Dataset Information

Determinants of Primary Nonadherence to Medications Prescribed by General Practitioners Among Adults in Hungary: Cross-Sectional Evaluation of Health Insurance Data.

ABSTRACT: Background: Primary nonadherence to prescribed medications occurs when patients do not fill or dispense prescriptions written by healthcare providers. Although it has become an important public health issue in recent years, little is known about its frequency, causes, and consequences. Moreover, the pattern of risk factors shows remarkable variability across countries according to the published results. Our study aimed to assess primary nonadherence to medications prescribed by general practitioners (GPs) and its associated factors among adults in Hungary for the period of 2012-2015. Methods: Data on all general medical practices (GMPs) of the country were obtained from the National Health Insurance Fund and the Central Statistical Office. The ratio of the number of dispensed medications to the number of prescriptions written by a GP for adults was used to determine the medication adherence, which was aggregated for GMPs. The effect of GMP characteristics (list size, GP vacancy, patients' education provided by a GMP, settlement type [urban or rural], and geographical location [by county] of the center) on adherence, standardized for patients' age, sex, and eligibility for an exemption certificate, were investigated through generalized linear regression modeling. Results: A total of 281,315,386 prescriptions were dispensed out of 438,614,000 written by a GP. Overall, 64.1% of prescriptions were filled. According to the generalized linear regression coefficients, there was a negative association between standardized adherence and urban settlement type (b = -0.099, 95%CI = -0.103 to -0.094), higher level of education (b = -0.440, 95%CI = -0.468 to -0.413), and vacancy of the general practices (b = -0.193, 95%CI = -0.204 to -0.182). The larger GMP size proved to be a risk factor, and there was a significant geographical inequality for counties as well. Conclusions: More than one-third of the written prescriptions of GPs for adults in Hungary were not dispensed. This high level of nonadherence had great variability across GMPs, and can be explained by structural characteristics of GMPs, the socioeconomic status of patients provided, and the quality of cooperation between patients and GPs. Moreover, our findings suggest that the use of the dispensed-to-prescribed medication ratio in routine monitoring of primary health care could effectively support the necessary interventions.

SUBMITTER: Harsha N

PROVIDER: S-EPMC6836763 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Determinants of Primary Nonadherence to Medications Prescribed by General Practitioners Among Adults in Hungary: Cross-Sectional Evaluation of Health Insurance Data.

Harsha Nouh N Kőrösi László L Pálinkás Anita A Bíró Klára K Boruzs Klára K Ádány Róza R Sándor János J Czifra Árpád Á

Frontiers in pharmacology 20191031

<b>Background:</b> Primary nonadherence to prescribed medications occurs when patients do not fill or dispense prescriptions written by healthcare providers. Although it has become an important public health issue in recent years, little is known about its frequency, causes, and consequences. Moreover, the pattern of risk factors shows remarkable variability across countries according to the published results. Our study aimed to assess primary nonadherence to medications prescribed by general pr ...[more]

PMID: 31736757

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Project description:Cervical cancer is a preventable disease. Unfortunately, its mortality is high in Hungary: 9.2 deaths /100000 women/year in 2015. The Hungarian organized, nationwide cervical screening program was launched in 2003, but it could improve the coverage rate of cervical cancer screening only by a few percentage points. The vast majority of women still uses opportunistic screening and the organized screening program had little impact on participation by women who never or rarely consult their gynecologists. We assessed whether involving general practitioners in the cervical cancer screening process would increase participation.The study consisted of two parts: 1. A questionnaire-based health survey was conducted using a representative sample of women aged 25 to 65 years from 11 Hungarian counties, in which we studied where women obtained information about cervical cancer screening. 2. Additionally, a model program and its evaluation were implemented in the practices of general practitioners in one of the 11 counties (Zala county). In this program, general practitioners were informed of their patients' participation in the cervical cancer screening program, and they motivated those who refused the invitation.Questionnaire-based health survey: A total of 74% (95% confidence interval (CI): 70-77%) of the target population had a screening examination within the previous 3 years. The majority (58, 95% CI: 54-62%) of the target population did not ask for information about cervical cancer screening at all. Only 21% (95% CI: 17-26%) consulted their general practitioners about cancer screening. Evaluation of the model program: the general practitioners effectively motivated 24 out of 88 women (27, 95% CI: 18-38%) who initially refused to participate in the screening program.The majority of Hungarian women are not informed about cervical cancer screening beyond the invitation letter. General practitioners could play a more important role in mobilizing the population to utilize preventive services. The involvement of general practitioners in the organization of the cervical cancer screening program could increase the participation of those women who generally refuse the services.

Project description:BackgroundA vigilant prescription of drugs during pregnancy can potentially safeguard the growing fetus from the deleterious effect of the drug while attempting to manage the mother's health problems. There is a paucity of information about the drug utilization pattern in the area of investigation. Hence, this study was implemented to investigate the pattern of drug utilization and its associated factors among pregnant women in Adigrat general hospital, Northern Ethiopia.MethodsAn institution-based cross-sectional study was conducted among randomly selected 314 pregnant women who attended obstetrics-gynecology and antenatal care units of the hospital. Relevant data were retrieved from the pregnant women's medical records and registration logbook. The drugs prescribed were categorized based on the United States Food and Drug Administration (US-FDA) fetal harm classification system. Data analysis was done using SPSS version 20 statistical software. Multivariate logistic regression was employed to analyze the association of the explanatory variables with the medication use, and p < 0.05 was declared statistically significant.ResultsThe overall prescribed drug use in this study was found to be 87.7%. A considerable percentage of the study participants (41.4%) were prescribed with supplemental drugs (iron folate being the most prescribed drug) followed by antibiotics (23.4%) and analgesics (9.2%). According to the US-FDA drug's risk classification, 42.5, 37, 13, and 7% of the drugs prescribed were from categories A, B, C, and D or X respectively. Prescribed drug use was more likely among pregnant women who completed primary [AOR = 5.34, 95% CI (1.53-18.6)] and secondary education [AOR = 4.1, 95% CI (1.16-14)], who had a history of chronic illness [AOR = 7.9, 95% CI (3.14-19.94)] and among multigravida women [AOR = 2.9, 95% CI (1.57 5.45)].ConclusionsThe finding of this study revealed that a substantial proportion of pregnant women received drugs with potential harm to the mother and fetus. Reasonably, notifying health practitioners to rely on up-to-date treatment guidelines strictly is highly demanded. Moreover, counseling and educating pregnant women on the safe and appropriate use of medications during pregnancy are crucial to mitigate the burden that the mother and the growing fetus could face.

Project description:BackgroundIn developed countries, primary care physicians manage most patients with depression. Relatively few studies allow a comprehensive assessment of the decisions these doctors make in these cases and the factors associated with these decisions. We studied how general practitioners (GPs) manage the acute phase of a new episode of non-comorbid major depression (MD) and the factors associated with their decisions.Methodology/principal findingsIn this cross-sectional telephone survey, professional investigators interviewed an existing panel of randomly selected GPs (1249/1431, response rate: 87.3%). We used case-vignettes about new MD episodes in 8 versions differing by patient gender and socioeconomic status (blue/white collar) and disease intensity (mild/severe). GPs were randomized to receive one of these 8 versions. Overall, 82.6% chose pharmacotherapy; among them GPs chose either an antidepressant (79.8%) or an anxiolytic/hypnotic alone (18.5%). They rarely recommended referral for psychotherapy alone, regardless of severity, but 38.2% chose it in combination with pharmacotherapy. Antidepressant prescription was associated with severity of depression (OR?=?1.74; 95%CI?=?1.33-2.27), patient gender (female, OR?=?0.75; 95%CI?=?0.58-0.98), GP personal characteristics (e.g. history of antidepressant treatment: OR?=?2.31; 95%CI?=?1.41-3.81) and GP belief that antidepressants are overprescribed in France (OR?=?0.63; 95%CI?=?0.48-0.82). The combination of antidepressants and psychotherapy was associated with severity of depression (OR?=?1.82; 95%CI?=?1.31-2.52), patient's white-collar status (OR?=?1.58; 95%CI?=?1.14-2.18), and GPs' dissatisfaction with cooperation with mental health specialists (OR?=?0.63; 95%CI?=?0.45-0.89). These choices were not associated with either GPs' professional characteristics or psychiatrist density in the GP's practice areas.Conclusions/significanceGPs' choices for treating severe MD complied with clinical guidelines better than those for mild MD; GPs rarely recommended psychotherapy alone but rather as a complement to pharmacotherapy. Their decisions were mainly influenced by personal life experience and attitudes regarding treatment more than by professional characteristics. These results call into question the methods and content of continuing medical education in France about MD management.

Project description:ObjectiveDiabetic retinopathy (DR) may lead to irreversible damage to the eye and cause blindness if diagnosed in its advanced stages. Artificial intelligence (AI) may support screening and contribute to a timely diagnosis. The aim of this study was to evaluate factors that might influence the success of implementing AI-supported devices for DR screenings in general practice.MethodsA questionnaire with modules on attitudes toward digital solutions, technical factors, perceived patient perspectives, and sociodemographic data was constructed and 2100 general practitioners (GPs) in Germany were invited to participate via a personal letter.ResultsTwo hundred nine physicians participated in the survey (10% response rate, mean age = 54 years, 46% women). Acquisition costs (mean = 1.37), remuneration (mean = 1.46), and running costs (mean = 1.40) were considered particularly relevant in the context of AI-based screening tools. GPs indicated that a mean of €27.00 (SD = 19) was considered to be an appropriate reimbursement for an AI-based screening for DR in their practice. Less relevant factors were availability of a smartphone used in the practice (mean = 2.53) and time until the examination result was available (mean = 2.29). Important technical factors were practicability of the device (mean = 1.27), unproblematic installation of any necessary software (mean = 1.34), and the integrability into the practice information system (mean = 1.44). Considering the patient welfare, physicians rated the accuracy of the examination, omission of pupil dilation, and the duration of the examination as the most important factors. Participants ranked the factors broadening the scope of care, strengthening the primary care (PC) range, and signs of modern medical practice as the most important factors for making an AI-based screening tool attractive for their practice.ConclusionsThese findings serve as a basis for a successful implementation of AI-assisted screening devices in PC and might facilitate early screenings for ophthalmological diseases in general practice. The most relevant barriers that need to be overcome for a successful implementation of such tools include clarification of the costs and reimbursement policies.

Dataset Information

Determinants of Primary Nonadherence to Medications Prescribed by General Practitioners Among Adults in Hungary: Cross-Sectional Evaluation of Health Insurance Data.

Publications

Determinants of Primary Nonadherence to Medications Prescribed by General Practitioners Among Adults in Hungary: Cross-Sectional Evaluation of Health Insurance Data.

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