Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study

Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Un...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Mundra, Anuj [verfasserIn] Deshmukh, Pradeep R. Dawale, Ajay

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	DOTS Survival probability Treatment adherence Treatment outcomes

Anmerkung:	© Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017

Übergeordnetes Werk:	Enthalten in: Journal of epidemiology and global health - Amsterdam [u.a.] : Elsevier, 2011, 7(2017), 2 vom: Jan., Seite 111-118
Übergeordnetes Werk:	volume:7 ; year:2017 ; number:2 ; month:01 ; pages:111-118

Links:	Volltext

DOI / URN:	10.1016/j.jegh.2017.02.002

Katalog-ID:	SPR054272297

Internformat


LEADER	01000naa a22002652 4500
001	SPR054272297
003	DE-627
005	20240105064745.0
007	cr uuu---uuuuu
008	240105s2017 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.jegh.2017.02.002 \|2 doi
035			\|a (DE-627)SPR054272297
035			\|a (SPR)j.jegh.2017.02.002-e
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	1		\|a Mundra, Anuj \|e verfasserin \|4 aut
245	1	0	\|a Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study
264		1	\|c 2017
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
500			\|a © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017
520			\|a Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance.
650		4	\|a DOTS \|7 (dpeaa)DE-He213
650		4	\|a Survival probability \|7 (dpeaa)DE-He213
650		4	\|a Treatment adherence \|7 (dpeaa)DE-He213
650		4	\|a Treatment outcomes \|7 (dpeaa)DE-He213
700	1		\|a Deshmukh, Pradeep R. \|4 aut
700	1		\|a Dawale, Ajay \|4 aut
773	0	8	\|i Enthalten in \|t Journal of epidemiology and global health \|d Amsterdam [u.a.] : Elsevier, 2011 \|g 7(2017), 2 vom: Jan., Seite 111-118 \|w (DE-627)683365576 \|w (DE-600)2645324-1 \|x 2210-6014 \|7 nnns
773	1	8	\|g volume:7 \|g year:2017 \|g number:2 \|g month:01 \|g pages:111-118
856	4	0	\|u https://dx.doi.org/10.1016/j.jegh.2017.02.002 \|z kostenfrei \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_SPRINGER
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_138
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_187
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_647
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 7 \|j 2017 \|e 2 \|c 01 \|h 111-118

Indexfelder

author_variant	a m am p r d pr prd a d ad
matchkey_str	article:22106014:2017----::antdadeemnnsfdestetetucmsmntbruoiptetrgseeudreientoatbruoicnrlrgaiauec
hierarchy_sort_str	2017
publishDate	2017
allfields	10.1016/j.jegh.2017.02.002 doi (DE-627)SPR054272297 (SPR)j.jegh.2017.02.002-e DE-627 ger DE-627 rakwb eng Mundra, Anuj verfasserin aut Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017 Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. DOTS (dpeaa)DE-He213 Survival probability (dpeaa)DE-He213 Treatment adherence (dpeaa)DE-He213 Treatment outcomes (dpeaa)DE-He213 Deshmukh, Pradeep R. aut Dawale, Ajay aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 7(2017), 2 vom: Jan., Seite 111-118 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:7 year:2017 number:2 month:01 pages:111-118 https://dx.doi.org/10.1016/j.jegh.2017.02.002 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 01 111-118
spelling	10.1016/j.jegh.2017.02.002 doi (DE-627)SPR054272297 (SPR)j.jegh.2017.02.002-e DE-627 ger DE-627 rakwb eng Mundra, Anuj verfasserin aut Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017 Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. DOTS (dpeaa)DE-He213 Survival probability (dpeaa)DE-He213 Treatment adherence (dpeaa)DE-He213 Treatment outcomes (dpeaa)DE-He213 Deshmukh, Pradeep R. aut Dawale, Ajay aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 7(2017), 2 vom: Jan., Seite 111-118 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:7 year:2017 number:2 month:01 pages:111-118 https://dx.doi.org/10.1016/j.jegh.2017.02.002 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 01 111-118
allfields_unstemmed	10.1016/j.jegh.2017.02.002 doi (DE-627)SPR054272297 (SPR)j.jegh.2017.02.002-e DE-627 ger DE-627 rakwb eng Mundra, Anuj verfasserin aut Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017 Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. DOTS (dpeaa)DE-He213 Survival probability (dpeaa)DE-He213 Treatment adherence (dpeaa)DE-He213 Treatment outcomes (dpeaa)DE-He213 Deshmukh, Pradeep R. aut Dawale, Ajay aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 7(2017), 2 vom: Jan., Seite 111-118 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:7 year:2017 number:2 month:01 pages:111-118 https://dx.doi.org/10.1016/j.jegh.2017.02.002 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 01 111-118
allfieldsGer	10.1016/j.jegh.2017.02.002 doi (DE-627)SPR054272297 (SPR)j.jegh.2017.02.002-e DE-627 ger DE-627 rakwb eng Mundra, Anuj verfasserin aut Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017 Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. DOTS (dpeaa)DE-He213 Survival probability (dpeaa)DE-He213 Treatment adherence (dpeaa)DE-He213 Treatment outcomes (dpeaa)DE-He213 Deshmukh, Pradeep R. aut Dawale, Ajay aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 7(2017), 2 vom: Jan., Seite 111-118 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:7 year:2017 number:2 month:01 pages:111-118 https://dx.doi.org/10.1016/j.jegh.2017.02.002 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 01 111-118
allfieldsSound	10.1016/j.jegh.2017.02.002 doi (DE-627)SPR054272297 (SPR)j.jegh.2017.02.002-e DE-627 ger DE-627 rakwb eng Mundra, Anuj verfasserin aut Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017 Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. DOTS (dpeaa)DE-He213 Survival probability (dpeaa)DE-He213 Treatment adherence (dpeaa)DE-He213 Treatment outcomes (dpeaa)DE-He213 Deshmukh, Pradeep R. aut Dawale, Ajay aut Enthalten in Journal of epidemiology and global health Amsterdam [u.a.] : Elsevier, 2011 7(2017), 2 vom: Jan., Seite 111-118 (DE-627)683365576 (DE-600)2645324-1 2210-6014 nnns volume:7 year:2017 number:2 month:01 pages:111-118 https://dx.doi.org/10.1016/j.jegh.2017.02.002 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2017 2 01 111-118
language	English
source	Enthalten in Journal of epidemiology and global health 7(2017), 2 vom: Jan., Seite 111-118 volume:7 year:2017 number:2 month:01 pages:111-118
sourceStr	Enthalten in Journal of epidemiology and global health 7(2017), 2 vom: Jan., Seite 111-118 volume:7 year:2017 number:2 month:01 pages:111-118
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	DOTS Survival probability Treatment adherence Treatment outcomes
isfreeaccess_bool	true
container_title	Journal of epidemiology and global health
authorswithroles_txt_mv	Mundra, Anuj @@aut@@ Deshmukh, Pradeep R. @@aut@@ Dawale, Ajay @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	683365576
id	SPR054272297
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR054272297</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240105064745.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240105s2017 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jegh.2017.02.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR054272297</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)j.jegh.2017.02.002-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mundra, Anuj</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">DOTS</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Survival probability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Treatment adherence</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Treatment outcomes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Deshmukh, Pradeep R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dawale, Ajay</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of epidemiology and global health</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier, 2011</subfield><subfield code="g">7(2017), 2 vom: Jan., Seite 111-118</subfield><subfield code="w">(DE-627)683365576</subfield><subfield code="w">(DE-600)2645324-1</subfield><subfield code="x">2210-6014</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:2</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:111-118</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1016/j.jegh.2017.02.002</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_647</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2017</subfield><subfield code="e">2</subfield><subfield code="c">01</subfield><subfield code="h">111-118</subfield></datafield></record></collection>
author	Mundra, Anuj
spellingShingle	Mundra, Anuj misc DOTS misc Survival probability misc Treatment adherence misc Treatment outcomes Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study
authorStr	Mundra, Anuj
ppnlink_with_tag_str_mv	@@773@@(DE-627)683365576
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut
collection	springer
remote_str	true
illustrated	Not Illustrated
issn	2210-6014
topic_title	Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study DOTS (dpeaa)DE-He213 Survival probability (dpeaa)DE-He213 Treatment adherence (dpeaa)DE-He213 Treatment outcomes (dpeaa)DE-He213
topic	misc DOTS misc Survival probability misc Treatment adherence misc Treatment outcomes
topic_unstemmed	misc DOTS misc Survival probability misc Treatment adherence misc Treatment outcomes
topic_browse	misc DOTS misc Survival probability misc Treatment adherence misc Treatment outcomes
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Journal of epidemiology and global health
hierarchy_parent_id	683365576
hierarchy_top_title	Journal of epidemiology and global health
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)683365576 (DE-600)2645324-1
title	Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study
ctrlnum	(DE-627)SPR054272297 (SPR)j.jegh.2017.02.002-e
title_full	Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study
author_sort	Mundra, Anuj
journal	Journal of epidemiology and global health
journalStr	Journal of epidemiology and global health
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2017
contenttype_str_mv	txt
container_start_page	111
author_browse	Mundra, Anuj Deshmukh, Pradeep R. Dawale, Ajay
container_volume	7
format_se	Elektronische Aufsätze
author-letter	Mundra, Anuj
doi_str_mv	10.1016/j.jegh.2017.02.002
title_sort	magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under revised national tuberculosis control program in a tuberculosis unit, wardha, central india: a record-based cohort study
title_auth	Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study
abstract	Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017
abstractGer	Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017
abstract_unstemmed	Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance. © Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	2
title_short	Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study
url	https://dx.doi.org/10.1016/j.jegh.2017.02.002
remote_bool	true
author2	Deshmukh, Pradeep R. Dawale, Ajay
author2Str	Deshmukh, Pradeep R. Dawale, Ajay
ppnlink	683365576
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.jegh.2017.02.002
up_date	2024-07-04T00:48:43.516Z
_version_	1803607472622010368
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR054272297</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240105064745.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240105s2017 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jegh.2017.02.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR054272297</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)j.jegh.2017.02.002-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mundra, Anuj</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Introduction Deaths, defaults, relapses, and treatment failures have made the control of TB difficult across the globe. Methodology This study is a record-based follow-up of a cohort of patients registered under Revised National Tuberculosis Control Program in the year 2014 in Wardha Tuberculosis Unit, India. Data was collected from the records available at the District Tuberculosis Office. Results Data of 510 patients was analyzed. The sputum conversion rate was 88%. The overall treatment success rate was 81.9%, and rates of any adverse outcome, deaths, defaults, failure, and shift to Category IV regimen were 32.60/100 person years at risk (PYAR), 16.88/100 PYAR, 11.12/100 PYAR, 3.45/100 PYAR, and 1.15/100 PYAR, respectively. The median times for the above outcomes were 81 days, 110 days, 66 days, 118 days, and 237 days, respectively. The cumulative probability of occurrence at 6 months of any adverse outcome, deaths, default, failure, and shift to Category IV regimen was 0.145, 0.056, 0.088, 0.002, and 0.004, respectively. On multivariate analysis, the determinant of any adverse outcome was age >45 years, whereas extrapulmonary disease was protective. The hazard of defaulting was also significantly higher in male patients and those aged >45 years. Conclusion Appropriate interventions and program implementation to reduce the adverse treatment outcomes and interruptions will help in improving program performance.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">DOTS</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Survival probability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Treatment adherence</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Treatment outcomes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Deshmukh, Pradeep R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dawale, Ajay</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of epidemiology and global health</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier, 2011</subfield><subfield code="g">7(2017), 2 vom: Jan., Seite 111-118</subfield><subfield code="w">(DE-627)683365576</subfield><subfield code="w">(DE-600)2645324-1</subfield><subfield code="x">2210-6014</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:7</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:2</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:111-118</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1016/j.jegh.2017.02.002</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_647</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">7</subfield><subfield code="j">2017</subfield><subfield code="e">2</subfield><subfield code="c">01</subfield><subfield code="h">111-118</subfield></datafield></record></collection>
score	7.3989973

Nicht das Richtige dabei?

Schreiben Sie uns!

Magnitude and determinants of adverse treatment outcomes among tuberculosis patients registered under Revised National Tuberculosis Control Program in a Tuberculosis Unit, Wardha, Central India: A record-based cohort study

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?