CONTACT – communication protocol for family practitioners and specialists

2018 ◽  
Vol 86 (4) ◽  
pp. 300
Author(s):  
Krzysztof Sobczak ◽  
Agata Janaszczyk ◽  
Katarzyna Leoniuk

Introduction. Ability to gather and process medical data serves as a basic tool of doctor’s work, which can be improved by applying communication protocols. In most cases, however, instructions presented by such models are too general and do not take into account patients’ preferences. Material and Methods. The study was carried out in the form of an electronic questionairre sent to a randomly chosen group of adult patients (N = 967). It consisted of close-ended questions about the quality of communication skills of family practitioners and specialists working at outpatient clinics and health centers.  Results. Only 21% of patients claimed that the appointment started on time. 51% mentioned disruptions during the meeting, mainly by a third party (34%). A considerable majority of physicians carried out the interview in a manner that was understood by patients, nevertheless 56.6% of the respondents felt underinformed as far as the nature of their illness was concerned – these objections were mostly expressed by patients suffering from chronic diseases. Conclusions. Our research shows that a proper organization of work as well as observing the principles of appropriate clinical communication can facilitate doctors’ performance, and thus increase both the level of patients’ satisfaction and the quality of medical services.

2020 ◽  
Author(s):  
Ala Sarah Alaqra ◽  
Bridget Kane ◽  
Simone Fischer-Hübner

BACKGROUND Third-party cloud-based data analysis applications are proliferating in eHealth because of the expertise offered and their monetary advantage. However, privacy and security are critical when handling sensitive medical data in the cloud. Technical advances, based on “crypto magic” in privacy-enhancing machine learning, enable data analysis in encrypted form for maintaining confidentiality. The adoption of such technologies could be counter-intuitive to relevant stakeholders in eHealth; more attention is needed on human factors for establishing trust and transparency. OBJECTIVE To analyze eHealth stakeholders' mental models and the perceived trade-offs in regard to data analysis on encrypted medical data in the cloud. METHODS In this study, we used semi-structured interviews and report on 14 interviews with medical, technical, or research expertise in eHealth. RESULTS Results show differences in understanding of, and in trusting, the technology; caution is advised by technical-experts, whereas safety-assurances are required by medical-expert. Concerns regarding the technology relate to the type of encryption applied and achieved confidentiality, quality of analysis results, data integrity and availability, transparency, and trust. CONCLUSIONS Understanding risks and benefits is crucial, thus collaboration among relevant stakeholders is needed. In addition, informing clinicians and patients accordingly is important for transparency and establishing trust. CLINICALTRIAL none


Author(s):  
G.B. Lyubomirsky ◽  
T.L. Redinova

This article assesses the reliability, constructive validity and reproducibility of a special questionnaire for determining the quality parameters of rendering physiotherapeutic care to patients with chronic generalized periodontitis. The analysis of literary sources showed that there are studies of quality of dental services, however, we have not met with research into the quality and comfort of physiotherapy procedures for periodontal patients. At the same time, the importance of this issue is obvious and requires study and analysis. Without making judgments about the quality of the service, a full-fledged medical dental procedure can not take place. The assortment of physical devices and methods grows annually, their use in the periodontoloical treatment is not always sufficiently justified, the effectiveness is not always confimed therefore it is important to pay attention not only to the marketing efforts directed by the clinics for comfort, but also to analyze the ideas about the quality of the clinical characteristics of physiotherapeutic procedures.


2021 ◽  
Vol 14 (1) ◽  
pp. 205979912098776
Author(s):  
Joseph Da Silva

Interviews are an established research method across multiple disciplines. Such interviews are typically transcribed orthographically in order to facilitate analysis. Many novice qualitative researchers’ experiences of manual transcription are that it is tedious and time-consuming, although it is generally accepted within much of the literature that quality of analysis is improved through researchers performing this task themselves. This is despite the potential for the exhausting nature of bulk transcription to conversely have a negative impact upon quality. Other researchers have explored the use of automated methods to ease the task of transcription, more recently using cloud-computing services, but such services present challenges to ensuring confidentiality and privacy of data. In the field of cyber-security, these are particularly concerning; however, any researcher dealing with confidential participant speech should also be uneasy with third-party access to such data. As a result, researchers, particularly early-career researchers and students, may find themselves with no option other than manual transcription. This article presents a secure and effective alternative, building on prior work published in this journal, to present a method that significantly reduced, by more than half, interview transcription time for the researcher yet maintained security of audio data. It presents a comparison between this method and a fully manual method, drawing on data from 10 interviews conducted as part of my doctoral research. The method presented requires an investment in specific equipment which currently only supports the English language.


BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e043997
Author(s):  
Charilaos Lygidakis ◽  
Jean Paul Uwizihiwe ◽  
Michela Bia ◽  
Francois Uwinkindi ◽  
Per Kallestrup ◽  
...  

ObjectivesTo report on the disease-related quality of life of patients living with diabetes mellitus in Rwanda and identify its predictors.DesignCross-sectional study, part of the baseline assessment of a cluster-randomised controlled trial.SettingOutpatient clinics for non-communicable diseases of nine hospitals across Rwanda.ParticipantsBetween January and August 2019, 206 patients were recruited as part of the clinical trial. Eligible participants were those aged 21–80 years and with a diagnosis of diabetes mellitus for at least 6 months. Illiterate patients, those with severe hearing or visual impairments, those with severe mental health conditions, terminally ill, and those pregnant or in the postpartum period were excludedPrimary and secondary outcome measuresDisease-specific quality of life was measured with the Kinyarwanda version of the Diabetes-39 (D-39) questionnaire. A glycated haemoglobin (HbA1c) test was performed on all patients. Sociodemographic and clinical data were collected, including medical history, disease-related complications and comorbidities.ResultsThe worst affected dimensions of the D-39 were ‘anxiety and worry’ (mean=51.63, SD=25.51), ‘sexual functioning’ (mean=44.58, SD=37.02), and ‘energy and mobility’ (mean=42.71, SD=20.69). Duration of the disease and HbA1c values were not correlated with any of the D-39 dimensions. A moderating effect was identified between use of insulin and achieving a target HbA1c of 7% in the ‘diabetes control’ scale. The most frequent comorbidity was hypertension (49.0% of participants), which had a greater negative effect on the ‘diabetes control’ and ‘social burden’ scales in women. Higher education was a predictor of less impact on the ‘social burden’ and ‘energy and mobility’ scales.ConclusionsSeveral variables were identified as predictors for the five dimensions of quality of life that were studied, providing opportunities for tailored preventive programmes. Further prospective studies are needed to determine causal relationships.Trial registration numberNCT03376607.


2010 ◽  
Vol 32 (4) ◽  
pp. 368-376 ◽  
Author(s):  
Thijs Fassaert ◽  
Mark Nielen ◽  
Robert Verheij ◽  
Arnoud Verhoeff ◽  
Jack Dekker ◽  
...  

Diabetes Care ◽  
2008 ◽  
Vol 31 (11) ◽  
pp. 2166-2168 ◽  
Author(s):  
M. C.E. Rossi ◽  
A. Nicolucci ◽  
A. Arcangeli ◽  
A. Cimino ◽  
G. De Bigontina ◽  
...  

IEEE Software ◽  
1999 ◽  
Vol 16 (4) ◽  
pp. 55-57 ◽  
Author(s):  
W.T. Councill

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