Assessment of Immunization data quality of routine reports in Ho Municipality of Volta Region, Ghana

Vaccine Dose ◽

Health Facilities ◽

Routine Immunization ◽

World Health ◽

Health Staff ◽

Quality Of Data ◽

Abstract Background: Immunization has been an important public health intervention for preventing and reducing child morbidity and mortality over the years and coverage has increased in the past decades. However, the validity of the data from immunization coverages is usually disputed. Immunization data from health facilities show poor concordance between tallied registers and monthly reports as they are reported to higher levels of the health system. The study assessed the quality of data from routine immunization of some health facilities in the Ho central municipality in the Volta region of Ghana.Methods: A descriptive cross-sectional study was used to review routine immunization data in tallied registers and reports submitted to the Municipal Health Directorate (MHD) from January to December, 2015. Simple random sampling was used to select three health facilities in Ho central municipality. The World Health Organization (WHO) Data Quality Self-assessment (DQS) tool was the main instrument used to present and analyze data for accuracy and discrepancy level between the tallied registers and reports. A template was created in Microsoft excel which automatically presented accuracy and discrepancy levels when data was entered. Ethical approval for the study was obtained from Ghana Health Service Ethics Review Committee. Results: The result showed discrepancies between recounted tallies at the facilities and reports submitted to the MHD. Accuracy ratios of 102%, 64% and 94% for Bacillus Calmette Guerin (BCG), Pentavalent (Penta) vaccine dose 3 and Measles 2 respectively indicating underreporting for BCG and over reporting for the rest were obtained. There was 460 over reported data to the municipal level representing accuracy ratio of 80% and discrepancy level of 20%. Conclusions: Immunization data was characterized by underreporting and overreporting, hence not accurate and lacked quality. Immunization data quality should be a priority among health staff at health facilities.

Assessment of Immunization data quality of routine reports in Ho Municipality of Volta Region, Ghana

10.21203/rs.3.rs-39700/v3 ◽

2020 ◽

Author(s):

Livingstone Asem ◽

Sorengmen Amos Ziema

Keyword(s):

Data Quality ◽

Vaccine Dose ◽

Health Facilities ◽

Routine Immunization ◽

World Health ◽

Health Staff ◽

Quality Of Data ◽

Assessment of immunization data quality of routine reports in Ho municipality of Volta region, Ghana

BMC Health Services Research ◽

10.1186/s12913-020-05865-4 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Sorengmen Amos Ziema ◽

Livingstone Asem

Keyword(s):

Data Quality ◽

Vaccine Dose ◽

Health Facilities ◽

Routine Immunization ◽

World Health ◽

Health Staff ◽

Quality Of Data ◽

Abstract Background Immunization has been an important public health intervention for preventing and reducing child morbidity and mortality over the years and coverage has increased in the past decades. However, the validity of the data from immunization coverages is usually disputed. Immunization data from health facilities show poor concordance between tallied registers and monthly reports as they are reported to higher levels of the health system. The study assessed the quality of data from routine immunization of some health facilities in the Ho central municipality in the Volta region of Ghana. Methods A descriptive cross-sectional study was used to review routine immunization data in tallied registers and reports submitted to the Municipal Health Directorate (MHD) from January to December, 2015. Simple random sampling was used to select three health facilities in Ho central municipality. The World Health Organization (WHO) Data Quality Self-assessment (DQS) tool was the main instrument used to present and analyze data for accuracy and discrepancy level between the tallied registers and reports. A template was created in Microsoft excel which automatically presented accuracy and discrepancy levels when data was entered. Ethical approval for the study was obtained from Ghana Health Service Ethics Review Committee. Results The result showed discrepancies between recounted tallies at the facilities and reports submitted to the MHD. Accuracy ratios of 102, 64 and 94% for Bacillus Calmette Guerin (BCG), Pentavalent (Penta) vaccine dose 3 and Measles 2 respectively indicating underreporting for BCG and over reporting for the rest were obtained. There was 460 over reported data to the municipal level representing accuracy ratio of 80% and discrepancy level of 20%. Conclusions Immunization data was characterized by underreporting and overreporting, hence not accurate and lacked quality. Immunization data quality should be a priority among health staff at health facilities.

Assessment of Immunization Data Quality of Routine Reports in Ho Municipality of Volta Region, Ghana

10.21203/rs.3.rs-39700/v1 ◽

2020 ◽

Author(s):

Livingstone Asem ◽

Sorengmen Amos Ziema

Keyword(s):

Data Quality ◽

Assessment Tool ◽

Vaccine Dose ◽

Health Facilities ◽

Routine Immunization ◽

Health Staff ◽

Quality Of Data ◽

Abstract Background: Immunization has been an important public health intervention for preventing and reducing child morbidity and mortality over the years and coverage has increased in the past decades. However, the validity of the data from immunization coverages is usually disputed. Immunization data from health facilities show poor concordance between tallied registers and monthly reports as they are reported to higher levels of the health system. The study assessed the quality of data from routine immunization of some health facilities in the Ho central municipality in the Volta region of Ghana.Methods: A descriptive cross-sectional study was used to review routine immunization data in tallied registers and reports submitted to the Municipal Health Directorate (MHD) from January to December, 2015. Simple random sampling was used to select three health facilities in Ho central municipality. The Data Quality Self-assessment tool (DQS) was the main instrument used to present and analyze data for accuracy and discrepancy level between the tallied registers and reports. A template was created in Microsoft excel which automatically presented accuracy and discrepancy levels when data was entered. Ethical approval for the study was obtained from Ghana Health Service Ethics Review Committee. Results: The result showed discrepancies between recounted tallies at the facilities and reports submitted to the MHD. Accuracy ratios of 102%, 64% and 94% for Bacillus Calmette Guerin (BCG), Pentavalent (Penta) vaccine dose 3 and Measles 2 respectively indicating underreporting for BCG and over reporting for the rest were obtained. There was 460 over reported data to the municipal level representing accuracy ratio of 80% and discrepancy level of 20%. Conclusions: Immunization data was characterized by underreporting and overreporting, hence not accurate and lacked quality. Immunization data quality should be a priority among health staff at health facilities.

Availability and quality of routine morbidity data: review of studies in South Africa

Journal of the American Medical Informatics Association ◽

10.1093/jamia/ocw075 ◽

2016 ◽

Vol 24 (e1) ◽

pp. e194-e206 ◽

Cited By ~ 2

Author(s):

Rifqah A Roomaney ◽

Victoria Pillay-van Wyk ◽

Oluwatoyin F Awotiwon ◽

Edward Nicol ◽

Jané D Joubert ◽

...

Keyword(s):

South Africa ◽

Data Quality ◽

Burden Of Disease ◽

Comprehensive Evaluation ◽

World Health ◽

Quality Of Data ◽

Patient Morbidity ◽

Morbidity Data ◽

Health Organization

Objectives: Routine health information systems (RHISs) provide data that are vital for planning and monitoring individual health. Data from RHISs could also be used for purposes for which they were not originally intended, provided that the data are of sufficient quality. For example, morbidity data could be used to inform burden of disease estimations, which serve as important evidence to prioritize interventions and promote health. The objective of this study was to identify and assess published quantitative assessments of data quality related to patient morbidity in RHISs in use in South Africa. Materials and Methods: We conducted a review of literature published between 1994 and 2014 that assessed the quality of data in RHISs in South Africa. World Health Organization (WHO) data quality components were used as the assessment criteria. Results Of 420 references identified, 11 studies met the inclusion criteria. The studies were limited to tuberculosis and HIV. No study reported more than 3 WHO data quality components or provided a quantitative assessment of quality that could be used for burden of disease estimation. Discussion: The included studies had limited geographical focus and evaluated different source data at different levels of the information system. All studies reported poor data quality. Conclusion: This review confirmed concerns about the quality of data in RHISs, and highlighted the need for a comprehensive evaluation of the quality of patient-level morbidity data in RHISs in South Africa.

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

International Journal of New Media Technology ◽

10.31937/ijnmt.v4i1.534 ◽

2017 ◽

Vol 4 (1) ◽

pp. 25-31 ◽

Cited By ~ 1

Author(s):

Diana Effendi

Keyword(s):

Data Quality ◽

Data Management ◽

Information Management ◽

Information Quality ◽

Quality Data ◽

Management Approach ◽

Quality Of Data ◽

Information Product ◽

Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management. Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

Response Behavior and Quality of Survey Data: Comparing Elderly Respondents in Institutions and Private Households

Sociological Methods & Research ◽

10.1177/0049124121995534 ◽

2021 ◽

pp. 004912412199553

Author(s):

Jan-Lucas Schanze

Keyword(s):

Data Quality ◽

The Elderly ◽

Response Behavior ◽

Quality Of Data ◽

Social Surveys ◽

Private Households ◽

Confounding Variables ◽

Health Related ◽

Survey Interviews

An increasing age of respondents and cognitive impairment are usual suspects for increasing difficulties in survey interviews and a decreasing data quality. This is why survey researchers tend to label residents in retirement and nursing homes as hard-to-interview and exclude them from most social surveys. In this article, I examine to what extent this label is justified and whether quality of data collected among residents in institutions for the elderly really differs from data collected within private households. For this purpose, I analyze the response behavior and quality indicators in three waves of Survey of Health, Ageing and Retirement in Europe. To control for confounding variables, I use propensity score matching to identify respondents in private households who share similar characteristics with institutionalized residents. My results confirm that most indicators of response behavior and data quality are worse in institutions compared to private households. However, when controlling for sociodemographic and health-related variables, differences get very small. These results suggest the importance of health for the data quality irrespective of the housing situation.

Quality of Antenatal, Labour and Delivery Services in Selected Districts in Malawi, Zambia and Zimbabwe: A Descriptive Cross-Sectional Study

10.52916/jogs214011 ◽

2021 ◽

pp. 1-9

Author(s):

Clara Opha Haruzivishe

Keyword(s):

Perinatal Care ◽

Neonatal Morbidity ◽

Health Facilities ◽

Sub Saharan Africa ◽

Morbidity And Mortality ◽

World Health ◽

Performance Standard ◽

Cross Sectional ◽

Care Services

Background: High Maternal and Neonatal Mortality Ratios persist in Sub-Saharan Africa despite increasing perinatal care coverage. This suggests that coverage alone is not adequate to reduce maternal and neonatal morbidity and mortality. Quality of care should be the emphasis of maternal and child care services. Materials and Methods: A descriptive cross-sectional multicentre study was conducted in selected health facilities in Zambia, Malawi and Zimbabwe using purposive sampling. A World Health Organization-WHO 2016 Quality of Maternal and New-born assessment Framework and the WHO (2015) Service Availability and Readiness Assessment tool were used for data collection. Data was analyzed using Statistical Package for Social Scientist (SPSS) version 24.0. Results: Less than 43% of the health facilities satisfied at least three of the five Performance Standards of availability and adequacy of Antenatal infrastructure and supplies. Regarding Antenatal processes/care, an observation was the most common performance standard satisfied by 70.6% of all health facilities assessed while less than 30% fulfilled all other standards. Only 57.1% of the health facilities satisfied 5 of the 11 standards for labour and delivery infrastructure, while only 55.6% of the Health facilities satisfied only two of the 13 standards of Labour and delivery care. Conclusion: To achieve a significant and sustainable reduction in maternal and neonatal morbidity and mortality, there is a need for investment and improvement in maternity care services infrastructure and processes as opposed to focusing on mere attendance of Antenatal, and deliveries by trained birth attendants.

Integrating Experimental and Analytic Approaches to Improve Data Quality in Genome-wide RNAi Screens

CrossRef Listing of Deleted DOIs ◽

10.1177/1087057108317145 ◽

2008 ◽

Vol 13 (5) ◽

pp. 378-389 ◽

Cited By ~ 26

Author(s):

Xiaohua Douglas Zhang ◽

Amy S. Espeseth ◽

Eric N. Johnson ◽

Jayne Chin ◽

Adam Gates ◽

...

Keyword(s):

Data Quality ◽

High Throughput Screening ◽

Daily Practice ◽

Systematic Errors ◽

Quality Of Data ◽

Improve Data Quality ◽

Research Journal ◽

Genome Wide ◽

Assess Data Quality

RNA interference (RNAi) not only plays an important role in drug discovery but can also be developed directly into drugs. RNAi high-throughput screening (HTS) biotechnology allows us to conduct genome-wide RNAi research. A central challenge in genome-wide RNAi research is to integrate both experimental and computational approaches to obtain high quality RNAi HTS assays. Based on our daily practice in RNAi HTS experiments, we propose the implementation of 3 experimental and analytic processes to improve the quality of data from RNAi HTS biotechnology: (1) select effective biological controls; (2) adopt appropriate plate designs to display and/or adjust for systematic errors of measurement; and (3) use effective analytic metrics to assess data quality. The applications in 5 real RNAi HTS experiments demonstrate the effectiveness of integrating these processes to improve data quality. Due to the effectiveness in improving data quality in RNAi HTS experiments, the methods and guidelines contained in the 3 experimental and analytic processes are likely to have broad utility in genome-wide RNAi research. ( Journal of Biomolecular Screening 2008:378-389)

Peningkatan Kualitas Data Bidang Tanah di Kantor Pertanahan Kota Administrasi Jakarta Selatan

Tunas Agraria ◽

10.31292/jta.v4i2.143 ◽

2021 ◽

Vol 4 (2) ◽

pp. 168-174

Author(s):

Maslusatun Mawadah

Keyword(s):

Quality Improvement ◽

Data Quality ◽

Research Method ◽

The South ◽

Quality Of Data ◽

Regional Division ◽

Land Administration ◽

Problems And Solutions ◽

Descriptive Approach

The South Jakarta Administrative City Land Office is one of the cities targeted to be a city with complete land administration in 2020. The current condition of land parcel data demands an update, namely improving the quality of data from KW1 to KW6 towards KW1 valid. The purpose of this study is to determine the condition of land data quality in South Jakarta, the implementation of data quality improvement, as well as problems and solutions in implementing data quality improvement. The research method used is qualitative with a descriptive approach. The results showed that the condition of the data quality after the implementation of the improvement, namely KW1 increased from 86.45% to 87.01%. The roles of man, material, machine, and method have been fulfilled and the implementation of data quality improvement is not in accordance with the 2019 Complete City Guidelines in terms of territorial boundary inventory, and there are still obstacles in the implementation of improving the quality of land parcel data, namely the absence of buku tanah, surat ukur, and gambar ukur at the land office, the existence of regional division, the boundaries of the sub district are not yet certain, and the existence of land parcels that have been separated from mapping without being noticed by the office administrator.

Data Quality Associated with Big Data Processing: A Survey

Journal of University of Shanghai for Science and Technology ◽

10.51201/jusst/21/05386 ◽

2021 ◽

Vol 23 (06) ◽

pp. 1011-1018

Author(s):

Aishrith P Rao ◽

◽

Raghavendra J C ◽

Dr. Sowmyarani C N ◽

Dr. Padmashree T ◽

...

Keyword(s):

Big Data ◽

Data Quality ◽

Data Gathering ◽

Cost Effective ◽

Data Repository ◽

Critical Approach ◽

Critical Aspect ◽

Quality Of Data ◽

Data Group

With the advancement of technology and the large volume of data produced, processed, and stored, it is becoming increasingly important to maintain the quality of data in a cost-effective and productive manner. The most important aspects of Big Data (BD) are storage, processing, privacy, and analytics. The Big Data group has identified quality as a critical aspect of its maturity. Nonetheless, it is a critical approach that should be adopted early in the lifecycle and gradually extended to other primary processes. Companies are very reliant and drive profits from the huge amounts of data they collect. When its consistency deteriorates, the ramifications are uncertain and may result in completely undesirable conclusions. In the sense of BD, determining data quality is difficult, but it is essential that we uphold the data quality before we can proceed with any analytics. We investigate data quality during the stages of data gathering, preprocessing, data repository, and evaluation/analysis of BD processing in this paper. The related solutions are also suggested based on the elaboration and review of the proposed problems.