bluuebunny/crossref_metadata_2025_split huggingface dataset:
User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study
Authors: Adu Mary D , Malabu Usman H , Malau-Aduli Aduli EO , Drovandi Aaron , Malau-Aduli Bunmi S 
Published: March 2020

Background
Mobile health apps are commonly used to support diabetes self-management (DSM). However, there is limited research assessing whether such apps are able to meet the basic requirements of retaining and engaging users.

Objective
This study aimed to evaluate participants’ retention and engagement with My Care Hub, a mobile app for DSM.

Methods
The study employed an explanatory mixed methods design. Participants were people with type 1 or type 2 diabetes who used the health app intervention for 3 weeks. Retention was measured by completion of the postintervention survey. Engagement was measured using system log indices and interviews. Retention and system log indices were presented using descriptive statistics. Transcripts were analyzed using content analysis to develop themes interpreted according to the behavioral intervention technology theory.

Results
Of the 50 individuals enrolled, 42 (84%) adhered to the study protocol. System usage data showed multiple and frequent interactions with the app by most of the enrolled participants (42/50, 84%). Two-thirds of participants who inputted data during the first week returned to use the app after week 1 (36/42, 85%) and week 2 (30/42, 71%) of installation. Most daily used features were tracking of blood glucose (BG; 28/42, 68%) and accessing educational information (6/42, 13%). The interview results revealed the app’s potential as a behavior change intervention tool, particularly because it eased participants’ self-care efforts and improved their engagement with DSM activities such as BG monitoring, physical exercise, and healthy eating. Participants suggested additional functionalities such as extended access to historical analytic data, automated data transmission from the BG meter, and periodic update of meals and corresponding nutrients to further enhance engagement with the app.

Conclusions
The findings of this short-term intervention study suggested acceptable levels of participant retention and engagement with My Care Hub, indicating that it may be a promising tool for extending DSM support and education beyond the confines of a physical clinic.
Development of a Short Instrument for Measuring Health-Related Quality of Life in Oncological Patients for Clinical Use: Protocol for an Observational Study
Authors: Schrage Theresa , Görlach Mirja , Betz Christian Stephan , Bokemeyer Carsten , Kröger Nicolaus , Mueller Volkmar , Petersen Cordula , Krüll Andreas , Schulz Holger , Bleich Christiane 
Published: March 2020

BackgroundCancer patients often suffer from the physical and psychological burden of their disease and its treatment. This is frequently insufficiently identified and addressed in clinical practice. In the context of improving patient-centered care in oncological patients, patient-reported outcomes (PROs) represent an important addition to current routine care. So far, available PRO questionnaires for cancer patients are unsuitable for routine procedures due to their length and complexity.ObjectiveThis study aimed to develop and psychometrically test a short questionnaire to measure health-related quality of life (HrQoL) in cancer patients for use in routine care.MethodsThis observational study consists of two parts: (1) a qualitative study to develop a short questionnaire measuring HrQoL and (2) a quantitative study to psychometrically test this questionnaire in five oncological departments of a comprehensive cancer center. In part 1 of the study, semistructured interviews with 28 cancer patients, as well as five focus groups with 22 clinicians and nurses, were conducted to identify clinically relevant dimensions of HrQoL. The identified dimensions were complemented with related dimensions from empirical studies and reviewed via expert discussion. Based on this, a short instrument was developed. In part 2 of the study, the developed questionnaire was tested in cancer in- and outpatients at five participating oncological clinics using additional standardized questionnaires assessing HrQoL and other important PROs. The questionnaire was presented to more than 770 patients twice during treatment.ResultsThe project started in May 2017 with recruitment for study phase I beginning in December 2017. Recruitment for study phases I and II ended in April 2018 and February 2019, respectively. After study phase II and psychometrical analyses, the newly developed questionnaire measuring the HrQoL of all cancer entities in routine care was finalized.ConclusionsWith five to six dimensions and one item per dimension, the developed questionnaire is short enough to not disrupt routine procedures during treatment and is profound enough to inform clinicians about the patient’s HrQoL impairments and status.Trial RegistrationOpen Science Framework Registries 10.17605/OSF.IO/Y7XCE; https://osf.io/y7xce/International Registered Report Identifier (IRRID)RR1-10.2196/17854
Comprehensive Telestroke Network to Optimize Health Care Delivery for Cerebrovascular Diseases: Algorithm Development
Authors: Bayona Hernán , Ropero Brenda , Salazar Antonio José , Pérez Juan Camilo , Granja Manuel Felipe , Martínez Carlos Fernando , Useche Juan Nicolás 
Published: March 2020

Background
Health care delivery for cerebrovascular diseases is a complex process, which may be improved using telestroke networks.

Objective
The purpose of this work was to establish and implement a protocol for the management of patients with acute stroke symptoms according to the available treatment alternatives at the initial point of care and the transfer possibilities.

Methods
The review board of our institutions approved this work. The protocol was based on the latest guidelines of the American Heart Association and American Stroke Association. Stroke care requires human and technological resources, which may differ according to the patient’s point of entry into the health care system. Three health care settings were identified to define the appropriate protocols: primary health care setting, intermediate health care setting, and advanced health care setting.

Results
A user-friendly web-based telestroke solution was developed. The predictors, scales, and scores implemented in this system allowed the assessment of the vascular insult severity and neurological status of the patient. The total number of possible pathways implemented was as follows: 10 in the primary health care setting, 39 in the intermediate health care setting, and 1162 in the advanced health care setting.

Conclusions
The developed comprehensive telestroke platform is the first stage in optimizing health care delivery for patients with stroke symptoms, regardless of the entry point into the emergency network, in both urban and rural regions. This system supports health care personnel by providing adequate inpatient stroke care and facilitating the prompt transfer of patients to a more appropriate health care setting if necessary, especially for patients with acute ischemic stroke within the therapeutic window who are candidates for reperfusion therapies, ultimately contributing to mitigating the mortality and morbidity associated with stroke.
Digital Care for Chronic Musculoskeletal Pain: 10,000 Participant Longitudinal Cohort Study
Authors: Bailey Jeannie F , Agarwal Vibhu , Zheng Patricia , Smuck Matthew , Fredericson Michael , Kennedy David J , Krauss Jeffrey 
Published: March 2020

Background
Chronic musculoskeletal pain has a vast global prevalence and economic burden. Conservative therapies are universally recommended but require patient engagement and self-management to be effective.

Objective
This study aimed to evaluate the efficacy of a 12-week digital care program (DCP) in a large population of patients with chronic knee and back pain.

Methods
A longitudinal observational study was conducted using a remote DCP available through a mobile app. Subjects participated in a 12-week multimodal DCP incorporating education, sensor-guided exercise therapy (ET), and behavioral health support with 1-on-1 remote health coaching. The primary outcome was pain measured by the visual analog scale (VAS). Secondary measures included engagement levels, program completion, program satisfaction, condition-specific pain measures, depression, anxiety, and work productivity.

Results
A total of 10,264 adults with either knee (n=3796) or low back (n=6468) pain for at least three months were included in the study. Participants experienced a 68.45% average improvement in VAS pain between baseline intake and 12 weeks. In all, 73.04% (7497/10,264) participants completed the DCP into the final month. In total, 78.60% (5893/7497) of program completers (7144/10,264, 69.60% of all participants) achieved minimally important change in pain. Furthermore, the number of ET sessions and coaching interactions were both positively associated with improvement in pain, suggesting that the amount of engagement influenced outcomes. Secondary outcomes included a 57.9% and 58.3% decrease in depression and anxiety scores, respectively, and 61.5% improvement in work productivity. Finally, 3 distinct clusters of pain response trajectories were identified, which could be predicted with a mean 76% accuracy using baseline measures.

Conclusions
These results support the efficacy and scalability of a DCP for chronic low back and knee pain in a large, diverse, real-world population. Participants demonstrated high completion and engagement rates and a significant positive relationship between engagement and pain reduction was identified, a finding that has not been previously demonstrated in a DCP. Furthermore, the large sample size allowed for the identification of distinct pain response subgroups, which may prove beneficial in predicting recovery and tailoring future interventions. This is the first longitudinal digital health study to analyze pain outcomes in a sample of this magnitude, and it supports the prospect for DCPs to serve the overwhelming number of musculoskeletal pain sufferers worldwide.
Road to Hierarchical Diabetes Management at Primary Care (ROADMAP) Study in China: Protocol for the Statistical Analysis of a Cluster Randomized Controlled Trial
Authors: Li Xian , Duolikun Nadila , Cheng Fengzhuo , Billot Laurent , Jia Weiping , Zhang Puhong 
Published: March 2020

Background
As the management of type 2 diabetes remains suboptimal in primary care, the Road to Hierarchical Diabetes Management at Primary Care (ROADMAP) study was designed and conducted in diverse primary care settings to test the effectiveness of a three-tiered diabetes management model of care in China.

Objective
This paper aims to predetermine the detailed analytical methods for the ROADMAP study before the database lock to reduce potential bias and facilitate transparent analyses.

Methods
The ROADMAP study adopts a community-based, cluster randomized controlled trial design that compares the effectiveness of a tiered diabetes management model on diabetes control with usual care among patients with diabetes over a 1-year study period. The primary outcome is the control rate of glycated hemoglobin (HbA1c) <7% at 1 year. Secondary outcomes include the control rates of ABC (HbA1c, blood pressure, and low-density lipoprotein cholesterol [LDL-C], individual and combined) and fasting blood glucose, and the change in each outcome. The primary analysis will be the log-binomial regression with generalized estimating equation (GEE), which accounts for the clustering within communities, for binary outcomes and linear regression with GEE for continuous outcomes. For both, the baseline value of the analyzed outcome will be the covariate. The other covariate further adjusted models and the repetitive models after multiple imputation (when more than 10% of observations in HbA1c after 1 year are missing) will be used for sensitivity analysis. Five prespecified subgroup analyses have also been planned to explore the heterogeneity of the intervention effects by adding the subgroup variable and its interaction with the intervention to the primary model.

Results
This plan has been finalized, approved, and signed off by the principle investigator, co-principle investigator, and lead statisticians as of November 22, 2019, and made public on the institutional website without any knowledge of intervention allocation. Templates for the main figure and tables are presented.

Conclusions
This statistical analysis protocol was developed for the main results of the ROADMAP study by authors blinded to group allocation and with no access to study data, which will guarantee the transparency and reduce potential bias during statistical analysis.

Trial Registration
Chinese Clinical Trial Registry ChiCTR-IOC-17011325; https://tinyurl.com/ybpr9xrq

International Registered Report Identifier (IRRID)
DERR1-10.2196/18333
Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation
Authors: Ray Arnab , Gupta Aman , Al Amutha 
Published: March 2020

Background
Skin cancer is the most common cancer and is often ignored by people at an early stage. There are 5.4 million new cases of skin cancer worldwide every year. Deaths due to skin cancer could be prevented by early detection of the mole.

Objective
We propose a skin lesion classification system that has the ability to detect such moles at an early stage and is able to easily differentiate between a cancerous and noncancerous mole. Using this system, we would be able to save time and resources for both patients and practitioners.

Methods
We created a deep convolutional neural network using an Inceptionv3 and DenseNet-201 pretrained model.

Results
We found that using the concepts of fine-tuning and the ensemble learning model yielded superior results. Furthermore, fine-tuning the whole model helped models converge faster compared to fine-tuning only the top layers, giving better accuracy overall.

Conclusions
Based on our research, we conclude that deep learning algorithms are highly suitable for classifying skin cancer images.
Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development
Authors: Liu Yue 
Published: March 2020

Background
The incidence of diabetes is increasing in China, and its impact on national health cannot be ignored. Smart medicine is a medical model that uses technology to assist the diagnosis and treatment of disease.

Objective
The aim of this paper was to apply artificial intelligence (AI) in the diagnosis of diabetes.

Methods
We established an AI diagnostic model in the MATLAB software platform based on a backpropagation neural network by collecting data for the cases of integration and extraction and selecting an input feature vector. Based on this diagnostic model, using an intelligent combination of the LabVIEW development platform and the MATLAB software-designed diabetes diagnosis system with user data, we called the neural network diagnostic module to correctly diagnose diabetes.

Results
Compared to conventional diagnostic procedures, the system can effectively improve diagnostic efficiency and save time for physicians.

Conclusions
The development of AI applications has utility to aid diabetes diagnosis.
Increasing the production capacity of copper drawing machine in the cable industry using SMED method: A case study in Indonesia
Authors: Setyawan Lilik 
Published: March 2020

Indonesian Government has electricity program of 35,000 Megawatt. To make this program successful, all cable companies begin to implement strategies to satisfy these needs. Increasing the production capacity is the main program implemented by cable companies in Indonesia. One of the cables companies has production output on copper drawing machine of 11 unit of bobbins per shift with the production process cycle time of 32.32 minutes per bobbin. To improve production capacity, improvements need to be performed to reduce the cycle time of the production process. This research was conducted by applying fishbone and Pareto analysis resulting in three main research problems. SMED methodology was implemented in this research by separating two activities, namely internal setup and external setup, then turning the internal setup to external setup in order to reduce the overall processing duration. From the three main research problems, it results in processing duration reduction from 32.32 minutes to 23.18 minutes or a reduction of 28.28 percent. This reduction can improve the production capacity from 11 unit of bobbins to 16 unit of bobbins per shift or 360 unit of bobbins monthly or increasing the production capacity of 45.45 percent. This SMED program is very suitable for similar companies in cabling field and having old machines so that they do not need to invest by purchasing a new machine.
Perbaikan fasilitas kerja dengan pendekatan ergonomi di UD. Kelapa Kering Bagian Pengamplasan
Authors: Sartono Sartono 
Published: March 2020

UD. Kelapa Kering merupakan salah satu IKM perusahaan home industry yang berada di wilayah sentra industri Klaten, produk yang dibuat merupakan pesanan dari pihak konsumen, seperti kerajinan-kerajinan tangan yang terbuat dari bahan dasar kelapa. Pada UD. Kelapa Kering ini masih banyak dijumpai berbagai kondisi yang tidak ergonomis. Hal ini dapat dilihat dari pada bagian pengamplasan kayu penggunaan fasilitas kerja yang salah berupa meja yang diduduki langsung oleh operator tanpa kursi, setiap proses kerja memiliki faktor risiko yakni Postural stress, Repetitive exertions, Sustained (static) exertion Localized mechanical (contact) streses, dan Vibration.Sehingga perlu dilakukan perbaikan secepatnya untuk meminimalkan paparan ergonomic terhadap karyawan (pekerja). pengukuran resiko kerja dengan RULA sebelum perancang ini didapatkan score 6 untuk postur tubuh tersebut, maka postur tubuh bagian pengamplasan berada pada level 3, yaitu sangat beresiko, dan setelah melakukan pengukuran ulang tingkat resiko cidera pada bagian pengamplasan dengan menggunkan usulan perbaikan fasilitas baru maka diperoleh skor 3 yang artinya tinggkat resiko cidera rendah. sebelum bekerja dan sebelum dilakukan perancangan adalah sebesar 2.38 Kkal dan setelah bekerja sebesar 4.48 Kkal. Artinya bahwa energi yang dikeluarkan pada saat sebelum bekerja adalah sebesar 2.38 Kkal dan energi yang dikeluarkan setelah bekerja adalah sebesar 4.48 Kkal. Dengan perancangan alat meja kerja dan kursi kerja yang baru ternyata sangat berpengaruh terhadapkerja operator, dimana terjadi peningkatan padaKonsumsi energi dan oksigen pada pekerja pengamplasan semula 4,48 kkal/menit menjadi 3,54 kkal/menit.
Pelatihan Cara Berpikir Simbolik-Matematik di SMA BOPKRI 2 Yogyakarta
Authors: Santosa Raden Gunawan , Tampubolon Junius Karel 
Published: March 2020

Symbolic-Mathematical Thinking is a technique of thinking to solve mathematical problems. This technique is the result of a combination of Symbolic Logic and Mathematics. In general there are three symbolic logic activities that are applied to Mathematics, namely reading symbols, logical equivalents and logical implications. This Pengabdian kepada Masyarakat (PkM) has activities to train Symbolic-Mathematical thinking using 15 strategies for BOPKRI 2 high school students. The results of this training are three important things. The first result is the type of problem that is most difficult for students to face is the type of problem that requires drawing conclusions that refer to standard mathematical definitions. The second thing is for the type of use of model settlement strategies in a system and the type of seeing patterns, students tend to be able to solve problems after being given instructions on how the model fits the problem and the pattern the problem has. Whereas the third is from two groups of students the class turns out that the continuous class attending the training gets more symbolic-mathematical thinking skills improvement than the other classes.
KELOMPOK PENDAMPING MAKANAN PENDAMPING ASI (KP-MPASI) DI RUMAH SEHAT ANTI STUNTING (RS-AS)
Authors: Puspita Sari Dyah Wiji 
Published: March 2020

Stunting telah menjadi permasalahan gizi serius yang perlu segera ditangani. status gizi balita jawa tengah tahun 2017 pada kategori balita gizi kurang sebanyak 17%, balita pendek sebanyak 28,5%, dan balita kurus sebanyak 9,3%. Metode yang digunakan untuk menjalankan kegiatan ini yaitu metode empowerment. Metode ini dilakukan dalam 4 (empat) tahapan, yaitu (1) sosialisasi, (2) peningkatan kompetensi, (3) pelaksanaan kegiatan, serta (4 ) monitoring dan evaluasi. Hasil dari pelaksanaan kegiatan ini yaitu KP-MPASI memberikan peran yang besar pada pemantauan status gizi ibu hamil dan baduta dalam mencegah resiko stunting. Kesimpulan dalam kegiatan ini yaitu KP-MPASI menjadi strategi yang tepat untuk memberdayakan masyarakat dalam rangka meningkatkan kesiapan anggota keluarga untuk mencegah resiko stunting dan menjadikan KP MPASI ini sebagai salah satu program kesehatan unggulan pencegahan stunting.
Product Quality of Quercetin Extract From Carica Papaya L Flower by Microwave-Assisted Extraction (MAE)
Authors: Mukhaimin Iman , Saraswati Enggar Ayu , Ajizah Rahma , Triyastuti Meilya Suzan 
Published: March 2020

These work aims are to determine the best condition extraction and product quality of quercetin from Carica papaya L flowers extract. The extraction of quercetin from Carica papaya L flowers had done by microwave-assisted extraction (MAE) method. Dried flowers prepared by cutting into 0,125 mm of particle size. Dried flowers were extracted using methanol 80% (w/w) to determine influence of solid to liquid, S/L, ratio (1:10, 1:15, 1:20), microwave power (120, 200, 280, 400 W), and extraction time (1-5 minutes) on extraction process. Using the phytochemical test by Mg-HCl-amyl alcohol and UV-Vis spectrophotometer techniques, the quercetin detected by qualitative and quantitative analysis. As a result, the presence of flavonoids detected by the formation of a brownish red-colored flavylium compound. Increasing extraction time, power, and S/L ratio increased the extraction temperature. Consequently, yield quercetin decreased when the temperature extraction exceeds its temperature degradation. The highest quercetin yield, 0.214%, was detected with solid to liquid ratio (1:15), microwave power (400 Watt), and extraction time (4 minutes). FTIR spectrophotometer technique on the highest yield quercetin proved that have product quality with 91,17% similarity on group function like –OH, C=O, C=C, and C-H with quercetin standard spectrum.
Profil Lipid Darah Ayam Ras Petelur yang di beri Kitosan Iradiasi
Authors: Siregar Rajali Hotlan 
Published: March 2020

Research on cholesterol and triglyceride levels in blood of laying hens adminestered chitosan irradiated was carried out in August to September at the laying chicken farm in Sukarapih Village, Sukasari District, Sumedang Regency, West Java. Blood sample was analyzed at the Laboratory of Animal Physiology and Biochemistry of the Faculty of Animal Husbandry, Padjadjaran University, Jatinangor District, Sumedang Regency, West Java. This research was conducted to determine the effect of chitosan irradiation on cholesterol levels and triglyceride levels blood plasma of layer chicken. The research used an experimental method with orthogonal polynomial test. There were 50 laying hens phase layer as research object, five types of treatment, P0 = laying hens without Chitosan, P1 = laying hens with granting Chitosan 150 ppm, P2 = laying hens with granting Chitosan 200 ppm, P3 = laying hens with granting Chitosan 250 ppm, and P4 = laying hens with granting Chitosan 300 ppm. . Based on the statistic analysis result showed that administration of chitosan was significantly different (p <0.05) for cholesterol and triglyceride levels and 250 ppm was the most optimal way to reduce cholesterol and triglyceride levels.Keywords: Laying hen, chitosan irradiation, cholesterol, triglyceride