scholarly journals Nursing Informatics Research Trends: Findings from an International Survey

2021 ◽  
Author(s):  
Laura-Maria Peltonen ◽  
Raji Nibber ◽  
Lorraine Block ◽  
Charlene Ronquillo ◽  
Erika Lozada Perezmitre ◽  
...  

This follow-up survey on trends in Nursing Informatics (NI) was conducted by the International Medical Informatics Association (IMIA) Student and Emerging Professionals (SEP) group as a cross-sectional study in 2019. There were 455 responses from 24 countries. Based on the findings NI research is evolving rapidly. Current ten most common trends include: clinical quality measures, clinical decision support, big data, artificial intelligence, care coordination, education and competencies, patient safety, mobile health, description of nursing practices and evaluation of patient outcomes. The findings help support the efforts to efficiently use resources in the promotion of health care activities, to support the development of informatics education and to grow NI as a profession.

2021 ◽  
pp. 105060
Author(s):  
Anu-Marja Kaihlanen ◽  
Kia Gluschkoff ◽  
Ulla-Mari Kinnunen ◽  
Kaija Saranto ◽  
Outi Ahonen ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.


2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Desalew Tilahun ◽  
Abebe Abera ◽  
Gugsa Nemera

Abstract Background Health literacy plays a prominent role in empowering individuals for prevention as well as management of non-communicable diseases (NCDs). However, there is paucity of information on the health literacy of patients with non-communicable diseases in Ethiopia. Therefore, this study aimed to assess communicative health literacy and associated factors in patients with NCDs on follow-up at Jimma Medical Center (JMC), Ethiopia. Methods A cross-sectional study was conducted from 4 May 2020 to 4 July 2020 with 408 randomly selected adult patients, attending outpatient department of JMC in Ethiopia. The final sample size was obtained by using single population proportion formula. All patients with NCDs who were on follow-up at chronic illness clinic, JMC, were used as a source population. All eligible patients with NCDs who fulfilled the inclusion criteria were included in this study. A simple random sampling technique was used to recruit study participants. Data were collected through structured interviewer administered questionnaires on the six of nine health literacy domains using Health Literacy Questionnaire (HLQ) containing 30 items, socio-demographic and socio-economic characteristics, disease-related factors, and health information sources. Multivariable logistic regression was executed to determine the associations. Result Descriptive analysis shows more than half of the respondents in four of the six health literacy domains had high communicative health literacy level (CHLL). The proportion of people with high CHLL across each of the domains was as follows: health care provider support (56.1%), social support for health (53.7%), active engagement with a healthcare provider (56.1%), and navigating healthcare system (53.4%). We found educational status was significantly associated with five of six health literacy domains whereas number of sources was associated with four of six health literacy domains. Conclusion The overall findings of the current study indicate that health literacy levels vary according to socio-demographic and disease characteristics of patients. Thus, healthcare professionals should assess patients’ health literacy level and tailor information and support to the health literacy skills and personal context of their patients.


2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S120-S120
Author(s):  
G O Yeabyo

Abstract Introduction/Objective Cancer is one of a great public health problem in developing countries like Ethiopia and scarcity of histopathology laboratory is another burden for diagnosis and follow up of cancer diseases. The main purpose of this study is to evaluate the accessibility of histopathology services in Ethiopia. Methods Cross sectional study design were used to analyze the status of histopathology services in Ethiopia. Results There are 13 histopathology laboratories in the nation and a survey was conducted at these institutions. Out of these 13 Histopathology services seven are located in the capital, Addis Ababa and six found out of the capital located in four different regions. About 40,239,100 habitants have no histopathology service around their catchment area. Conclusion There are very limited histopathology laboratories, as a result diagnosis and prevention of cancer diseases are inadequate throughout the country.


2021 ◽  
pp. 095646242110240
Author(s):  
Genesis S Huerta-Vera ◽  
Manuel A Amarista ◽  
Fernando A Mejía ◽  
Ana B Graña ◽  
Elsa V Gonzalez-Lagos ◽  
...  

Due to a huge crisis extensive to health services many Venezuelan people living with HIV (PLWH) had migrated abroad, including Peru where favorable laws were in place until June 2019. We describe the health status and epidemiological trends of PLWH from Venezuela at an HIV program in Lima. We analyzed baseline and follow-up data of all Venezuelan PLWH enrolled in our HIV program from January 2017 to December 2019. A cross-sectional study in a subsample served to describe ARV adherence and context of migration. Between 2017-2019 our HIV Program registered 398 Venezuelan PLWH, representing 20% of the 2018 annual enrollments; numbers decreased since mid-2019. The median age was 30 years (IQR 26;37) and 90.5% were men. Between 2017 and 2019, the proportion with diagnosis in Peru increased from 14.3% to 60.9%; of AIDS stage at entry, from 8.8% to 27.2%. By December 2019, 182/250 (72.8%) were still in care, and 43 (10.8%) had not started ART. Viral suppression evaluated in 195, was achieved in 71.8%. From 2017 to 2019, migrant PLWH arrived in worsened clinical conditions, with increasing diagnosis in Peru; the flow of migrant PLWH entering care diminished with less favorable laws. Viral suppression rates were suboptimal.


2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Oliver Okoth Achila ◽  
Millen Ghebretinsae ◽  
Abraham Kidane ◽  
Michael Simon ◽  
Shewit Makonen ◽  
...  

Objective. There is a dearth of relevant research on the rapidly evolving epidemic of diabetes mellitus (particularly Type 2 diabetes mellitus) in sub-Saharan Africa. To address some of these issues in the Eritrean context, we conducted a cross-sectional study on glycemic and lipid profiles and associated risk factors. Methods. A total of 309 patients with diabetes mellitus on regular follow-up at the Diabetic and Hypertensive Department at Halibet Regional Referral Hospital, Asmara, were enrolled for the study. Data on specific clinical chemistry and anthropomorphic parameters was collected. Chi-squared (χ2) test or Fischer’s exact test was used to evaluate the relationship between specific variables. Multivariate logistic regression (backward: conditional) was undertaken to identify the factors associated with increased odds of suboptimal values in glucose and specific lipid panel subfractions. Results. High proportions of patients (76.7%) had suboptimal levels of HbA1c with a mean±SD of 8.6%±1.36, respectively. In multivariate regression analysis, the likelihood of HbA1c≥7% was higher in patients with abnormal WHR (AOR=3.01, 95% CI, 3.01 (1.15–7.92=0.024)) and in patients without hypertension (AOR=1.97, 95% CI (1.06–3.56), p=0.021). A unit reduction in eGFR was also associated with HbA1c≥7% (AOR=0.99, 95% CI (0.98–1=0.031)). In a separate analysis, the data shows that 80.9% of the patients had dyslipidemia. In particular, 62.1% of the patients had TC≥200 mg/dL (risk factors: sex, hypertension, and HbA1c concentration), 81.6% had LDL‐C≥100 mg/dL (risk factors: sex and hypertension), 56.3% had TG≥150 (risk factors: sex, HbA1c, and waist circumference), 62.8% had abnormal HDL-C (risk factors: waist circumference), 78.3% had non‐HDL<130 mg/dL (risk factors: duration of disease, reduced estimated glomerular filtration rate, and HbA1c), and 45.3% had abnormal TG/HDL (risk factors: sex, age of patient, FPG, and waist circumference). Conclusions. The quality of care, as measured by glycemic and specific lipid targets, in this setting is suboptimal. Therefore, there is an urgent need for simultaneous improvements in both indicators. This will require evidence-based optimization of pharmacological and lifestyle interventions. Therefore, additional studies, preferably longitudinal studies with long follow-up, are required on multiple aspects of DM.


PEDIATRICS ◽  
1992 ◽  
Vol 89 (5) ◽  
pp. 834-838 ◽  
Author(s):  
Richard C. Wasserman ◽  
Candace A. Croft ◽  
Sarah E. Brotherton

In this cross-sectional study, the vision-screening process is described for 8417 children aged 3 to 5 seen for health supervision in a group of 102 pediatric practices in 23 states and Puerto Rico. Three hundred forty children who failed screening (63% of those who failed) were followed up 2 months after initial screening. The sample was 52% male, 86% white, 9% black, 3% Hispanic, and 1% Asian. Vision screening was attempted on 66% of children overall. Pediatricians' reasons for not screening were "not routine" (44%), "too young" (40%), and "screening done previously" (17%). Younger children were less likely to be screened than older children (39% of those aged 3), and Hispanics were less likely to be screened than other ethnic groups (P &lt; .001). Thirty-three percent of children received no screening for latent strabismus. Two months later, 50% of parents whose child had failed a vision test were unaware of this fact on questionnaire follow-up. Eighty-five percent of children referred to an eye specialist had made or kept an appointment. It is concluded that pediatricians need to increase vision screening among younger preschool children and communicate more effectively to parents the results of screening failure.


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