Childhood routine immunization data in Enugu: Findings from a quality assessment survey

被引:0
|
作者
Ugwu, George O. [1 ,2 ]
Bisi-Onyemaechi, Adaobi I. [3 ]
Uche, Ezema G. [1 ]
Odii, Aloysius [4 ]
Nympha, Enebe O. [5 ]
Joy, Ugwu I. [6 ]
Charity, Onyishi [7 ]
Chinyere, Okeke C. [8 ]
Uzochukwu, B. S. C. [8 ]
Obinna, Onwujekwe E. [9 ,10 ]
机构
[1] Enugu State Primary Hlth Care Dev Agcy, Enugu, Niger
[2] Univ Nigeria, Dept Obstet & Gynaecol, Coll Med, Lagos, Nigeria
[3] Univ Nigeria, Dept Paediat, Lagos, Nigeria
[4] Univ Nigeria, Dept Sociol, Lagos, Nigeria
[5] Univ Nigeria, Dept Community Med, Teaching Hosp Ituku Ozalla, Lagos, Nigeria
[6] Univ Nigeria, Dept Psychol, Lagos, Nigeria
[7] Akanu Ibiam Fed Polytech, Dept Social Sci, Uwana, Nigeria
[8] Univ Nigeria, Dept Community Med, Coll Med, Lagos, Nigeria
[9] Univ Nigeria, Coll Med, Hlth Policy Res Grp, Lagos, Nigeria
[10] Univ Nigeria, Dept Hlth Policy & Econ, Enugu Campus, Lagos, Nigeria
关键词
Completeness; consistency; data quality; Enugu; timeliness; MIDDLE-INCOME COUNTRIES; INFORMATION;
D O I
10.4103/njcp.njcp_546_22
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Immunization data are critical for the effective delivery of immunization programs, health planning, and-decision-making. It can also help to identify gaps in vaccine coverage and service delivery. Immunization data quality is dependent on the quality of the collection process at individual health facilities and its transmission to an integrated system. Aim: This study set out to appraise the quality of childhood routine immunization data across the different levels of transmission in selected health facilities in Enugu, Nigeria. Materials and Methods: This was a cross-sectional, analytical study of the immunization data of two vaccine antigens in 103 health facilities across 10 local council areas offering routine immunization services in Enugu state. Accuracy, discrepancy consistency, completeness, and timeliness of the data for the year 2020, the study period, were determined using WHO data quality assessment tools. Results: This study noted that childhood routine immunization data from health facilities to the state are inconsistent, incomplete, and untimely in the transmission. Accuracy ratios were 110 and 108, discrepancy -10 and -8 for BCG and Penta III, respectively, at the health facility level. These signify the underreporting of the two vaccine antigens. This pattern was observed to be reversed as the data were transmitted from the local councils to DHIS 2. Timeliness of reporting did not go beyond 65% for the entire year 2020, while the completeness of reporting was below 80% for the same period. Conclusion: There were significant changes in childhood routine immunization data as it were transmitted across the different levels of the data management processes in the state. Routine immunization data from health facilities in the state are inconsistent, incomplete, and untimely in their transmission. This calls for interventions to improve data quality and make use of it in decision-making.
引用
收藏
页码:S12 / S18
页数:7
相关论文
共 50 条
  • [11] Data quality assessment of routine operating data for process identification
    Shardt, Yuri A. W.
    Huang, Biao
    COMPUTERS & CHEMICAL ENGINEERING, 2013, 55 : 19 - 27
  • [12] Assessment of immunization data management practices in Cameroon: unveiling potential barriers to immunization data quality
    Yauba Saidu
    Jessica Gu
    Budzi Michael Ngenge
    Sangwe Clovis Nchinjoh
    Amani Adidja
    Nadege Edwidge Nnang
    Nkwain Jude Muteh
    Vouking Marius Zambou
    Clarence Mbanga
    Valirie Ndip Agbor
    Diaby Ousmane
    Andreas Ateke Njoh
    Junie Flegere
    Demba Diack
    Owens Wiwa
    Emmanuele Montomoli
    Sue Ann Costa Clemens
    Ralf Clemens
    BMC Health Services Research, 23
  • [13] Quality assessment for Linked Data: A Survey
    Zaveri, Amrapali
    Rula, Anisa
    Maurino, Andrea
    Pietrobon, Ricardo
    Lehmann, Jens
    Auer, Soeren
    SEMANTIC WEB, 2016, 7 (01) : 63 - 93
  • [14] Linked Data Quality Assessment: A Survey
    Nayak, Aparna
    Bozic, Bojan
    Longo, Luca
    WEB SERVICES - ICWS 2021, 2022, 12994 : 63 - 76
  • [15] Effect of peer learning and support on quality of routine immunization data in Nasarawa State: A cluster randomized trial
    Sasetu, S. I.
    Addulkarim, D. I.
    Mbachu, C. O.
    Ezumah, N.
    Adeyemi, A.
    Ikpea, F. O.
    Adis, M. U.
    NIGERIAN JOURNAL OF CLINICAL PRACTICE, 2023, 26 : S122 - S127
  • [16] Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data
    Scholte, Marijn
    van Dulmen, Simone A.
    Neeleman-Van der Steen, Catherina W. M.
    van der Wees, Philip J.
    Nijhuis-van der Sanden, Maria W. G.
    Braspenning, Joze
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2016, 16 : 1 - 11
  • [17] Assessment of immunization data management practices, facilitators, and barriers to immunization data quality in the health facilities of Tach Gayint district, Northwest Ethiopia
    Kefiyalew, Biniam
    Abay, Solomon
    Mamo, Workineh
    Abate, Biruk
    Chanyalew, Moges A.
    Ayalew, Yejimawork
    Necho, Ambanesh
    Mekonnen, Zeleke Abebaw
    Teklu, Alemayehu
    Shahabuddid, Asm
    Tilahun, Binyam
    ETHIOPIAN JOURNAL OF HEALTH DEVELOPMENT, 2021, 35 (03) : 28 - 38
  • [18] A mixed-methods assessment of Routine Health Information System (RHIS) Data Quality and Factors Affecting it, Addis Ababa City Administration, Ethiopia, 2020
    Haftu, Biniyam
    Taye, Girma
    Ayele, Wondimu
    Habtamu, Tigist
    Biruk, Ephrem
    ETHIOPIAN JOURNAL OF HEALTH DEVELOPMENT, 2021, 35 : 15 - 24
  • [19] From Routine to Revolt: Improving Routine Health Data Quality and Relevance by Making Them Public
    Thanh Ngoc Nguyen
    Nielsen, Petter
    INFORMATION AND COMMUNICATION TECHNOLOGIES FOR DEVELOPMENT, 2017, 504 : 548 - 558
  • [20] Measuring the timeliness of childhood vaccinations: Using cohort data and routine health records to evaluate quality of immunisation services
    Walton, Suzanne
    Cortina-Borja, Mario
    Dezateux, Carol
    Griffiths, Lucy J.
    Tingay, Karen
    Akbari, Ashley
    Bandyopadhyay, Amrita
    Lyons, Ronan A.
    Bedford, Helen
    VACCINE, 2017, 35 (51) : 7166 - 7173