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Morbidity profile of children from birth to 18 years of age referred for intervention to the district early intervention centre in a District Hospital, Andhra Pradesh
Background: The "Child Health Screening and Early Intervention Services" program aims at early detection and management of the four dimensions prevalent in children-defects at birth, diseases in children, deficiency conditions, and developmental delays, including disabilities. Objective: T...
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Published in: | Indian journal of public health 2020-01, Vol.64 (1), p.55-59 |
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description | Background: The "Child Health Screening and Early Intervention Services" program aims at early detection and management of the four dimensions prevalent in children-defects at birth, diseases in children, deficiency conditions, and developmental delays, including disabilities. Objective: The objective of the study was to assess the morbidity profile of children from birth to 18 years of age screened in the district early intervention center (DEIC). Methods: A record-based descriptive study was done in the DEIC in Chittoor, Andhra Pradesh. The data were retrieved for 1-year from April 2017 to March 2018 into the excel sheet, and the combined master sheet was prepared for analysis. The analysis was done with SPSS 21.0 Version. Results: A total of 10571 children were screened and referred to the DEIC during the period. Out of them, 5679 (53.7%) were male and 4892 (46.3%) were female. Among all the four types of morbidities screened, majority 4847 (45.9%) were having the childhood diseases, 4177 (39.5%) had developmental delays including disabilities, 1067 (10.1%) had different deficiencies, and 361 (3.4%) had birth defects. Among the adolescent health issues, 119 (1.1%) were screened and sent for the early intervention to the district hospital. Conclusions: A huge number of children were screened and referred to the DEIC every year for intervention. The health sector has to focus more on the resources like workforce, training of peripheral health workers at regular intervals about the different morbidities screened, that would help in identifying the morbidities at the earliest possible time and receive the intervention at the best center. |
doi_str_mv | 10.4103/ijph.IJPH_11_19 |
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Objective: The objective of the study was to assess the morbidity profile of children from birth to 18 years of age screened in the district early intervention center (DEIC). Methods: A record-based descriptive study was done in the DEIC in Chittoor, Andhra Pradesh. The data were retrieved for 1-year from April 2017 to March 2018 into the excel sheet, and the combined master sheet was prepared for analysis. The analysis was done with SPSS 21.0 Version. Results: A total of 10571 children were screened and referred to the DEIC during the period. Out of them, 5679 (53.7%) were male and 4892 (46.3%) were female. Among all the four types of morbidities screened, majority 4847 (45.9%) were having the childhood diseases, 4177 (39.5%) had developmental delays including disabilities, 1067 (10.1%) had different deficiencies, and 361 (3.4%) had birth defects. Among the adolescent health issues, 119 (1.1%) were screened and sent for the early intervention to the district hospital. Conclusions: A huge number of children were screened and referred to the DEIC every year for intervention. The health sector has to focus more on the resources like workforce, training of peripheral health workers at regular intervals about the different morbidities screened, that would help in identifying the morbidities at the earliest possible time and receive the intervention at the best center.</description><identifier>ISSN: 0019-557X</identifier><identifier>EISSN: 2229-7693</identifier><identifier>DOI: 10.4103/ijph.IJPH_11_19</identifier><identifier>PMID: 32189684</identifier><language>eng</language><publisher>India: Wolters Kluwer India Pvt. Ltd</publisher><subject><![CDATA[Adolescent ; Adolescent Health - statistics & numerical data ; Age ; Anemia ; Birth defects ; Child ; Child health ; Child Health - statistics & numerical data ; Child, Preschool ; childhood diseases ; Children ; Children & youth ; Childrens health ; Congenital Abnormalities - epidemiology ; Congenital diseases ; deficiencies ; Deficiency Diseases - epidemiology ; developmental delays ; Developmental Disabilities - epidemiology ; Disabilities ; Disability ; district early intervention center ; Early intervention ; Early Medical Intervention - statistics & numerical data ; Female ; Health screening ; Hospitals ; Hospitals, District - statistics & numerical data ; Humans ; India - epidemiology ; Infant ; Intervention ; Male ; Males ; Medical screening ; Morbidity ; Pediatric diseases ; Population ; Prevalence ; Quality of life ; Referral and Consultation - statistics & numerical data ; Risk Factors ; Studies]]></subject><ispartof>Indian journal of public health, 2020-01, Vol.64 (1), p.55-59</ispartof><rights>COPYRIGHT 2020 Medknow Publications and Media Pvt. Ltd.</rights><rights>2020. This article is published under (http://creativecommons.org/licenses/by-nc-sa/3.0/) (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright Medknow Publications & Media Pvt. Ltd. Jan-Mar 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32189684$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Darivemula, Surendra</creatorcontrib><creatorcontrib>Nagoor, Khadervali</creatorcontrib><creatorcontrib>John, K</creatorcontrib><creatorcontrib>Kahn, P</creatorcontrib><creatorcontrib>Chittooru, Chandra</creatorcontrib><title>Morbidity profile of children from birth to 18 years of age referred for intervention to the district early intervention centre in a District Hospital, Andhra Pradesh</title><title>Indian journal of public health</title><addtitle>Indian J Public Health</addtitle><description>Background: The "Child Health Screening and Early Intervention Services" program aims at early detection and management of the four dimensions prevalent in children-defects at birth, diseases in children, deficiency conditions, and developmental delays, including disabilities. Objective: The objective of the study was to assess the morbidity profile of children from birth to 18 years of age screened in the district early intervention center (DEIC). Methods: A record-based descriptive study was done in the DEIC in Chittoor, Andhra Pradesh. The data were retrieved for 1-year from April 2017 to March 2018 into the excel sheet, and the combined master sheet was prepared for analysis. The analysis was done with SPSS 21.0 Version. Results: A total of 10571 children were screened and referred to the DEIC during the period. Out of them, 5679 (53.7%) were male and 4892 (46.3%) were female. Among all the four types of morbidities screened, majority 4847 (45.9%) were having the childhood diseases, 4177 (39.5%) had developmental delays including disabilities, 1067 (10.1%) had different deficiencies, and 361 (3.4%) had birth defects. Among the adolescent health issues, 119 (1.1%) were screened and sent for the early intervention to the district hospital. Conclusions: A huge number of children were screened and referred to the DEIC every year for intervention. The health sector has to focus more on the resources like workforce, training of peripheral health workers at regular intervals about the different morbidities screened, that would help in identifying the morbidities at the earliest possible time and receive the intervention at the best center.</description><subject>Adolescent</subject><subject>Adolescent Health - statistics & numerical data</subject><subject>Age</subject><subject>Anemia</subject><subject>Birth defects</subject><subject>Child</subject><subject>Child health</subject><subject>Child Health - statistics & numerical data</subject><subject>Child, Preschool</subject><subject>childhood diseases</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Congenital Abnormalities - epidemiology</subject><subject>Congenital diseases</subject><subject>deficiencies</subject><subject>Deficiency Diseases - epidemiology</subject><subject>developmental delays</subject><subject>Developmental Disabilities - epidemiology</subject><subject>Disabilities</subject><subject>Disability</subject><subject>district early intervention center</subject><subject>Early intervention</subject><subject>Early Medical Intervention - statistics & numerical data</subject><subject>Female</subject><subject>Health screening</subject><subject>Hospitals</subject><subject>Hospitals, District - statistics & numerical data</subject><subject>Humans</subject><subject>India - epidemiology</subject><subject>Infant</subject><subject>Intervention</subject><subject>Male</subject><subject>Males</subject><subject>Medical screening</subject><subject>Morbidity</subject><subject>Pediatric diseases</subject><subject>Population</subject><subject>Prevalence</subject><subject>Quality of life</subject><subject>Referral and Consultation - statistics & numerical data</subject><subject>Risk Factors</subject><subject>Studies</subject><issn>0019-557X</issn><issn>2229-7693</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp90stu1DAUBuAIgWhVumaHLCEhFszU98Q7qnKZoiK6AImd5cTHjaeZeLA9VPNCPCcO0wtFQLKwZH3nOD75q-opwXNOMDvyy3U_P_1wvtCEaKIeVPuUUjWrpWIPq32MiZoJUX_dqw5TWuLyMEYIFo-rPUZJo2TD96sfH0NsvfV5i9YxOD8ACg51vR9shBG5GFao9TH3KAdEGrQFE9NEzAWgCA5iBItciMiPGeJ3GLMP44RzD8j6lKPvMipVw_Y-6coaoewhg97cuEVIa5_N8Aodj7aPBp1HYyH1T6pHzgwJDq_Xg-rLu7efTxazs0_vT0-Oz2adkCrPBG65ECA7KS2wrnFlIIQ0NbSgGG8ptdw1VKpOFqSoIq4jwJmrmW15U1N2UJ3u-tpglnod_crErQ7G618bIV5oE7PvBtAYJGetcQzbmhtHG4lbzBpFTQuuJq70ernrVQb7bQMp65VPHQyDGSFskqasVpiwWtaFPv-DLsMmjuWmmoq6oZgr9n_FGiykFJzcqQtTvtKPLuRouulofSw5VnXNBS9q_hdVXgsr34URpijcL3jxW0EPZsh9CsNm-pfpPjzawS6GlEpEbsdIsJ5yq6fc6rvclopn1_fatCuwt_4mpQW83oGrMJQEpcthcwVRF3s5hqt_9dVC6Jt0s58uPv58</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Darivemula, Surendra</creator><creator>Nagoor, Khadervali</creator><creator>John, K</creator><creator>Kahn, P</creator><creator>Chittooru, Chandra</creator><general>Wolters Kluwer India Pvt. 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statistics & numerical data</topic><topic>Age</topic><topic>Anemia</topic><topic>Birth defects</topic><topic>Child</topic><topic>Child health</topic><topic>Child Health - statistics & numerical data</topic><topic>Child, Preschool</topic><topic>childhood diseases</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Congenital Abnormalities - epidemiology</topic><topic>Congenital diseases</topic><topic>deficiencies</topic><topic>Deficiency Diseases - epidemiology</topic><topic>developmental delays</topic><topic>Developmental Disabilities - epidemiology</topic><topic>Disabilities</topic><topic>Disability</topic><topic>district early intervention center</topic><topic>Early intervention</topic><topic>Early Medical Intervention - statistics & numerical data</topic><topic>Female</topic><topic>Health screening</topic><topic>Hospitals</topic><topic>Hospitals, District - statistics & numerical data</topic><topic>Humans</topic><topic>India - epidemiology</topic><topic>Infant</topic><topic>Intervention</topic><topic>Male</topic><topic>Males</topic><topic>Medical screening</topic><topic>Morbidity</topic><topic>Pediatric diseases</topic><topic>Population</topic><topic>Prevalence</topic><topic>Quality of life</topic><topic>Referral and Consultation - statistics & numerical data</topic><topic>Risk Factors</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Darivemula, Surendra</creatorcontrib><creatorcontrib>Nagoor, Khadervali</creatorcontrib><creatorcontrib>John, K</creatorcontrib><creatorcontrib>Kahn, P</creatorcontrib><creatorcontrib>Chittooru, Chandra</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Illustrata: Technology</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Illustrata: Natural Sciences</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Illustrata: Technology Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>MEDLINE - Academic</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>Indian journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Darivemula, Surendra</au><au>Nagoor, Khadervali</au><au>John, K</au><au>Kahn, P</au><au>Chittooru, Chandra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Morbidity profile of children from birth to 18 years of age referred for intervention to the district early intervention centre in a District Hospital, Andhra Pradesh</atitle><jtitle>Indian journal of public health</jtitle><addtitle>Indian J Public Health</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>64</volume><issue>1</issue><spage>55</spage><epage>59</epage><pages>55-59</pages><issn>0019-557X</issn><eissn>2229-7693</eissn><abstract>Background: The "Child Health Screening and Early Intervention Services" program aims at early detection and management of the four dimensions prevalent in children-defects at birth, diseases in children, deficiency conditions, and developmental delays, including disabilities. Objective: The objective of the study was to assess the morbidity profile of children from birth to 18 years of age screened in the district early intervention center (DEIC). Methods: A record-based descriptive study was done in the DEIC in Chittoor, Andhra Pradesh. The data were retrieved for 1-year from April 2017 to March 2018 into the excel sheet, and the combined master sheet was prepared for analysis. The analysis was done with SPSS 21.0 Version. Results: A total of 10571 children were screened and referred to the DEIC during the period. Out of them, 5679 (53.7%) were male and 4892 (46.3%) were female. Among all the four types of morbidities screened, majority 4847 (45.9%) were having the childhood diseases, 4177 (39.5%) had developmental delays including disabilities, 1067 (10.1%) had different deficiencies, and 361 (3.4%) had birth defects. Among the adolescent health issues, 119 (1.1%) were screened and sent for the early intervention to the district hospital. Conclusions: A huge number of children were screened and referred to the DEIC every year for intervention. The health sector has to focus more on the resources like workforce, training of peripheral health workers at regular intervals about the different morbidities screened, that would help in identifying the morbidities at the earliest possible time and receive the intervention at the best center.</abstract><cop>India</cop><pub>Wolters Kluwer India Pvt. Ltd</pub><pmid>32189684</pmid><doi>10.4103/ijph.IJPH_11_19</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adolescent Health - statistics & numerical data Age Anemia Birth defects Child Child health Child Health - statistics & numerical data Child, Preschool childhood diseases Children Children & youth Childrens health Congenital Abnormalities - epidemiology Congenital diseases deficiencies Deficiency Diseases - epidemiology developmental delays Developmental Disabilities - epidemiology Disabilities Disability district early intervention center Early intervention Early Medical Intervention - statistics & numerical data Female Health screening Hospitals Hospitals, District - statistics & numerical data Humans India - epidemiology Infant Intervention Male Males Medical screening Morbidity Pediatric diseases Population Prevalence Quality of life Referral and Consultation - statistics & numerical data Risk Factors Studies |
title | Morbidity profile of children from birth to 18 years of age referred for intervention to the district early intervention centre in a District Hospital, Andhra Pradesh |
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