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1.
J Clin Med ; 13(6)2024 Mar 12.
Article in English | MEDLINE | ID: mdl-38541843

ABSTRACT

Chronic diseases, such as type 2 diabetes (T2D), are difficult to manage because they demand continuous therapeutic review and monitoring. Beyond achieving the target HbA1c, new guidelines for the therapy of T2D have been introduced with the new groups of antidiabetics, glucagon-like peptide-1 receptor agonists (GLP-1ra) and sodium-glucose cotransporter-2 inhibitors (SGLT2-in). Despite new guidelines, clinical inertia, which can be caused by physicians, patients or the healthcare system, results in T2D not being effectively managed. This opinion paper explores the shift in T2D treatment, challenging assumptions and evidence-based recommendations, particularly for family physicians, considering the patient's overall situation in decision-making. We looked for the possible reasons for clinical inertia and the poor application of guidelines in the management of T2D. Guidelines for antidiabetic drugs should be more precise, providing case studies and clinical examples to define clinical contexts and contraindications. Knowledge communication can improve confidence and should include clear statements on areas of decision-making not supported by evidence. Precision medicine initiatives in diabetes aim to identify subcategories of T2D patients (including frail patients) using clustering techniques from data science applications, focusing on CV and poor treatment outcomes. Clear, unconditional recommendations for personalized T2D management may encourage drug prescription, especially for family physicians dealing with diverse patient contexts and clinical settings.

3.
Article in English | MEDLINE | ID: mdl-34200133

ABSTRACT

Lack of knowledge and mistrust towards vaccines represent a challenge in achieving the vaccination coverage required for population immunity. The aim of this study is to examine the opinion that specific demographic groups have about COVID-19 vaccination, in order to detect potential fears and reasons for negative attitudes towards vaccination, and to gain knowledge on how to prepare strategies to eliminate possible misinformation that could affect vaccine hesitancy. The data collection approach was based on online questionnaire surveys, divided into three groups of questions that followed the main postulates of the health belief theory-a theory that helps understanding a behaviour of the public in some concrete surrounding in receiving preventive measures. Ordinary least squares regression analyses were used to examine the influence of individual factors on refusing the vaccine, and to provide information on the perception of participants on the danger of COVID-19 infection, and on potential barriers that could retard the vaccine utility. There was an equal proportion of participants (total number 276) who planned on receiving the COVID-19 vaccine (37%), and of those who did not (36.3%). The rest (26.7%) of participants were still indecisive. Our results indicated that attitudes on whether to receive the vaccine, on how serious consequences might be if getting the infection, as well as a suspicious towards the vaccine efficacy and the fear of the vaccine potential side effects, may depend on participants' age (<40 vs. >40 years) and on whether they are healthcare workers or not. The barriers that make participants' unsure about of receiving the vaccine, such as a distrust in the vaccine efficacy and safety, may vary in different socio-demographic groups and depending on which is the point of time in the course of the pandemic development, as well as on the vaccine availability and experience in using certain vaccine formulas. There is a pressing need for health services to continuously provide information to the general population, and to address the root causes of mistrust through improved communication, using a wide range of policies, interventions and technologies.


Subject(s)
COVID-19 , Health Communication , COVID-19 Vaccines , Cross-Sectional Studies , Humans , Pandemics/prevention & control , SARS-CoV-2 , Vaccination
4.
Med Sci Monit ; 24: 6900-6909, 2018 Sep 29.
Article in English | MEDLINE | ID: mdl-30267533

ABSTRACT

BACKGROUND Relationships between serum prolactin concentrations and various CV risk factors in older adults have rarely been assessed. The aim of this study was to examine the relationships between serum prolactin concentrations and CV risk factors in older patients with multiple CV risk factors. MATERIAL AND METHODS This case-control study included 92 patients, 50-89 years old (median, 69 years), with multiple CV risk factors. We used data from general practice electronic health records and biochemical laboratory tests. Patients were divided according to categories of CV risk factors. RESULTS Serum prolactin concentrations were significantly higher in elderly people (£65 vs. >65) and in men (70.65±58.02 vs. 150.82±114.05 mIU/L), as well as in patients with lower renal function (156.70±127.23 vs. 72.53±37.25 mIU/L, the bottom vs. top quartile of creatinine clearance), higher serum homocysteine and TSH concentrations, and in those who used NSAID and statins. Parameters indicating chronic inflammation (CRP) and renal function decline (creatinine clearance) were significantly and independently correlated with increased serum prolactin concentrations in multiple regression analysis. CONCLUSIONS When assessing the relationships between prolactin and CV risk factors in older people with multiple CV risk factors, the effect of renal function decline and chronic inflammation should receive attention.


Subject(s)
Cardiovascular Diseases/blood , Prolactin/blood , Aged , Aged, 80 and over , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Cardiovascular Diseases/physiopathology , Case-Control Studies , Chronic Disease , Croatia/epidemiology , Databases, Factual , Female , Humans , Inflammation/physiopathology , Kidney/physiopathology , Kidney Function Tests , Male , Middle Aged , Risk Factors
5.
Prim Health Care Res Dev ; 12(4): 310-21, 2011 Oct.
Article in English | MEDLINE | ID: mdl-22284946

ABSTRACT

AIM: To introduce systems biology as a conceptual framework for research in family medicine, based on empirical data from a case study on the prediction of influenza vaccination outcomes. This concept is primarily oriented towards planning preventive interventions and includes systematic data recording, a multi-step research protocol and predictive modelling. BACKGROUND: Factors known to affect responses to influenza vaccination include older age, past exposure to influenza viruses, and chronic diseases; however, constructing useful prediction models remains a challenge, because of the need to identify health parameters that are appropriate for general use in modelling patients' responses. METHODS: The sample consisted of 93 patients aged 50-89 years (median 69), with multiple medical conditions, who were vaccinated against influenza. Literature searches identified potentially predictive health-related parameters, including age, gender, diagnoses of the main chronic ageing diseases, anthropometric measures, and haematological and biochemical tests. By applying data mining algorithms, patterns were identified in the data set. Candidate health parameters, selected in this way, were then combined with information on past influenza virus exposure to build the prediction model using logistic regression. FINDINGS: A highly significant prediction model was obtained, indicating that by using a systems biology approach it is possible to answer unresolved complex medical uncertainties. Adopting this systems biology approach can be expected to be useful in identifying the most appropriate target groups for other preventive programmes.


Subject(s)
Family Practice/methods , Health Services Research/methods , Influenza Vaccines , Influenza, Human/prevention & control , Systems Biology/methods , Aged , Aged, 80 and over , Algorithms , Concept Formation , Confidence Intervals , Female , Humans , Logistic Models , Male , Middle Aged , Odds Ratio , Patient Satisfaction , Preventive Medicine/methods , Treatment Outcome
6.
Coll Antropol ; 34(3): 871-6, 2010 Sep.
Article in English | MEDLINE | ID: mdl-20977075

ABSTRACT

The mammography, recommended as standard method for screening on breast cancer, can reveal suspicious lesions early enough to anable cancer elimination in entirely. Experience with women of the target population, 50-69 years old, included in the mass screening programs, show the reduction in the specific mortality by 30%. One of the main problem in organizing the preventive programs is how to increase responsiveness of subjects to screening. In the study, based on the large sample of over 1000 of subjects and 20 family medicine practices, included in the investigation, we showed that it is possible, by a pro-active involvement of family physicians teams and intensive educational and motivational activities, to achieve high level of over 80% of responsiveness to mammography screening. Analysis of the reasons of nonresponsiveness can contribute to better understanding of the mental processes included in a self-decision making. This, as the final aim, can help family physicians in their efforts to overcome many hidden barriers which obstruct their patients to accept the mammography screening.


Subject(s)
Breast Neoplasms/prevention & control , Mammography , Mass Screening , Aged , Breast Neoplasms/diagnostic imaging , Croatia/epidemiology , Family Practice , Female , Humans , Middle Aged
7.
Coll Antropol ; 34(2): 437-45, 2010 Jun.
Article in English | MEDLINE | ID: mdl-20698115

ABSTRACT

Knowledge of cardiovascular risk factors is increasing. At the same time, risk estimation becomes more and more difficult. The need for a more comprehensive, but more individually based approach is evident. To achieve this aim, we propose a systems biology approach in cardiovascular risk assessment. This means that a large amount of health data, describing many aspects of the health-status of patients, is collected and computed and the results are compared with existing knowledge. Finally, a clinical model is created, which can be the first step in ongoing research protocol, aimed at assessing cardiovascular risk. By using this approach, all potentially relevant risk factors can be identified on a small sample. Moreover, risk groups can be more specifically defined, based on the "natural" clustering of data, according to their predictive load. We tested this possibility on an example of hyperhomocysteinemia which is a well-known complex cardiovascular risk factor.


Subject(s)
Cardiovascular Diseases/epidemiology , Algorithms , Blood Cell Count , Blood Chemical Analysis , Cholesterol/blood , Diabetes Complications/epidemiology , Forecasting/methods , Glycated Hemoglobin/metabolism , Health Status , Homocysteine/blood , Humans , Hypertension/complications , Life Style , Risk Assessment , Triglycerides/blood , Urologic Diseases/chemically induced
8.
Coll Antropol ; 31(2): 441-50, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17847921

ABSTRACT

Recognizing high prevalence of Diabetes mellitus and cardiovascular disorders and low coverage by preventive examinations in the population of returnees, in Osijek Region, we initiated activities for early detection and better managing of chronic diseases. Measures done, were based on public health working methods, such as: education, solidarity and self-responsibility. A special attention was put on psychosocial aspects of the health-related matters. Exactly, free glucose tests were organized with subsequent healthy lifestyles advice session. It was brought to our attention that such intervention should be as much as possible individually oriented, considering many personal and social characteristics of an individual. Gynecological examinations for all women interested in were also organized. On that occasion, women were interviewed in order to get information about their motivation and obstacles for doing preventive examinations and difficulties in adaptation as well. Finally, outcomes of the Project were summarized and put in a larger social context.


Subject(s)
Chronic Disease/epidemiology , Chronic Disease/prevention & control , Gynecology/statistics & numerical data , Health Education/statistics & numerical data , Public Health/statistics & numerical data , Refugees , Adult , Aged , Child , Croatia/epidemiology , Female , Humans , Male , Mass Screening/statistics & numerical data , Middle Aged , Prevalence , Psychology , Risk Factors
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