2019-2024 reg.
<div><p>Objectives</p><p>To explore the variability of utilization patterns of preventive dental services among diverse demographic groups in the state of Indiana.</p><p>Methods</p><p>This study utilizes a retrospective data analysis approach to examin...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
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| _version_ | 1849927643652161536 |
|---|---|
| author | Anubhuti Shukla (12152228) |
| author2 | Bhavya Vaishnavi Amrutham (22676313) Sheetal Manchanda (16951417) |
| author2_role | author author |
| author_facet | Anubhuti Shukla (12152228) Bhavya Vaishnavi Amrutham (22676313) Sheetal Manchanda (16951417) |
| author_role | author |
| dc.creator.none.fl_str_mv | Anubhuti Shukla (12152228) Bhavya Vaishnavi Amrutham (22676313) Sheetal Manchanda (16951417) |
| dc.date.none.fl_str_mv | 2025-11-24T18:23:53Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0337471.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/2019-2024_reg_/30696570 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Evolutionary Biology Science Policy Virology Biological Sciences not elsewhere classified urban zip code preventive dental services year dental students younger age group older age group indiana university school xlink "> inequities demographic variables among based clinical rotations indiana </ p xlink "> identified among demographic characteristics d4 students via redcap underserved population study utilizes private practices multicultural ethnicities insurance status every patient descriptive statistics 72 ). 17 years &# 8221 &# 8220 |
| dc.title.none.fl_str_mv | 2019-2024 reg. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Objectives</p><p>To explore the variability of utilization patterns of preventive dental services among diverse demographic groups in the state of Indiana.</p><p>Methods</p><p>This study utilizes a retrospective data analysis approach to examine the preventive dental services utilization among patients treated by senior-year dental students (D4 students) during their community-based clinical rotations at Federally Qualified Health Centers and private practices, affiliated with Indiana University School of Dentistry. The data were extracted from daily patient reports submitted by D4 students for every patient they examined during their rotations, via RedCap. Descriptive statistics and generalized linear modeling using main effects were performed to identify the utilization of different preventive services across urbanization stratification and demographic variables among the included participants.</p><p>Results</p><p>There was a statistically significant (p < 0.001) distribution of all dental preventive services according to demographic characteristics, viz. age, ethnicity, location (rural or urban), primary language spoken, and insurance status. There were 30.39 times higher odds of utilizing preventive dental services in a rural zip code compared to an urban zip code. Individuals with multicultural ethnicities (OR= 0.91, 95% CI: 0.54, 1.53) were less likely to utilize preventive dental services than the “Other” category, although the value was not significant (p = 0.72). Also, the younger age group (less than 17 years) was more likely to utilize preventive dental services than the older age group (p < 0.001).</p><p>Conclusions</p><p>Inequities in the utilization of preventive dental services were identified among the underserved population of Indiana, according to demographic characteristics.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_f68f65ef2be623ea50a1a08b8017672d |
| identifier_str_mv | 10.1371/journal.pone.0337471.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30696570 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | 2019-2024 reg.Anubhuti Shukla (12152228)Bhavya Vaishnavi Amrutham (22676313)Sheetal Manchanda (16951417)BiotechnologyEvolutionary BiologyScience PolicyVirologyBiological Sciences not elsewhere classifiedurban zip codepreventive dental servicesyear dental studentsyounger age groupolder age groupindiana university schoolxlink "> inequitiesdemographic variables amongbased clinical rotationsindiana </ pxlink ">identified amongdemographic characteristicsd4 studentsvia redcapunderserved populationstudy utilizesprivate practicesmulticultural ethnicitiesinsurance statusevery patientdescriptive statistics72 ).17 years&# 8221&# 8220<div><p>Objectives</p><p>To explore the variability of utilization patterns of preventive dental services among diverse demographic groups in the state of Indiana.</p><p>Methods</p><p>This study utilizes a retrospective data analysis approach to examine the preventive dental services utilization among patients treated by senior-year dental students (D4 students) during their community-based clinical rotations at Federally Qualified Health Centers and private practices, affiliated with Indiana University School of Dentistry. The data were extracted from daily patient reports submitted by D4 students for every patient they examined during their rotations, via RedCap. Descriptive statistics and generalized linear modeling using main effects were performed to identify the utilization of different preventive services across urbanization stratification and demographic variables among the included participants.</p><p>Results</p><p>There was a statistically significant (p < 0.001) distribution of all dental preventive services according to demographic characteristics, viz. age, ethnicity, location (rural or urban), primary language spoken, and insurance status. There were 30.39 times higher odds of utilizing preventive dental services in a rural zip code compared to an urban zip code. Individuals with multicultural ethnicities (OR= 0.91, 95% CI: 0.54, 1.53) were less likely to utilize preventive dental services than the “Other” category, although the value was not significant (p = 0.72). Also, the younger age group (less than 17 years) was more likely to utilize preventive dental services than the older age group (p < 0.001).</p><p>Conclusions</p><p>Inequities in the utilization of preventive dental services were identified among the underserved population of Indiana, according to demographic characteristics.</p></div>2025-11-24T18:23:53ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0337471.s001https://figshare.com/articles/dataset/2019-2024_reg_/30696570CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306965702025-11-24T18:23:53Z |
| spellingShingle | 2019-2024 reg. Anubhuti Shukla (12152228) Biotechnology Evolutionary Biology Science Policy Virology Biological Sciences not elsewhere classified urban zip code preventive dental services year dental students younger age group older age group indiana university school xlink "> inequities demographic variables among based clinical rotations indiana </ p xlink "> identified among demographic characteristics d4 students via redcap underserved population study utilizes private practices multicultural ethnicities insurance status every patient descriptive statistics 72 ). 17 years &# 8221 &# 8220 |
| status_str | publishedVersion |
| title | 2019-2024 reg. |
| title_full | 2019-2024 reg. |
| title_fullStr | 2019-2024 reg. |
| title_full_unstemmed | 2019-2024 reg. |
| title_short | 2019-2024 reg. |
| title_sort | 2019-2024 reg. |
| topic | Biotechnology Evolutionary Biology Science Policy Virology Biological Sciences not elsewhere classified urban zip code preventive dental services year dental students younger age group older age group indiana university school xlink "> inequities demographic variables among based clinical rotations indiana </ p xlink "> identified among demographic characteristics d4 students via redcap underserved population study utilizes private practices multicultural ethnicities insurance status every patient descriptive statistics 72 ). 17 years &# 8221 &# 8220 |