Public health programmes to promote mental health in young people: a systematic integrative review protocol by Mihiri Chami Wettasinghe, Nuwan Darshana Wickramasinghe, Tine Van Bortel, Antony Morgan, Antonis A Kousoulis, Nelum Samarutilake, Julie Feiler

“…Two reviewers will independently screen, assess data quality and extract data for synthesis. Disagreements at any stage will be resolved by consensus with the involvement of a third reviewer. …”
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Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis by Robert A Verheij, Niek Klazinga, Erica Barbazza, Lotte Ramerman, Dionne Kringos

“…Five main themes were identified as areas for optimising data use: (1) measuring what matters, (2) increasing data linkages, (3) improving data quality, (4) facilitating data sharing and (5) optimising fit for use analysis.Conclusions To make primary care prescribing data useful for improving quality, consolidated patient-specific data on the indication for a prescription and dispensed medicine, over time, is needed. …”
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Graph Deep Active Learning Framework for Data Deduplication by Huan Cao, Shengdong Du, Jie Hu, Yan Yang, Shi-Jinn Horng, Tianrui Li

“…In order to reduce redundant data storage and improve data quality, data deduplication technology has never become more significant than nowadays. …”
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Application of Artificial Intelligence in Radiological Image Analysis for Pulmonary Disease Diagnosis: A Review of Current Methods and Challenges by Karolina Zalewa, Joanna Olszak, Wojciech Kapłan, Dominika Orłowska, Lidia Bartoszek, Marta Kaus, Natalia Klepacz

“…Overcoming challenges in data quality, system integration, and training is essential for broader clinical adoption. …”
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Climate Impact on Evapotranspiration in the Yellow River Basin: Interpretable Forecasting with Advanced Time Series Models and Explainable AI by Sheheryar Khan, Huiliang Wang, Umer Nauman, Rabia Dars, Muhammad Waseem Boota, Zening Wu

“…Advanced data preprocessing techniques, including Yeo-Johnson and Box-Cox transformations, Savitzky–Golay smoothing, and outlier elimination, were applied to improve data quality. Datasets from MODIS, TRMM, GLDAS, and ERA5 were utilized to enhance model accuracy. …”
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Cacti in distress: how to enhance ex situ conservation strategies through living collections by Thaís Moreira Hidalgo de Almeida, Diego Rafael Gonzaga, Ariane Luna Peixoto

“…Living plant collections play a crucial role in ex situ conservation, but their conservation value hinges on assessment of their composition, data quality and on strategic planning for optimization of the collection that takes into account species diversity, conservation status and allocation of resources. …”
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Exploring the potential of introducing an electronic death registration system in South Africa by Carmen Sant Fruchtman, Natasha Kallis, Sudarshan Govender, Debbie Bradshaw, Daniel Cobos, Diane Morof, Pamela Groenewald

“…Results During the qualitative interviews, the underlying factors mentioned as contributing to inadequate mortality data quality included insufficient MCCD training, diseases subjected to stigma, limited access to and quality of patient health information, and a significant proportion of deaths occurring outside medical facilities. …”
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Epidemiological and sociodemographic description of snakebite envenoming cases in Paraguay reported between 2015 and 2021 by Guillermo Sequera, Sofia Ardiles-Ruesjas, Edgar Sanabria, Victor Hugo Segovia Portillo, Lorena Jara Oroa, Viviana de Egea, Julio Alonso-Padilla, Irene Losada, María Jesús Pinazo

“…Departments with a higher number of notifications were San Pedro (12%, n=191), Caazapá and Alto Paraná (10%, n=163). Regarding data quality, variables about clinical outcomes, treatment administration and case management were the worst reported.Conclusion SBE is a public health issue that affects young workers in rural areas in Paraguay. …”
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No impairment of quality of life after radiotherapy for prostate cancer by Maria M. Meier, Oliver Koelbl, Isabella Gruber

“…Regardless of the type of radiotherapy applied, cancer patients had no statistically or clinically relevant higher symptom burden compared to normative data. Quality of life was not clinically relevant influenced by radiotherapy, regardless of whether patients received salvage or definitive radiotherapy. …”
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Dog Bites and Rabies in the Eastern Region of Ghana in 2013–2015: A Call for a One-Health Approach by Boakye-Yiadom Adomako, Frank Baiden, Samuel Sackey, Donne Kofi Ameme, Fred Wurapa, Kofi Mensah Nyarko, Ernest Kenu, Edwin Afari

“…We followed up with interviews with three key informants from the health and veterinary services on issues related to surveillance and data quality. Results. Overall, 4821 dog bites were reported over the three-year period. …”
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Use and impact of social prescribing: a mixed-methods feasibility study protocol by Uy Hoang, Harshana Liyanage, Simon de Lusignan, Victoria Tzortziou Brown, Filipa Ferreira, Ivelina Yonova, Lucy Moore, Anant Jani

“…The objective for the qualitative component of the study isto explore approaches to understand the contextual factors that will have influenced our quantitative findings to identify mechanisms to encourage adoption of social prescribing in primary care while improving data quality. Itwill comprise up to three 90–120 minute advisory group meetings for six to eight participants. …”
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Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data by Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…The proposed framework demonstrated superior performance compared to existing methodologies in the literature, addressing key gaps such as overfitting, data quality, and model explainability. Real-world deployment challenges, including diverse operating conditions and generalizability across machines, were also discussed, with recommendations for incorporating multi-sensor data and transfer learning approaches in future research. …”
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Seroprevalence of TORCH Viral Agents in Pregnant Women in Turkey: Systematic Review and Meta-Analysis by Elmas Pinar Kahraman Kilbas, Ihsan Hakki Ciftci, Imdat Kilbas, Hande Toptan

“…A total of 60 studies meeting the inclusion criteria were included. Data quality control was assessed using the Joanna Briggs Institute guideline prevalence studies checklist. …”
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A comparative approach of analyzing data uncertainty in parameter estimation for a Lumpy Skin Disease model by Edwiga Renald, Miracle Amadi, Heikki Haario, Joram Buza, Jean M. Tchuenche, Verdiana G. Masanja

“…This study has introduced a novel yet simple technique for analyzing data uncertainties in compartmental models which is then used to examine the reliability of a deterministic model of the transmission dynamics of LSD in cattle which involves investigating scenarios related to data quality for which the model parameters can be well identified. …”
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An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets by Adam S. L. Graefe, Miriam R. Hübner, Filip Rehburg, Steffen Sander, Sophie A. I. Klopfenstein, Samer Alkarkoukly, Ana Grönke, Annic Weyersberg, Daniel Danis, Jana Zschüntzsch, Elisabeth F. Nyoungui, Susanna Wiegand, Peter Kühnen, Peter N. Robinson, Oya Beyan, Sylvia Thun

“…Abstract Although rare diseases (RDs) affect over 260 million individuals worldwide, low data quality and scarcity challenge effective care and research. …”
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Internal validation of self-reported case numbers in hospital quality reports: preparing secondary data for health services research by Limei Ji, Max Geraedts, Werner de Cruppé

“…The basic plausibility control implemented by the Federal Joint Committee since 2018 has improved the MCR-related data quality over time. Conclusions This study employed a comprehensive approach to dataset internal validation that encompassed: (1) hospital association level data, (2) hospital site level data and (3) medical department level data, (4) report data spanning six years, and (5) logical plausibility checks. …”
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Using routine data to examine factors associated with stillbirth in three tertiary maternity facilities in Kabul, Afghanistan by Zainab Ezadi, Sayed Murtaza Sadat Hofiani, Aliki Christou

“…Strengthening routine data quality for stillbirths is imperative for improved understanding and prevention of stillbirths.…”
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WPD-Based Noise Reduction for Microseismic Data Through Adaptive Coefficient Shrinkage and Multi-Basis Fusion by Yaqi Zhang, Zhiqiang Lan, Zheng Shi, Yuhang Xue, Jie Wang, Kun Zhu, Jian He, Xiujian Chou

“…In microseismic monitoring, sensors distributed at different spatial positions face varying noise conditions, leading to data quality deterioration. Due to the precise time-frequency analysis capabilities, flexibility, and low computational complexity, Wavelet Packet Decomposition (WPD) has become one of the most widely used noise reduction approaches in microseismic data enhancement. …”
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A Novel Method for Screening the PMU Phase Angle Difference Data Based on Hyperplane Clustering by Ancheng Xue, Shuang Leng, Yecheng Li, Feiyang Xu, Kenneth E. Martin, Jingsong Xu

“…In this paper, a novel method to cluster the phase angle difference data, assess the data quality and screen out the bad PMU phase angle difference data is proposed. …”
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Does electronic data collection perform better than paper-based data collection in health research fieldwork? A participatory action research in Zanzibar by Ving Fai Chan, Fatma Omar, Eden Mashayo, Ai Chee Yong, Christine Graham, Ronnie Graham, Omar Juma Othman, Jamison Jones, Kajal Shah

“…Introduction Technological advancement in low-resource settings is opening the gateway to implementation of electronic data collection methods that improve data quality. We examined the concerns to use electronic data collection tool in Zanzibar, codeveloped a tool that addressed the concerns and evaluated the process and limitations of incorporating an electronic data collection tool aside from paper-based during a community-based study in Zanzibar.Methods The science of improvement Plan-Do-Study-Act model guided this mixed-method participatory action research (PAR). …”
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