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  1. 33421
    “…The persons who treated an eye injury, as observed from this study, were doctors (14.29%), nurses (4.08%), chemists (17.35%), and traditional healers and fathers (3.06% each). …”
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    Eye Injuries Among Primary School Children in Enugu, Nigeria: Rural vs Urban
  2. 33422
    “…We noted a substantial sharing of genetic causes of low FEV(1) between heavy smokers and never smokers (p=2·29 × 10(−16)) and between individuals with and without doctor-diagnosed asthma (p=6·06 × 10(−11)). We discovered six novel genome-wide significant signals of association with extremes of FEV(1), including signals at four novel loci (KANSL1, TSEN54, TET2, and RBM19/TBX5) and independent signals at two previously reported loci (NPNT and HLA-DQB1/HLA-DQA2). …”
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    Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank
  3. 33423
    “…Certain specialties report more near misses than others, and doctors report more harm incidents than near misses. …”
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    Can Patient Safety Incident Reports Be Used to Compare Hospital Safety? Results from a Quantitative Analysis of the English National Reporting and Learning System Data
  4. 33424
    “…This scheme is safe; Compared with doctor experience-based subjective assessment, the scoring scheme was closer to patient physiological needs for transfusion and more reasonable; Utilization rate and the per capita consumption of RBC are obviously declined, which has clinical significance and is feasible. …”
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    Randomized Controlled Study on Safety and Feasibility of Transfusion Trigger Score of Emergency Operations
  5. 33425
    por Ngwenya, Solwayo
    Publicado 2016
    “…Blood loss was estimated postdelivery by the attending clinician – either a midwife or a doctor. At this maternity unit, blood loss is not measured but estimated owing to prevailing resource constraints. …”
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    Postpartum hemorrhage: incidence, risk factors, and outcomes in a low-resource setting
  6. 33426
    “…METHODS: This study was conducted with patients (N=10) in a 12-week physician-led wellness group offered by Family Doctors, LLC. Patients were given trackers in the second week of The Wellness Group and were interviewed 2 to 4 weeks after it ended. …”
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    Can a Free Wearable Activity Tracker Change Behavior? The Impact of Trackers on Adults in a Physician-Led Wellness Group
  7. 33427
    “…The trials included a range of care providers, including midwives, nurses, doctors, and lay workers. CONCLUSIONS: Interventions can be defined and described in many ways. …”
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    Antenatal care trial interventions: a systematic scoping review and taxonomy development of care models
  8. 33428
    “…However, participants felt that the concept of the multidisciplinary team (MDT) being responsible for recognizing death may not be possible in the existing Indian setting and a senior doctor may not always be available to document a MDT decision. …”
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    Feasibility and Acceptability of Implementing the Integrated Care Plan for the Dying in the Indian Setting: Survey of Perspectives of Indian Palliative Care Providers
  9. 33429
    “…PLAIN ENGLISH SUMMARY: The behaviour of people with diabetes (e.g. taking medication) and the behaviour of doctors and other healthcare professionals (e.g. checking patients’ blood sugar) are important. …”
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    Prioritising target behaviours for research in diabetes: Using the nominal group technique to achieve consensus from key stakeholders
  10. 33430
    “…In the first part of this study, we observed doctors’ ward rounds, pharmacists’ ward visits and nurses’ drug administration rounds, to find out if and how healthcare professionals interacted with patients about their medicines. …”
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    Patient and public involvement in data collection for health services research: a descriptive study
  11. 33431
    “…All participants had abstained from smoking for at least 12 months and medications were taken as recommended by participants' doctors during the study. Participants were randomly assigned by drawing numbered disks at random from a bag to do a 2 h walk either along a commercial street in London (Oxford Street) or in an urban park (Hyde Park). …”
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    Respiratory and cardiovascular responses to walking down a traffic-polluted road compared with walking in a traffic-free area in participants aged 60 years and older with chronic lung or heart disease and age-matched healthy controls: a randomised, crossover study
  12. 33432
    por Collier, Jane, Kienzler, Hanna
    Publicado 2018
    “…In total, 12 semi-structured interviews were conducted among doctors providing treatment to patients with CVD in secondary care settings. …”
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    Barriers to cardiovascular disease secondary prevention care in the West Bank, Palestine – a health professional perspective
  13. 33433
    “…METHODS: Data comprised 122,716 physician reviews, including reviews of 8501 doctors from a leading physician review website in China (haodf.com), collected between 2007 and 2015. …”
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    Developing Embedded Taxonomy and Mining Patients’ Interests From Web-Based Physician Reviews: Mixed-Methods Approach
  14. 33434
    “…While 77% (72/93) of participants who owned a smartphone and had asked a medical question in the last year placed the most trust with their doctors, nurses, or other health care professionals regarding answering a health-related question, 52% (48/93) most often accessed health information elsewhere. …”
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    Assessing the Attitudes and Perceptions Regarding the Use of Mobile Health Technologies for Living Kidney Donor Follow-Up: Survey Study
  15. 33435
    “…Most patients complied with the doctors’ advice completely (5430/10,290, 52.77%), whereas the rest reported partial compliance (3684/10,290, 35.80%) or no compliance at all (1176/10,290, 11.43%). …”
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    Using an Internet-Based Hospital to Address Maldistribution of Health Care Resources in Rural Areas of Guangdong Province, China: Retrospective and Descriptive Study
  16. 33436
    “…Polish patients do not frequently discuss the information gathered on the internet with their doctors.…”
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    Internet Usage by Polish Patients With Multiple Sclerosis: A Multicenter Questionnaire Study
  17. 33437
    por Madrigal, Lillian, Escoffery, Cam
    Publicado 2019
    “…The uses of health information found on the Web also significantly differed between participants with and without chronic diseases in affecting a decision about how to treat an illness or condition (49.2% [59/120] vs 35.0% [63/180], χ(2)(3)=6.7; P=.04), changing the way they cope with a chronic condition or manage pain (40.8% [49/120] vs 19.4% [35/180], χ(2)(2)=16.3; P<.001), and leading them to ask a doctor new questions or get a second opinion (37.5% [45/120] vs 19.6% [35/179], χ(2)(2)=11.8; P<.001). …”
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    Electronic Health Behaviors Among US Adults With Chronic Disease: Cross-Sectional Survey
  18. 33438
    por Yang, Jae Jeong, Yu, Danxia, Wen, Wanqing, Saito, Eiko, Rahman, Shafiur, Shu, Xiao-Ou, Chen, Yu, Gupta, Prakash C., Gu, Dongfeng, Tsugane, Shoichiro, Xiang, Yong-Bing, Gao, Yu-Tang, Yuan, Jian-Min, Tamakoshi, Akiko, Irie, Fujiko, Sadakane, Atsuko, Tomata, Yasutake, Kanemura, Seiki, Tsuji, Ichiro, Matsuo, Keitaro, Nagata, Chisato, Chen, Chien-Jen, Koh, Woon-Puay, Shin, Myung-Hee, Park, Sue K., Wu, Pei-Ei, Qiao, You-Lin, Pednekar, Mangesh S., He, Jiang, Sawada, Norie, Li, Hong-Lan, Gao, Jing, Cai, Hui, Wang, Renwei, Sairenchi, Toshimi, Grant, Eric, Sugawara, Yumi, Zhang, Shu, Ito, Hidemi, Wada, Keiko, Shen, Chen-Yang, Pan, Wen-Harn, Ahn, Yoon-Ok, You, San-Lin, Fan, Jin-Hu, Yoo, Keun-Young, Ashan, Habibul, Chia, Kee Seng, Boffetta, Paolo, Inoue, Manami, Kang, Daehee, Potter, John D., Zheng, Wei
    Publicado 2019
    “…Analysis was conducted between January 10, 2018, and August 31, 2018. EXPOSURES: Doctor-diagnosed diabetes, age, sex, education level, body mass index, and smoking status. …”
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    Association of Diabetes With All-Cause and Cause-Specific Mortality in Asia: A Pooled Analysis of More Than 1 Million Participants
  19. 33439
    “…METHODS: In a field study, we analyzed a dataset from a Web-based physician rating platform containing clickstream data for more than 5000 US doctors. We complemented this with an experimental lab study consisting of a sample of 112 students from a Dutch university. …”
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    When Similarity Beats Expertise—Differential Effects of Patient and Expert Ratings on Physician Choice: Field and Experimental Study
  20. 33440
    “…BACKGROUND: Many patients with cancer, including older patients (aged ≥65 years), consult the Web to prepare for their doctor’s visit. In particular, older patients have varying needs regarding the mode in which information is presented (eg, via textual, visual, or audiovisual modes) owing to age-related sensory (eg, impaired vision and hearing) and cognitive decline (eg, reduced processing speed). …”
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    Tailored Web-Based Information for Younger and Older Patients with Cancer: Randomized Controlled Trial of a Preparatory Educational Intervention on Patient Outcomes
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