scholarly journals Data Quality on Expanded Programme on Immunization in Pertussis Outbreak Affected District: The Case of Dara Malo woreda, Southern Ethiopia

2019 ◽  
Author(s):  
Mesele Damte Argaw ◽  
Binyam Fekadu Desta ◽  
Zergu Taffesse Tsegaye ◽  
Aychiluhim Damtew Mitiku ◽  
Afework Ayele Atsa ◽  
...  
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Monitoring System ◽  
Southern Ethiopia ◽  
District Health ◽  
Cross Sectional ◽  
Wrong Decision ◽  
Outbreak Management ◽  
Immunization Status

Abstract Background: The aim of this study was to investigate the quality of immunization data and monitoring system in the Dara Malo district (woreda) of Gamo Administrative Zone, Southern Nations, Nationalities and Peoples Region (SNNPR) of Ethiopia. Method: a cross-sectional study was conducted from August 4 to September 27, 2019 in Dara Malo District. The district was purposively selected during the management of a pertussis outbreak based on the hypothesis ‘there is no difference in reported and recounted immunization status of children 7 to 23 months in Dara Malo District of Ethiopia’. A quality index (QI) and proportions of completeness, timeliness and accuracy ratio of the first and third doses of pentavalent vaccines and the first dose of measles-containing vaccines (MCV) were made. Results: in this study 336 month-facility data were extracted. In addition, 595 children aged 7 - 23 months, with a response rate of 94.3%, were assessed and compared for immunization status using register and immunization cards or caretakers’ oral report through the household survey. The ratio of vaccination data compared using tallies against the reports showed evidences of over reporting with 50.8%, 45.1% and 46.5% for first pentavalent, third pentavalent and first dose of measles vaccinations, respectively. Completeness of third dose of pentavalent vaccinations were 95.3%, 956% and 100.0% at health posts, health centers and at the district health office, respectively. The QI scores ranged between 61.0% and 80.5% for all five categories, namely, 73.0% for recording, 71.4% for archiving and reporting, 70.4% for demographic information, 69.7% for core outputs and 70.4% for data uses and were assessed as suboptimal at all levels. Conclusion: The immunization data completeness was found to be optimal. However, in the study area, the accuracy, consistency, timeliness and quality of monitoring system were found to be sub-optimal. Therefore, poor data quality has led to wrong decision making during the reported pertussis outbreak management. Enhancing the capacity of healthcare providers on planning, recording, archiving and reporting, analyzing, and use of immunization data for evidence-based decision making is recommended.

scholarly journals Poor Immunization Data Quality Led to Wrong Decision Making in Pertussis Outbreak Management in Southern Ethiopia: a Cross Sectional Study

2021 ◽  
Author(s):  
Mesele D. Argaw ◽  
Binyam F. Desta ◽  
Zergu T. Tsegaye ◽  
Aychiluhim D. Mitiku ◽  
Afework A Atsa ◽  
...  
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Household Survey ◽  
Cross Sectional Study ◽  
Health Centers ◽  
District Health ◽  
Cross Sectional ◽  
Outbreak Management ◽  
Accuracy Ratio

Abstract Background: The aim of this study was to investigate the quality of immunization data and monitoring systems in the Dara Malo district (woreda) of the Gamo Administrative Zone, Southern Nations, Nationalities and Peoples Region (SNNPR) of Ethiopia.Method: A cross-sectional study was conducted from August 4 to September 27, 2019 in Dara Malo District. The district was purposively selected during the management of a pertussis outbreak based on the hypothesis ‘there is no difference in reported and recounted immunization status of children 7 to 23 months in Dara Malo District of Ethiopia’. The study used the World Health Organization (WHO)-recommended Data Quality Self-Assessment (DQS) tools. The accuracy ratio was determined using data from the routine Expanded Program of Immunization (EPI) and household survey. Facility data spanning the course of 362 months were abstracted from EPI registers, tally sheets, and monthly routine reports. In addition, household surveys collected data from caretakers or immunization cards or oral reports. Trained DQS assessors collected the data to explore the quality of the monitoring system at health posts, health centers and district health offices. A quality index (QI) and proportions of completeness, timeliness and accuracy ratio of the first and third doses of pentavalent vaccines and the first dose of measles-containing vaccines (MCV) were made.Results: In this study, 336-month facility data were extracted. In addition, 595 children aged 7 - 23 months, with a response rate of 94.3%, were assessed and compared for immunization status using register and immunization cards or caretakers’ oral reports through the household survey. At the district level, the proportion of the re-counted vaccination data on EPI registers for first dose pentavalent was 95.20%, three doses of pentavalent was 104.2% and first dose of measles was 98.6%. However, the ratio of vaccination data compared using tallies against the reports showed evidence of overreporting with 50.8%, 45.1% and 46.5% for first pentavalent, third pentavalent and first dose of measles vaccinations, respectively. The completeness of the third dose of pentavalent vaccinations was 95.3%, 95.6% and 100.0% at health posts, health centers and at the district health office, respectively. The timeliness of the immunization reports was 56.5% and 64.6% at health posts and health centers, respectively, while the district health office does not have timely submitted on time to the next higher level for twelve months. The QI scores ranged between 61.0% and 80.5% for all five categories, namely, 73.0% for recording, 71.4% for archiving and reporting, 70.4% for demographic information, 69.7% for core outputs and 70.4% for data uses and were assessed as suboptimal at all levels.Conclusion: Immunization data completeness was found to be optimal. However, in the study area, the accuracy, consistency, timeliness and quality of the monitoring system were found to be suboptimal. Therefore, poor data quality has led to incorrect decision making during the reported pertussis outbreak management. Availing essential supplies, including tally sheets, monitoring charts and stock management tools, should be prioritized in Daro Malo District. Enhancing the capacity of healthcare providers on planning, recording, archiving and reporting, analyzing, and using immunization data for evidence-based decision making is recommended.

Knowledge, Attitudes and associated factors to Use District Health Information System (DHIS2 data) for decision making among health professionals in a Resource limited settings: Cross-sectional Survey (Preprint)

2020 ◽  
Author(s):  
Shuma Gosha Kanfe ◽  
Nebyu Demeke Mengiste ◽  
Mohammedjud Hassen Ahmed ◽  
Gebiso Roba Debele ◽  
Berhanu Fikadie Endehabtu
Keyword(s):  
Decision Making ◽  
Health Professionals ◽  
Associated Factors ◽  
Good Knowledge ◽  
Cross Sectional Survey ◽  
District Health ◽  
Cross Sectional ◽  
Determinant Factors ◽  
Knowledge And Attitudes ◽  
Health Need

BACKGROUND Evidence based practice is a key to increase effectiveness and efficiency of quality health services. To achieve this, utilization of health facility data (DHIS2 data) is required which is determined by knowledge and attitudes of health professionals. Thus, this study aimed to assess knowledge and attitudes of health professionals to use DHIS2 data for decision making. OBJECTIVE This study aimed to assess the knowledge, attitudes and its associated factors among health professionals to use DHIS2 data for decision making at South west of Ethiopia 2020 METHODS Cross sectional quantitative study methods was conducted to assess Knowledge and Attitudes of health professionals to use DHIS2 data. A total of 264 participants were approached. SPSS version 22 software was used for data entry and analysis. Descriptive and analytical statistics including Bivariable and Multivariable analyses was done RESULTS Overall 130(49.2%) of the respondents had good knowledge to use DHIS2 data (95% CI: [43, 55.3]), whereas over 149 (56.4%) of the respondents had favorable attitudes towards the use of DHIS2 data for decision making purpose (95% CI: [53.2, 59.8]). Skills [AOR=2.20,95% CI:(1.16, 4.19)], Age [AOR= 1.92, 95% CI: (1.03, 3.59)] ,Resources[AOR=2.56, 95% CI:(1.35,4.86)], Staffing[AOR= 2.85, 95% CI : (1.49, 5.48)] and Experiences[AOR= 4.66, 95% CI: (1.94, 5.78)] were variables associated with knowledge to use DHIS2 data whereas Training [AOR= 5.59, 95% CI: (2.48, 5.42)], Feedback [AOR= 4.08, 95% CI: (1.87, 8.91)], Motivation [AOR=2.87, 95% CI: (1.36, 6.06)] and Health need [AOR=2.32, 95% CI: (1.10-4.92)] were variables associated with attitudes of health professionals to use DHIS2 data CONCLUSIONS In general, about half of the study participants had good knowledge of DHIS2 data utilization whereas more than half of respondents had favorable attitudes. Skills, resources, ages, staffing and experiences were the most determinant factors for the knowledge to use DHIS2 data whereas health need, motivation, feedback and training were determinant factors for attitudes to use DHIS2 data

Understanding of Prognosis Among Parents of Children With Cancer: Parental Optimism and the Parent-Physician Interaction

2007 ◽  
Vol 25 (11) ◽  
pp. 1357-1362 ◽  
Author(s):  
Jennifer W. Mack ◽  
E. Francis Cook ◽  
Joanne Wolfe ◽  
Holcombe E. Grier ◽  
Paul D. Cleary ◽  
...  
Keyword(s):  
Decision Making ◽  
Functional Outcome ◽  
Response Rate ◽  
Cross Sectional Survey ◽  
Children With Cancer ◽  
Cross Sectional ◽  
Factors Associated ◽  
Dana Farber Cancer Institute ◽  
Unrealistic Expectations

Purpose Patients often overestimate their chances of surviving cancer. Factors that contribute to accurate understanding of prognosis are not known. We assessed understanding of likelihood of cure and functional outcome among parents of children with cancer and sought to identify factors that place parents at risk for overly optimistic beliefs about prognosis. Patients and Methods We conducted a cross-sectional survey of 194 parents of children with cancer (response rate, 70%) who were treated at the Dana-Farber Cancer Institute and Children's Hospital in Boston, MA, and the children's physicians. Parent and physician expectations for likelihood of cure and functional outcome were compared. In 152 accurate or optimistic parents, we determined factors associated with accurate understanding of likelihood of cure compared with optimism. Results The majority of parents (61%) were more optimistic than physicians about the likelihood of cure. Parents' beliefs about other outcomes of cancer treatment were similar (quality-of-life impairment, P = .70) or more pessimistic (physical impairment, P = .01; intellectual impairment, P = .01) than physicians' beliefs. Parents and physicians were more likely to agree about chances of cure when physicians had confidence in knowledge of prognosis (odds ratio [OR] = 2.55, P = .004) and allowed parents to take their preferred decision-making role (OR = 1.89, P = .019). Conclusion Parents of children with cancer are overly optimistic about chances of cure but not about other outcomes of cancer therapy. Parents tend to be overly optimistic about cure when physicians have little confidence and when the decision-making process does not meet parents' preferences. These findings suggest that physicians are partly responsible for parents' unrealistic expectations about cure.

scholarly journals Using the Data Quality Dashboard to Improve the EHDEN Network

2021 ◽  
Author(s):  
Clair Blacketer ◽  
Erica A Voss ◽  
Frank DeFalco ◽  
Nigel Hughes ◽  
Martijn J Schuemie ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Data Quality ◽  
Baseline Level ◽  
Health Data ◽  
Quality Of Data ◽  
Regulatory Decision ◽  
Standard Data ◽  
Network Methods

Background: Observational health data has the potential to be a rich resource to inform clinical practice and regulatory decision making. However, the lack of standard data quality processes makes it difficult to know if these data are research ready. The EHDEN COVID-19 Rapid Col-laboration Call presented the opportunity to assess how the newly developed open-source tool Data Quality Dashboard (DQD) informs the quality of data in a federated network. Methods: 15 Data Partners (DPs) from 10 different countries worked with the EHDEN taskforce to map their data to the OMOP CDM. Throughout the process at least two DQD results were collected and compared for each DP. Results: All DPs showed an improvement in their data quality between the first and last run of the DQD. The DQD excelled at helping DPs identify and fix conformance is-sues but showed less of an impact on completeness and plausibility checks. Conclusions: This is the first study to apply the DQD on multiple, disparate databases across a network. While study-specific checks should still be run, we recommend that all data holders converting their data to the OMOP CDM use the DQD as it ensures conformance to the model specifications and that a database meets a baseline level of completeness and plausibility for use in research.

scholarly journals Institutional design and utilisation of evaluation results in Uganda’s public universities: Empirical findings from Kyambogo University

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
James Kabuye ◽  
Benon C. Basheka
Keyword(s):  
Decision Making ◽  
Institutional Design ◽  
Monitoring And Evaluation ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Evaluation Systems ◽  
Effective Decision ◽  
Effective Decision Making ◽  
The University

Background: The need for evidence-based decision-making scaled up the need for monitoring and evaluation systems in Africa. The education sector has received increasing scrutiny, owing to its centrality in promoting the national agenda of countries. The higher education sub-sector has expanded in its drive to increase accessibility, albeit with numerous challenges and doubts, especially about the quality of education. Numerous evaluations in this sub-sector in Uganda have been carried out, but their results have not been used for effective decision-making. In this regard, the non-utilisation trend of evaluation findings is attributable to the design of the institutions where these evaluations are carried out.Objectives: The study examined the relationship between institutional design (procedural rules, evaluation processes and institutional capacity) and utilisation of evaluation results at Kyambogo University.Methodology: This was a cross-sectional survey involving a sample of 118 respondents whose views were obtained through the use of questionnaires and key informant interviews triangulated with documentary analysis.Results: The study found that procedural rules, evaluation processes and evaluation capacity had a positive (0.459, 0.486 and 0.765, respectively) and a statistically significant (sig. = 0.000) effect on utilisation of evaluation results. This means that the dimensions of institutional design were important predictors of utilisation of evaluation results by a public sector agency.Conclusion: Strengthening of the evaluation competences and capacity of the university by empowering the Directorate of Planning and Development to coordinate and harmonise all evaluations and be charged with the follow-up of utilisation of the results is an emerging recommendation from this study.

scholarly journals Commitment Levels of Health Care Providers in Using the District Health Information System and the Associated Factors for Decision Making in Resource-Limited Settings: Cross-sectional Survey Study

10.2196/23951 ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. e23951
Author(s):  
Shuma G Kanfe ◽  
Berhanu F Endehabtu ◽  
Mohammedjud H Ahmed ◽  
Nebyu D Mengestie ◽  
Binyam Tilahun
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Care Providers ◽  
Data Use ◽  
Health Information System ◽  
Evidence Based ◽  
Care Providers ◽  
District Health ◽  
Cross Sectional ◽  
Evidence Based Decision Making

Background Changing the culture of information use, which is one of the transformation agendas of the Ministry of Health of Ethiopia, cannot become real unless health care providers are committed to using locally collected data for evidence-based decision making. The commitment of health care providers has paramount influence on district health information system 2 (DHIS2) data utilization for decision making. Evidence is limited on health care providers’ level of commitment to using DHIS2 data in Ethiopia. Therefore, this study aims to fill this evidence gap. Objective This study aimed to assess the levels of commitment of health care providers and the factors influencing their commitment levels in using DHIS2 data for decision making at public health care facilities in the Ilu Aba Bora zone of the Oromia national regional state, Ethiopia in 2020. Methods The cross-sectional quantitative study supplemented by qualitative methods was conducted from February 26, 2020 to April 17, 2020. A total of 264 participants were approached. SPSS version 20 software was used for data entry and analysis. Descriptive and analytical statistics, including bivariable and multivariable analyses, were performed. Thematic analysis was conducted for the qualitative data. Results Of the 264 respondents, 121 (45.8%, 95% CI 40.0%-52.8%) respondents showed high commitment levels to use DHIS2 data. The variables associated with the level of commitment to use DHIS2 data were found to be provision of feedback for DHIS2 data use (adjusted odds ratio [AOR] 1.85, 95% CI 1.02-3.33), regular supervision and managerial support (AOR 2.84, 95% CI 1.50-5.37), information use culture (AOR 1.92, 95% CI 1.03-3.59), motivation to use DHIS2 data (AOR 1.80, 95% CI 1.00-3.25), health needs (AOR 3.96, 95% CI 2.11-7.41), and competency in DHIS2 tasks (AOR 2.41, 95% CI 1.27-4.55). Conclusions In general, less than half of the study participants showed high commitment levels to use DHIS2 data for decision making in health care. Providing regular supportive supervision and feedback and increasing the motivation and competency of the health care providers in performing DHIS2 data tasks will help in promoting their levels of commitment that can result in the cultural transformation of data use for evidence-based decision making in health care.

scholarly journals Patterns of Dyadic Appraisal of Decision-Making Involvement of African American Persons Living With Dementia

2020 ◽  
Author(s):  
Kalisha Bonds ◽  
MinKyoung Song ◽  
Carol J Whitlatch ◽  
Karen S Lyons ◽  
Jeffrey A Kaye ◽  
...  
Keyword(s):  
Decision Making ◽  
African American ◽  
Latent Class ◽  
Secondary Analysis ◽  
Mixture Modeling ◽  
Important Goal ◽  
Cross Sectional ◽  
High Involvement ◽  
Design And Methods

Abstract Background and Objectives Greater everyday decision-making involvement by persons living with dementia (PLWD) and congruent appraisal between PLWDs and their caregivers have been associated with a better quality of life (QOL) for both members of the dyad. However, no study has examined the association between the appraisals of everyday decision-making involvement of PLWDs and their QOL among African Americans. Research Design and Methods A secondary analysis of cross-sectional data from 62 African American dementia dyads was conducted. Multilevel and latent class mixture modeling was used to characterize dyadic appraisal of the decision-making involvement of African American PLWDs and identify distinct patterns thereof. Results Three distinct patterns were observed. “Incongruent, PLWD Low Involvement” labeled 19.4% of the sample, 53.2% were labeled “Incongruent, PLWD Moderate Involvement,” and 27.4% were labeled “Congruent, PLWD High Involvement.” The Congruent, PLWD High Involvement pattern consisted of PLWDs who were significantly younger and had significantly less cognitive impairment than PLWDs in the other patterns. In the Incongruent, PLWD Moderate Involvement pattern, PLWDs had significantly better QOL than PLWDs in the Incongruent, PLWD Low Involvement pattern, but QOL did not significantly differ from PLWDs in the Congruent, PLWD High Involvement pattern. Discussion and Implications There is a need to tailor strategies to optimize QOL in African American dementia dyads. While increasing everyday decision-making involvement for PLWDs in the Incongruent, PLWD Low Involvement pattern is an important goal, other strategies may be needed to improve the QOL of PLWDs in the remaining patterns.

Financial Education and Inclusion

2018 ◽  
pp. 140-162
Author(s):  
Omar Alonso Patiño Castro
Keyword(s):  
Decision Making ◽  
Venture Capital ◽  
Financial Services ◽  
Financial Education ◽  
Financial Sustainability ◽  
Short Term ◽  
Wrong Decision ◽  
Financial Pressure ◽  
In The Beginning

One of the greatest drawbacks for entrepreneurship is to achieve the financial sustainability of a project in the short term. This is a phase of the venture in which mistakes can be made and ideas can be considered; in the beginning, they can be considered as good ideas, but they are usually not brought to a happy end because of wrong decision making. Being the access to venture capital a vital need for a project, it is very possible that the decisions that are made are not accurate and with this, financial pressure is placed on a project that, at its outset, requires support in this regard. Due to the above, the improvement in the levels of financial education and the early insertion in the financial services is a decision that helps to improve the quality of decision making and with this, to have greater certainty about the possibilities of success that an entrepreneurship project can have.

ISO 9001 International Standard, a Tool to Enhance Data Quality in Durable Socio-Technical Systems

2015 ◽  
Vol 809-810 ◽  
pp. 1528-1534
Author(s):  
Alexandre Sava ◽  
Kondo Adjallah ◽  
Valentin Zichil
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Quality Management System ◽  
Technical System ◽  
Iso 9001 ◽  
Decision Making Process ◽  
Quality Of Data ◽  
International Standard ◽  
Technical Systems

The quality of data is recognized to be a key issue for the assets management in enterprises as data is the foundation of any decision making process. Recent research work has established that the quality of data is highly dependent on the knowledge one has on the socio-technical system being considered. Three modes of knowledge have been identified: knowing what, knowing how and knowing why. In this paper we focus on how to manage these modes of knowledge in durable socio-technical systems to enhance the data quality face to technological progress and employees turnover. We believe that an organization based on ISO 9001 international standard can provide a valuable framework to provide the data quality needed to an efficient decision making process. This framework has been applied to design the data quality management system within a high education socio-technical system. The most important benefits that have been noticed are: 1) a shared vision on the external clients of the system with a positive impact on the definition of the strategy and the objectives of the system and 2) a deep understanding of the data client-supplier relationship inside the socio-technical system. A direct consequence of these achievements was the increasing knowledge on “know-what” data to collect, “know-why” to collect that data and “know-how” to collect it.

Concordance Between Couples Reporting Their Child’s Quality of Life and Their Decision Making in Pediatric Oncology Palliative Care

2011 ◽  
Vol 28 (6) ◽  
pp. 319-325 ◽  
Author(s):  
Deborah Tomlinson ◽  
Eleanor Hendershot ◽  
Ute Bartels ◽  
Anne-Marie Maloney ◽  
Christine Armstrong ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Supportive Care ◽  
Clinical Care ◽  
Intraclass Correlation ◽  
Poor Correlation ◽  
Cross Sectional ◽  
Parental Assessment ◽  
Hypothetical Scenario

In children 18 years and younger with cancer and no reasonable chance for cure the authors used a cross-sectional study design to (1) describe concordance between fathers’ and mothers’ evaluation of quality of life (QoL) and (2) determine parental correlation for how factors such as hope, anticipated QoL, and prolonged survival time influence decisions between supportive care alone versus aggressive chemotherapy. Both parents of 13 children performed PedsQL 4.0 Generic Core Scales, Acute Cancer Module, and Multidimensional Fatigue Scale. Concordance was assessed using intraclass correlation coefficient (ICC). Parents reported preferences of supportive care versus aggressive chemotherapy in a hypothetical scenario and rated factors that influenced decision making. Concordance was variable across QoL domains, better for physical health (ICC = 0.46), nausea (ICC = 0.61), general fatigue (ICC = 0.50), and sleep/rest fatigue (ICC = 0.76). Correlation was variable between parents on the influence of factors on their decision, with particularly poor correlation for importance of hope ( r = −0.24). Variable concordance was reported between parental assessment of child QoL and factors influencing their decision making, suggesting parents may have different perspectives in decision making and that understanding both is important in clinical care.

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