Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 era
This study examines self-reported changes in antibiotic prescribing practices among 222 physicians post-COVID-19, focusing on factors influencing these changes. The sample had a mean age of 47.7 years (SD = 11.1), with 62.2% female participants. Statistical analyses included Mann-Whitney U tests and...
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| Format: | Article |
| Language: | English |
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Pensoft Publishers
2025-01-01
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| Series: | Pharmacia |
| Online Access: | https://pharmacia.pensoft.net/article/139140/download/pdf/ |
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| _version_ | 1841545940632076288 |
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| author | Krassimira Zaykova Silviya Nikolova Rouzha Pancheva Asena Serbezova Ralitsa Zlatanova-Velikova |
| author_facet | Krassimira Zaykova Silviya Nikolova Rouzha Pancheva Asena Serbezova Ralitsa Zlatanova-Velikova |
| author_sort | Krassimira Zaykova |
| collection | DOAJ |
| description | This study examines self-reported changes in antibiotic prescribing practices among 222 physicians post-COVID-19, focusing on factors influencing these changes. The sample had a mean age of 47.7 years (SD = 11.1), with 62.2% female participants. Statistical analyses included Mann-Whitney U tests and logistic regression to identify predictors of prescribing changes. Physicians reporting changes were more likely to prescribe antibiotics due to patient demand (U = 2725, p < 0.001), time constraints (U = 3158, p < 0.01), concerns about complications (U = 2803, p < 0.01), and peer behavior (U = 3190, p < 0.01). Logistic regression revealed that age predicted changes in prescribing behavior (OR = 1.0831, p = 0.029), while professional experience (OR = 0.9274, p = 0.044) and additional specializations (OR = 0.3835, p = 0.023) were inversely related. Residence in villages showed a trend toward increased prescribing (OR = 7.8055, p = 0.097). These findings underscore the influence of demographic, professional, and geographic factors on antibiotic prescribing practices. Future research should investigate the long-term effects on antibiotic resistance and evaluate targeted interventions to address the identified drivers of prescribing behavior. |
| format | Article |
| id | doaj-art-d4607084457c4234b44ad7bb293b5ebb |
| institution | Kabale University |
| issn | 2603-557X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Pensoft Publishers |
| record_format | Article |
| series | Pharmacia |
| spelling | doaj-art-d4607084457c4234b44ad7bb293b5ebb2025-01-11T08:30:37ZengPensoft PublishersPharmacia2603-557X2025-01-01721910.3897/pharmacia.72.e139140139140Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 eraKrassimira Zaykova0Silviya Nikolova1Rouzha Pancheva2Asena Serbezova3Ralitsa Zlatanova-Velikova4Medical UniversityMedical UniversityMedical UniversityMedical UniversityMedical UniversityThis study examines self-reported changes in antibiotic prescribing practices among 222 physicians post-COVID-19, focusing on factors influencing these changes. The sample had a mean age of 47.7 years (SD = 11.1), with 62.2% female participants. Statistical analyses included Mann-Whitney U tests and logistic regression to identify predictors of prescribing changes. Physicians reporting changes were more likely to prescribe antibiotics due to patient demand (U = 2725, p < 0.001), time constraints (U = 3158, p < 0.01), concerns about complications (U = 2803, p < 0.01), and peer behavior (U = 3190, p < 0.01). Logistic regression revealed that age predicted changes in prescribing behavior (OR = 1.0831, p = 0.029), while professional experience (OR = 0.9274, p = 0.044) and additional specializations (OR = 0.3835, p = 0.023) were inversely related. Residence in villages showed a trend toward increased prescribing (OR = 7.8055, p = 0.097). These findings underscore the influence of demographic, professional, and geographic factors on antibiotic prescribing practices. Future research should investigate the long-term effects on antibiotic resistance and evaluate targeted interventions to address the identified drivers of prescribing behavior.https://pharmacia.pensoft.net/article/139140/download/pdf/ |
| spellingShingle | Krassimira Zaykova Silviya Nikolova Rouzha Pancheva Asena Serbezova Ralitsa Zlatanova-Velikova Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 era Pharmacia |
| title | Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 era |
| title_full | Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 era |
| title_fullStr | Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 era |
| title_full_unstemmed | Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 era |
| title_short | Impact of demographic and professional factors on antibiotic prescription patterns in the post-COVID-19 era |
| title_sort | impact of demographic and professional factors on antibiotic prescription patterns in the post covid 19 era |
| url | https://pharmacia.pensoft.net/article/139140/download/pdf/ |
| work_keys_str_mv | AT krassimirazaykova impactofdemographicandprofessionalfactorsonantibioticprescriptionpatternsinthepostcovid19era AT silviyanikolova impactofdemographicandprofessionalfactorsonantibioticprescriptionpatternsinthepostcovid19era AT rouzhapancheva impactofdemographicandprofessionalfactorsonantibioticprescriptionpatternsinthepostcovid19era AT asenaserbezova impactofdemographicandprofessionalfactorsonantibioticprescriptionpatternsinthepostcovid19era AT ralitsazlatanovavelikova impactofdemographicandprofessionalfactorsonantibioticprescriptionpatternsinthepostcovid19era |