms and its process makes negotiations between various stakeholders difficult and can potentially become a source of a corrupt income. Such clarity can be achieved by using fair and technically sound tariffs. Technical aspects of tariff setting should be separated from the political negotiations over the overall payment to the medical professionals. Transparency regarding a conflict of interest and establishing punitive measures against those violating the rules could help improving trust in the doctor-patient relationship.

Conclusion
Use of evidence-informed models and methods in medical tariff setting could help to strike the right balance in the process of health care services provision to address health system objectives. A sensitive application of policy models can offer significant insights into the nature of medical tariff setting and highlight existing constraints and opportunities. This study generates lessons learned in tariffs setting, particularly for low- and middle-income countries.
Quality of care for Black and Latina women living with HIV in the U.S.: a qualitative study
Authors: Rice Whitney S. , Fletcher Faith E. , Akingbade Busola , Kan Mary , Whitfield Samantha , Ross Shericia , Gakumo C. Ann , Ofotokun Igho , Konkle-Parker Deborah J. , Cohen Mardge H. , Wingood Gina M. , Pence Brian W. , Adimora Adaora A. , Taylor Tonya N. , Wilson Tracey E. , Weiser Sheri D. , Kempf Mirjam-Colette , Turan Bulent , Turan Janet M. 
Published: July 2020

Abstract
Background
Ending the HIV epidemic requires that women living with HIV (WLWH) have access to structurally competent HIV-related and other health care. WLWH may not regularly engage in care due to inadequate quality; however, women’s perspectives on the quality of care they receive are understudied.

Methods
We conducted 12 focus groups and three in-depth interviews with Black (90%) and Latina (11%) WLWH enrolled in the Women’s Interagency HIV Study in Atlanta, GA, Birmingham, AL, Brooklyn, NY, Chapel Hill, NC, Chicago, IL, and Jackson, MS from November 2017 to May 2018 (n = 92). We used a semi-structured format to facilitate discussions about satisfaction and dissatisfaction with health care engagement experiences, and suggestions for improvement, which were audio-recorded, transcribed, and coded using thematic analysis.

Results
Themes emerged related to women’s health care satisfaction or dissatisfaction at the provider, clinic, and systems levels and across Institute of Medicine-defined quality of care domains (effectiveness, efficiency, equity, patient-centeredness, safety and timeliness). Women’s degree of care satisfaction was driven by: 1) knowledge-based care resulting in desired outcomes (effectiveness); 2) coordination, continuity and necessity of care (efficiency); 3) perceived disparities in care (equity); 4) care delivery characterized by compassion, nonjudgment, accommodation, and autonomous decision-making (patient-centeredness); 5) attention to avoiding side effects and over-medicalization (safety); and 6) limited wait time (timeliness).

Conclusions
Quality of care represents a key changeable lever affecting engage in care among WLWH. The communities most proximally affected by HIV should be key stakeholders in HIV-related quality assurance. Findings highlight aspects of the health care experience valued by WLWH, and potential participatory, patient-driven avenues for improvement.
Risk assessment of temperature and air pollutants on hospitalizations for mental and behavioral disorders in Curitiba, Brazil
Authors: da Silva Iara , de Almeida Daniela Sanches , Hashimoto Elizabeth Mie , Martins Leila Droprinchinski 
Published: July 2020

AbstractBackgroundExtreme ambient temperatures and air quality have been directly associated with various human diseases from several studies around the world. However, few analyses involving the association of these environmental circumstances with mental and behavioral disorders (MBD) have been carried out, especially in developing countries such as Brazil.MethodsA time series study was carried out to explore the associations between daily air pollutants (SO2, NO2, O3, and PM10) concentrations and meteorological variables (temperature and relative humidity) on hospital admissions for mental and behavioral disorders for Curitiba, Brazil. Daily hospital admissions from 2010 to 2016 were analyzed by a semi-parametric generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM).ResultsSignificant associations between environmental conditions (10 μg/m3increase in air pollutants and temperature °C) and hospitalizations by MBD were found. Air temperature was the environmental variable with the highest relative risk (RR) at 0-day lag for all ages and sexes analyzed, with RR values of 1.0182 (95% CI: 1.0009–1.0357) for men, and 1.0407 (95% CI: 1.0230–1.0587) for women. Ozone exposure was a risk for all women groups, being higher for the young group, with a RR of 1.0319 (95% CI: 1.0165–1.0483). Elderly from both sexes were more susceptible to temperature variability, with a RR of 1.0651 (95% CI: 1.0213–1.1117) for women, and 1.0215 (95% CI: 1.0195–1.0716) for men.ConclusionsThis study suggests that temperatures above and below the thermal comfort threshold, in addition to high concentrations of air pollutants, present significant risks on hospitalizations by MBD; besides, there are physiological and age differences resulting from the effect of this exposure.Graphical abstract
Street masking: a network-based geographic mask for easily protecting geoprivacy
Authors: Swanlund David , Schuurman Nadine , Zandbergen Paul , Brussoni Mariana 
Published: July 2020

Abstract
Background
Geographic masks are techniques used to protect individual privacy in published maps but are highly under-utilized in research. This leads to continual violations of individual privacy, as sensitive health records are put at risk in unmasked maps. New approaches to geographic masking are required that foster accessibility and ease of use, such that they become more widely adopted. This article describes a new geographic masking method, called street masking, that reduces the burden on users of finding supplemental population data by instead automatically retrieving OpenStreetMap data and using the road network as a basis for masking. We compare it to donut geomasking, both with and without population density taken into account, to evaluate its efficacy against geographic masks that require slightly less and slightly more supplemental data. Our analysis is performed on synthetic data in three different Canadian cities.

Results
Street masking performs similarly to population-based donut geomasking with regard to privacy protection, achieving comparable k-anonymity values at similar median displacement distances. As expected, distance-based donut geomasking performs worst at privacy protection. Street masking also performs very well regarding information loss, achieving far better cluster preservation and landcover agreement than population-based donut geomasking. Distance-based donut geomasking performs similarly to street masking, though at the cost of reduced privacy protection.

Conclusion
Street masking competes with, if not out-performs population-based donut geomasking and does so without requiring any supplemental data from users. Moreover, unlike most other geographic masks, it significantly minimizes the risk of false attribution and inherently takes many geographic barriers into account. It is easily accessible for Python users and provides the foundation for interfaces to be built for non-coding users, such that privacy can be better protected in sensitive geospatial research.
Improving geographical accessibility modeling for operational use by local health actors
Authors: Ihantamalala Felana Angella , Herbreteau Vincent , Révillion Christophe , Randriamihaja Mauricianot , Commins Jérémy , Andréambeloson Tanjona , Rafenoarimalala Feno H. , Randrianambinina Andriamihaja , Cordier Laura F. , Bonds Matthew H. , Garchitorena Andres 
Published: July 2020

Abstract
Background
Geographical accessibility to health facilities remains one of the main barriers to access care in rural areas of the developing world. Although methods and tools exist to model geographic accessibility, the lack of basic geographic information prevents their widespread use at the local level for targeted program implementation. The aim of this study was to develop very precise, context-specific estimates of geographic accessibility to care in a rural district of Madagascar to help with the design and implementation of interventions that improve access for remote populations.

Methods
We used a participatory approach to map all the paths, residential areas, buildings and rice fields on OpenStreetMap (OSM). We estimated shortest routes from every household in the District to the nearest primary health care center (PHC) and community health site (CHS) with the Open Source Routing Machine (OSMR) tool. Then, we used remote sensing methods to obtain a high resolution land cover map, a digital elevation model and rainfall data to model travel speed. Travel speed models were calibrated with field data obtained by GPS tracking in a sample of 168 walking routes. Model results were used to predict travel time to seek care at PHCs and CHSs for all the shortest routes estimated earlier. Finally, we integrated geographical accessibility results into an e-health platform developed with R Shiny.

Results
We mapped over 100,000 buildings, 23,000 km of footpaths, and 4925 residential areas throughout Ifanadiana district; these data are freely available on OSM. We found that over three quarters of the population lived more than one hour away from a PHC, and 10–15% lived more than 1 h away from a CHS. Moreover, we identified areas in the North and East of the district where the nearest PHC was further than 5 h away, and vulnerable populations across the district with poor geographical access (> 1 h) to both PHCs and CHSs.

Conclusion
Our study demonstrates how to improve geographical accessibility modeling so that results can be context-specific and operationally actionable by local health actors. The importance of such approaches is paramount for achieving universal health coverage (UHC) in rural areas throughout the world.
Geostatistical COVID-19 infection risk maps for Portugal
Authors: Azevedo Leonardo , Pereira Maria João , Ribeiro Manuel C. , Soares Amílcar 
Published: July 2020

AbstractThe rapid spread of the SARS-CoV-2 epidemic has simultaneous time and space dynamics. This behaviour results from a complex combination of factors, including social ones, which lead to significant differences in the evolution of the spatiotemporal pattern between and within countries. Usually, spatial smoothing techniques are used to map health outcomes, and rarely uncertainty of the spatial predictions are assessed. As an alternative, we propose to apply direct block sequential simulation to model the spatial distribution of the COVID-19 infection risk in mainland Portugal. Given the daily number of infection data provided by the Portuguese Directorate-General for Health, the daily updates of infection rates are calculated by municipality and used as experimental data in the geostatistical simulation. The model considers the uncertainty/error associated with the size of each municipality’s population. The calculation of daily updates of the infection risk maps results from the median model of one ensemble of 100 geostatistical realizations of daily updates of the infection risk. The ensemble of geostatistical realizations is also used to calculate the associated spatial uncertainty of the spatial prediction using the interquartile distance. The risk maps are updated daily and show the regions with greater risks of infection and the critical dynamics related to its development over time.
The impacts of multiple obesity-related interventions on quality of life in children and adolescents: a randomized controlled trial
Authors: Diao Hua , Wang Hong , Yang Lianjian , Li Ting 
Published: July 2020

Abstract
Background and purpose
Obesity has become a serious public health problem and family- and school-based interventions including physical exercise and diet control have been widely applied to attempt to combat this issue. The purpose of our study was to verify the effectiveness of an obesity-related comprehensive intervention model aimed at improving quality of life (QoL) among adolescents.

Methods
A cluster randomized controlled trial (RCT) was conducted involving 948 subjects who were divided into an intervention group (n = 518) and a control group (n = 430). The intervention group received 1 year of obesity-related health education, physical exercise, and diet control. Their baseline body mass index (BMI) was calculated, and their QoL and basic information were assessed both before and after the intervention period using a self-designed Adolescent Quality of Life Scale and a basic information questionnaire.

Results
After the intervention, significant differences in the psychological, social, and pubertal dimensions, and in total QoL (P < 0.05) were observed in the intervention group relative to the control group. Improved psychological QoL in the intervention group was our most robust study finding, with increases in psychological (B = 1.883, SE = 0.646, P = 0.004), pubertal (B = 0.853, SE = 0.296, P = 0.004) and total (B = 3.024, SE = 1.214, P = 0.013) QoL all being higher in this group. This intervention effect was found to be more substantial in boys than in girls.

Conclusions
Family-individual-school-based interventions combining obesity-related health education, physical exercise, and diet control can improve psychological, pubertal, and total QoL in children, with these effects being most pronounced in boys.

Trial registration
retrospectively registered NCT02343588.
The development and cognitive testing of the positive outcomes HIV PROM: a brief novel patient-reported outcome measure for adults living with HIV
Authors: Bristowe K. , Murtagh F. E. M. , Clift P. , James R. , Josh J. , Platt M. , Whetham J. , Nixon E. , Post F. A. , McQuillan K. , Cheallaigh C. Ní , Kall M. , Anderson J. , Sullivan A. K. , Harding R. 
Published: July 2020

AbstractBackgroundPeople living with HIV experience burdensome multidimensional symptoms and concerns requiring person-centred care. Routine use of patient reported outcome measures can improve outcomes. There is no brief patient reported outcome measure (PROM) that currently reflects the breadth of concerns for people living with HIV. This study aimed to develop and cognitively test a brief novel patient reported outcome measure for use within routine adult HIV care– the “Positive Outcomes” HIV PROM.MethodsDevelopment followed the COSMIN taxonomy and guidance for relevance and comprehensiveness, and Rothrock guidance on development of valid patient reported outcome measures. The Positive Outcomes HIV PROM was developed by a steering group (people living with HIV, HIV professionals and health services researchers) using findings from a previously reported qualitative study of priority outcomes for people living with HIV. The prototype measure was cognitively tested with a purposive sample of people living with HIV.ResultsThe Positive Outcomes HIV PROM consists of 23 questions (22 structured, and one open question) informed by the priorities of key stakeholders (n = 28 people living with HIV,n = 21 HIV professionals andn = 8 HIV commissioners) to ensure face and content validity, and refined through cognitive testing (n = 6 people living with HIV). Cognitive testing demonstrated high levels of acceptability and accessibility.ConclusionsThe Positive Outcomes HIV PROM is the first brief patient reported outcome measure reflecting the diverse needs of people living with HIV designed specifically for use in the clinical setting to support patient assessment and care, and drive service quality improvement. It is derived from primary data on the priority outcomes for people living with HIV and is comprehensive and acceptable. Further psychometric testing is required to ensure reliability and responsiveness.
The anti-clot treatment scale (ACTS): validation of the translated Arabic version among patients undergoing warfarin therapy in Saudi Arabia
Authors: Shilbayeh Sireen Abdul Rahim , Ibrahim Alnada Abdalla 
Published: July 2020

Abstract
Background
Long-term anticoagulation therapy, particularly with warfarin, is usually associated with poor adherence and low patient satisfaction. However, previous studies have highlighted the possibility that individual perceptions of warfarin differ according to cultural practices. This study validated the psychometric properties of the translated Arabic version of the Anti-Clot Treatment Scale (ACTS) for patients on warfarin therapy in Saudi Arabia.

Methods
A cross-sectional multicenter study was conducted at the three main medical centers in Riyadh. Stratified sampling was employed to recruit Arabic-speaking patients who had been taking warfarin for a minimum of 3 months for any indication. The patients completed the specific ACTS along with the generic Treatment Satisfaction Questionnaire for Medication (TSQM 1.4) at two clinic visits. The psychometric performance of the ACTS was evaluated using well-established criteria: feasibility, reliability, and validity.

Results
One hundred thirty-six patients participated in the study (mean age: 50.68 ± 14.6 years; range: 19–97). Overall, the patients reported moderate Burdens and Benefits scores (44 ± 9.9 and 11.92 ± 2.4, respectively) compared to the reference range for each subscale (12–60 and 3–15, respectively); however, they reported lower Burdens scores than other populations. Consistent with the original ACTS validation study, the criteria for acceptability (data targeting, floor/ceiling effects, and skewness) were satisfied; in fact, the Arabic version exhibited better item- and scale-level distributions of data than versions in other languages. The ACTS subscales also demonstrated satisfactory test-retest reliability with significant intraclass correlation coefficients ((ICC ≥ 0.5); p < 0.001) and good internal consistency (all Cronbach’s alpha values exceeded 0.7). Exploratory factor analysis supported the 2-factor loading model. Interestingly, the Arabic version exhibited greater convergent validity with the TSQM subdomains (r = 0.61).

Conclusions
This study provides convincing evidence that the Arabic versions of both the ACTS Burdens and ACTS Benefits scales are equivalent to other versions in terms of psychometric performance, as measured using reliability and validity criteria. These properties support the great potential of the Arabic ACTS to accurately reflect patient satisfaction, identify aspects of treatment that need improvement in clinical practice, and compare treatment satisfaction across different anticoagulant therapies or cultures in research.