Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance

BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Nicholas Pyskir, MD [verfasserIn] Collin Sitler, DO [verfasserIn] Caela Miller, MD [verfasserIn] Christopher Yheulon, MD [verfasserIn] Gary Levy, MD [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	competitive fellowship match National Resident Match Program normalized competitive index specialty

Übergeordnetes Werk:	In: AJOG Global Reports - Elsevier, 2021, 2(2022), 4, Seite 100107-
Übergeordnetes Werk:	volume:2 ; year:2022 ; number:4 ; pages:100107-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.xagr.2022.100107

Katalog-ID:	DOAJ085276790

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520			\|a BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment.
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allfields	10.1016/j.xagr.2022.100107 doi (DE-627)DOAJ085276790 (DE-599)DOAJ75fc3e5dd2ed4f3cba62246153a5fa12 DE-627 ger DE-627 rakwb eng RG1-991 Nicholas Pyskir, MD verfasserin aut Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment. competitive fellowship match National Resident Match Program normalized competitive index specialty Gynecology and obstetrics Collin Sitler, DO verfasserin aut Caela Miller, MD verfasserin aut Christopher Yheulon, MD verfasserin aut Gary Levy, MD verfasserin aut In AJOG Global Reports Elsevier, 2021 2(2022), 4, Seite 100107- (DE-627)1757706127 26665778 nnns volume:2 year:2022 number:4 pages:100107- https://doi.org/10.1016/j.xagr.2022.100107 kostenfrei https://doaj.org/article/75fc3e5dd2ed4f3cba62246153a5fa12 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666577822000569 kostenfrei https://doaj.org/toc/2666-5778 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2022 4 100107-
spelling	10.1016/j.xagr.2022.100107 doi (DE-627)DOAJ085276790 (DE-599)DOAJ75fc3e5dd2ed4f3cba62246153a5fa12 DE-627 ger DE-627 rakwb eng RG1-991 Nicholas Pyskir, MD verfasserin aut Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment. competitive fellowship match National Resident Match Program normalized competitive index specialty Gynecology and obstetrics Collin Sitler, DO verfasserin aut Caela Miller, MD verfasserin aut Christopher Yheulon, MD verfasserin aut Gary Levy, MD verfasserin aut In AJOG Global Reports Elsevier, 2021 2(2022), 4, Seite 100107- (DE-627)1757706127 26665778 nnns volume:2 year:2022 number:4 pages:100107- https://doi.org/10.1016/j.xagr.2022.100107 kostenfrei https://doaj.org/article/75fc3e5dd2ed4f3cba62246153a5fa12 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666577822000569 kostenfrei https://doaj.org/toc/2666-5778 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2022 4 100107-
allfields_unstemmed	10.1016/j.xagr.2022.100107 doi (DE-627)DOAJ085276790 (DE-599)DOAJ75fc3e5dd2ed4f3cba62246153a5fa12 DE-627 ger DE-627 rakwb eng RG1-991 Nicholas Pyskir, MD verfasserin aut Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment. competitive fellowship match National Resident Match Program normalized competitive index specialty Gynecology and obstetrics Collin Sitler, DO verfasserin aut Caela Miller, MD verfasserin aut Christopher Yheulon, MD verfasserin aut Gary Levy, MD verfasserin aut In AJOG Global Reports Elsevier, 2021 2(2022), 4, Seite 100107- (DE-627)1757706127 26665778 nnns volume:2 year:2022 number:4 pages:100107- https://doi.org/10.1016/j.xagr.2022.100107 kostenfrei https://doaj.org/article/75fc3e5dd2ed4f3cba62246153a5fa12 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666577822000569 kostenfrei https://doaj.org/toc/2666-5778 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2022 4 100107-
allfieldsGer	10.1016/j.xagr.2022.100107 doi (DE-627)DOAJ085276790 (DE-599)DOAJ75fc3e5dd2ed4f3cba62246153a5fa12 DE-627 ger DE-627 rakwb eng RG1-991 Nicholas Pyskir, MD verfasserin aut Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment. competitive fellowship match National Resident Match Program normalized competitive index specialty Gynecology and obstetrics Collin Sitler, DO verfasserin aut Caela Miller, MD verfasserin aut Christopher Yheulon, MD verfasserin aut Gary Levy, MD verfasserin aut In AJOG Global Reports Elsevier, 2021 2(2022), 4, Seite 100107- (DE-627)1757706127 26665778 nnns volume:2 year:2022 number:4 pages:100107- https://doi.org/10.1016/j.xagr.2022.100107 kostenfrei https://doaj.org/article/75fc3e5dd2ed4f3cba62246153a5fa12 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666577822000569 kostenfrei https://doaj.org/toc/2666-5778 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2022 4 100107-
allfieldsSound	10.1016/j.xagr.2022.100107 doi (DE-627)DOAJ085276790 (DE-599)DOAJ75fc3e5dd2ed4f3cba62246153a5fa12 DE-627 ger DE-627 rakwb eng RG1-991 Nicholas Pyskir, MD verfasserin aut Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment. competitive fellowship match National Resident Match Program normalized competitive index specialty Gynecology and obstetrics Collin Sitler, DO verfasserin aut Caela Miller, MD verfasserin aut Christopher Yheulon, MD verfasserin aut Gary Levy, MD verfasserin aut In AJOG Global Reports Elsevier, 2021 2(2022), 4, Seite 100107- (DE-627)1757706127 26665778 nnns volume:2 year:2022 number:4 pages:100107- https://doi.org/10.1016/j.xagr.2022.100107 kostenfrei https://doaj.org/article/75fc3e5dd2ed4f3cba62246153a5fa12 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666577822000569 kostenfrei https://doaj.org/toc/2666-5778 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 2 2022 4 100107-
language	English
source	In AJOG Global Reports 2(2022), 4, Seite 100107- volume:2 year:2022 number:4 pages:100107-
sourceStr	In AJOG Global Reports 2(2022), 4, Seite 100107- volume:2 year:2022 number:4 pages:100107-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	competitive fellowship match National Resident Match Program normalized competitive index specialty Gynecology and obstetrics
isfreeaccess_bool	true
container_title	AJOG Global Reports
authorswithroles_txt_mv	Nicholas Pyskir, MD @@aut@@ Collin Sitler, DO @@aut@@ Caela Miller, MD @@aut@@ Christopher Yheulon, MD @@aut@@ Gary Levy, MD @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	1757706127
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Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. 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callnumber-first	R - Medicine
author	Nicholas Pyskir, MD
spellingShingle	Nicholas Pyskir, MD misc RG1-991 misc competitive misc fellowship misc match misc National Resident Match Program misc normalized competitive index misc specialty misc Gynecology and obstetrics Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance
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topic_title	RG1-991 Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance competitive fellowship match National Resident Match Program normalized competitive index specialty
topic	misc RG1-991 misc competitive misc fellowship misc match misc National Resident Match Program misc normalized competitive index misc specialty misc Gynecology and obstetrics
topic_unstemmed	misc RG1-991 misc competitive misc fellowship misc match misc National Resident Match Program misc normalized competitive index misc specialty misc Gynecology and obstetrics
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title	Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance
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title_full	Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance
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title_sort	analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexajog global reports at a glance
callnumber	RG1-991
title_auth	Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance
abstract	BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment.
abstractGer	BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment.
abstract_unstemmed	BACKGROUND: The objective and relative competitiveness of obstetrical and gynecologic subspecialty training programs remain understudied. Traditional metrics, such as match rate or program fill rate, fail to standardize the application environment. This limits their applicability when examining demographic trends or when comparing data between different fellowship matches. The normalized competitive index was introduced to serve as a comprehensive metric of competitiveness by incorporating disparate indicators and normalizing to enable more detailed analyses. OBJECTIVE: This study aimed to analyze trends in the competitiveness across obstetrical and gynecologic subspecialty fellowship matches during the last decade. STUDY DESIGN: The results and data reports from the National Resident Match Program fellowship for 2010 to 2019 were used to collect data on multiple metrics of competitiveness for 6 obstetrical and gynecologic subspecialties. These data were used to determine the normalized competitive index. Subanalyses were conducted to identify trends over the last decade. RESULTS: Among fellowship programs in obstetrics and gynecology, the overall specialty match rate was 67.6%. The overall specialty program fill rate was 95.7%. According to the normalized competitive index metric, minimally invasive gynecologic surgery was the most competitive fellowship match (normalized competitive index=1.31; P=.002). Maternal-fetal medicine was the least competitive (normalized competitive index=0.94; P≤.005). When comparing the first and second half of the decade, no specialty experienced a significant decrease in match rate. The only significant increase in match rates occurred for female pelvic medicine and reconstructive surgery (P=.035). Subanalyses of the normalized competitive index metric and other indicators of competitiveness demonstrated a strong negative correlation between the normalized competitive index and the subspecialty match rate (r=−0.9444) and a moderately positive correlation between the normalized competitive index and the program fill rate (r=0.4047). CONCLUSION: The normalized competitive index offers trainees a more quantitative understanding of the fellowship application environment. By incorporating multiple metrics and normalizing the result, it uniquely enables comparison between the subspecialty matches and the match process over time. The same standardization offers the potential for future comparisons of competitiveness within a single subspecialty match based on geographic region, applicant demographics, and other important determinants of a diverse and vibrant training environment.
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title_short	Analyzing trends in obstetrics and gynecology fellowship training over the last decade using the normalized competitive indexAJOG Global Reports at a Glance
url	https://doi.org/10.1016/j.xagr.2022.100107 https://doaj.org/article/75fc3e5dd2ed4f3cba62246153a5fa12 http://www.sciencedirect.com/science/article/pii/S2666577822000569 https://doaj.org/toc/2666-5778
remote_bool	true
author2	Collin Sitler, DO Caela Miller, MD Christopher Yheulon, MD Gary Levy, MD
author2Str	Collin Sitler, DO Caela Miller, MD Christopher Yheulon, MD Gary Levy, MD
ppnlink	1757706127
callnumber-subject	RG - Gynecology and Obstetrics
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.xagr.2022.100107
callnumber-a	RG1-991
up_date	2024-07-03T13:46:36.382Z
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