scholarly journals A data quality assessment of the first four years of malaria reporting in the Senegal DHIS2, 2014–2017

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Pierre Muhoza ◽  
Roger Tine ◽  
Adama Faye ◽  
Ibrahima Gaye ◽  
Scott L. Zeger ◽  
...  
Keyword(s):  
Data Quality ◽  
Health Information ◽  
National Level ◽  
Health Information System ◽  
Poisson Model ◽  
District Health ◽  
Quality Of Reporting ◽  
Facility Level ◽  
Over Time

Abstract Background As the global burden of malaria decreases, routine health information systems (RHIS) have become invaluable for monitoring progress towards elimination. The District Health Information System, version 2 (DHIS2) has been widely adopted across countries and is expected to increase the quality of reporting of RHIS. In this study, we evaluated the quality of reporting of key indicators of childhood malaria from January 2014 through December 2017, the first 4 years of DHIS2 implementation in Senegal. Methods Monthly data on the number of confirmed and suspected malaria cases as well as tests done were extracted from the Senegal DHIS2. Reporting completeness was measured as the number of monthly reports received divided by the expected number of reports in a given year. Completeness of indicator data was measured as the percentage of non-missing indicator values. We used a quasi-Poisson model with natural cubic spline terms of month of reporting to impute values missing at the facility level. We used the imputed values to take into account the percentage of malaria cases that were missed due to lack of reporting. Consistency was measured as the absence of moderate and extreme outliers, internal consistency between related indicators, and consistency of indicators over time. Results In contrast to public facilities of which 92.7% reported data in the DHIS2 system during the study period, only 15.3% of the private facilities used the reporting system. At the national level, completeness of facility reporting increased from 84.5% in 2014 to 97.5% in 2017. The percentage of expected malaria cases reported increased from 76.5% in 2014 to 94.7% in 2017. Over the study period, the percentage of malaria cases reported across all districts was on average 7.5% higher (P < 0.01) during the rainy season relative to the dry season. Reporting completeness rates were lower among hospitals compared to health centers and health posts. The incidence of moderate and extreme outlier values was 5.2 and 2.3%, respectively. The number of confirmed malaria cases increased by 15% whereas the numbers of suspected cases and tests conducted more than doubled from 2014 to 2017 likely due to a policy shift towards universal testing of pediatric febrile cases. Conclusions The quality of reporting for malaria indicators in the Senegal DHIS2 has improved over time and the data are suitable for use to monitor progress in malaria programs, with an understanding of their limitations. Senegalese health authorities should maintain the focus on broader adoption of DHIS2 reporting by private facilities, the sustainability of district-level data quality reviews, facility-level supervision and feedback mechanisms at all levels of the health system.

Quality of Routine Health Information System Data and Associated Factors Among Departments in Public Health Facilities of Harari Region, Ethiopia

2021 ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera ◽  
Negga Baraki
Keyword(s):  
Public Health ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Health Facilities ◽  
Quality Data ◽  
Public Health Facilities ◽  
System Data

Abstract Background: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia.Methods: A cross-sectional study was conducted in all public health facilities in Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation check-lists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P-value <0.05. Result: The study found a good quality data in 51.35% (95% CI, 44.6-58.1) of the departments in public health facilities in Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to departments found in the health posts. The presence of trained staffs able to fill reporting formats (AOR=2.474; 95%CI: 1.124-5.445) and provision of feedback (AOR=3.083; 95%CI: 1.549-6.135) were also significantly associated with data quality. Conclusion: The level of good data quality in the public health facilities was less than the expected national level. Training should be provided to increase the knowledge and skills of the health workers.

scholarly journals Evaluasi Sistem Informasi Manajemen Puskesmas Guna Mendukung Penerapan Sikda Generik Menggunakan Metode Hot Fit Di Kabupaten Purworejo

2016 ◽  
Vol 4 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Viera Juniver Thenu ◽  
Eko Sediyono ◽  
Cahya Tri Purnami
Keyword(s):  
Information System ◽  
Health Center ◽  
Health Information ◽  
Health Information System ◽  
Health Centers ◽  
Accurate Information ◽  
System Quality ◽  
District Health ◽  
Routine Monitoring

Purworejo District Health Office (DHO) has developed Health Center Management Information System (HCMIS) to provide quick, precise, and accurate information for supporting the process of decision making and the policy of services at Health Center. However, there was still any empty forms and did not use the system. To standardize Health Information System, Ministry of Health has released a concept of Generic SIKDA. Therefore, the system applied by Purworejo DHO needs to be evaluated using the method of HOT fit. This was qualitative research using indepth interview and direct observation. Main informants were nine data operators and informants for triangulation purpose was six persons from health centers and five persons from DHO. Furthermore, data were analyzed using content analysis. The result of this research revealed that the application of HCMIS at Purworejo DHO was equal to Generic SIKDA. The system had been applied routinely but there was no a guidance book and training. Number of human resources was sufficient. However, there needed to make an implementer team of Health Information System in accordance with competency. There was no routine monitoring and current budget was not sufficient to maintain hardware to support the system. Quality of the system used was good, easy to use, and available of menu to communicate data. Unfortunately, quality of resulted information had still been inaccurate and incomplete because it did not cover data of services at Subsidiary Health Centers (SHC) and Village Health Posts (VHP). The lateness of services was related to a funding procedure. HCMIS at Purworejo DHO was equal to Generic SIKDA but it had not been used to make a decision. As a suggestion, DHO needs to conduct training, monitor, and provide hardware and a network. Meanwhile, Health Centers needs to make a commitment for applying the HCMIS maximally by SHC and VHP.

scholarly journals Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: A qualitative exploratory study

2020 ◽  
Author(s):  
Tahmina Begum ◽  
Shaan Muberra Khan ◽  
Bridgit Adamou ◽  
Jannatul Ferdous ◽  
Muhammad Masud Parvez ◽  
...  
Keyword(s):  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Program Effectiveness ◽  
National Level ◽  
Digital Data ◽  
Quality Data ◽  
Health Management Information System ◽  
District Health ◽  
Implementation Framework

Abstract Background: Accurate and high-quality data are important for improving program effectiveness and informing policy.In 2009 Bangladesh’s health management information system (HMIS) adopted the District Health Information Software, Version 2 (DHIS2) to capture real-time health service utilization data. However, routinely collected data are being underused because of poor data quality and reporting. We aimed to understand the facilitators and barriers to implementing DHIS2 as a way to retrieve meaningful and accurate data for reproductive, maternal, newborn, child, and adolescent health (RMNCAH) services. Methods: This qualitative study was conducted in two districts of Bangladesh from September 2017 to 2018. Data collection included key informant interviews (n=11), in-depth interviews (n=23), and focus group discussions (n=2). The study participants were involved with DHIS2 implementation from the community level to the national level. The data were analyzed thematically.Results: DHIS2 could improve the timeliness and completeness of data reporting over time. The reported facilitating factors were strong government commitment, extensive donor support, and positive attitudes toward technology among staff. Quality checks and feedback loops at multiple levels of data gathering points are helpful for minimizing data errors. Introducing a dashboard makes DHIS2 compatible to use as a monitoring tool. Barriers to effective DHIS2 implementation were lack of human resources, slow Internet connectivity, frequent changes to DHIS2 versions, and maintaining both manual and electronic system side-by-side. The data in DHIS2 remains incomplete because it does not capture data from private health facilities. Having two parallel HMIS reporting the same RMNCAH indicators threatens data quality and increases the reporting workload. Conclusion: The overall insights from this study are expected to contribute to the development of effective strategies for successful DHIS2 implementation and building a responsive HMIS. Focused strategic direction is needed to sustain the achievements of digital data culture. Periodic refresher trainings, incentives for increased performance, and an automated single reporting system for multiple stakeholders could make the system more user-friendly. A national electronic health strategy and implementation framework can facilitate creating a culture of DHIS2 use for planning, setting priorities, and decision making among stakeholder groups.

scholarly journals Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera Abaerei ◽  
Teferi Gebru Gebremeskel ◽  
Negga Baraki
Keyword(s):  
Public Health ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Health Facilities ◽  
Quality Data ◽  
Public Health Facilities ◽  
System Data

Abstract Background Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia. Methods A cross-sectional study was conducted in all public health facilities in the Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation checklists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P value < 0.05. Result The study found good quality data in 51.35% (95% CI 44.6–58.1) of the departments in public health facilities in the Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to those found in the health posts. The presence of trained staffs able to fill reporting formats (AOR = 2.474; 95% CI 1.124–5.445) and provisions of feedbacks (AOR = 3.083; 95% CI 1.549–6.135) were also significantly associated with data quality. Conclusion The level of good data quality in the public health facilities was less than the expected national level. Lack of trained personnel able to fill the reporting format and feedback were the factors that are found to be affecting data quality. Therefore, training should be provided to increase the knowledge and skills of the health workers. Regular supportive supervision and feedback should also be maintained.

scholarly journals CAF and CAMM analyses on the first 10 years of national Kanta services in Finland

2020 ◽  
Vol 12 (4) ◽  
Author(s):  
Vesa Jormanainen ◽  
Jarmo Reponen
Keyword(s):  
Health Information ◽  
Large Scale ◽  
National Level ◽  
Health Information System ◽  
Strong Support ◽  
Evaluation Framework ◽  
Macro Level ◽  
State Budget ◽  
Study Results ◽  
Clinical Adoption

We report the large-scale deployment, implementation and adoption of the nationwide centralized integrated and shared Kanta health information services by using the Clinical Adoption Framework (CAF). The meso and macro level dimensions of the CAF were incorporated early into our e-health evaluation framework to assess Health Information System (HIS) implementation at the national level. We found strong support for the CAF macro level model concepts in Finland. Typically, development programs were followed by government policy commitments, appropriate legislation and state budget funding before the CAF meso level implementation activities. Our quantitative data point to the fact that implementing large-scale health information technology (HIT) systems in practice is a rather long process. For HIT systems success in particular citizens’ and professionals’ acceptance are essential. When implementation of the national health information systems was evaluated against Clinical Adoption Meta-Model (CAMM), the results show that Finland has already passed many milestones in CAMM archetypes. According to our study results, Finland seems to be a good laboratory entity to study practical execution of HIT systems, CAF and CAMM theoretical constructs can be used for national level HIS implementation evaluation.

A Systematic Literature Review on the Application of Rasch Analysis in Musculoskeletal Disease — A Special Interest Group Report of OMERACT 11

2013 ◽  
Vol 41 (1) ◽  
pp. 159-164 ◽  
Author(s):  
Ying-Ying Leung ◽  
May-Ee Png ◽  
Philip Conaghan ◽  
Alan Tennant
Keyword(s):  
Literature Review ◽  
Outcome Measures ◽  
Interest Group ◽  
Systematic Literature Review ◽  
Rasch Model ◽  
Special Interest ◽  
Rasch Analysis ◽  
Quality Of Reporting ◽  
Over Time

Objective.The Rasch measurement model provides robust analysis of the internal construct validity of outcome measures. We reviewed the application of Rasch analysis in musculoskeletal medicine as part of the work leading to discussion in a Special Interest Group in Rasch Analysis at Outcome Measures in Rheumatology 11.Methods.A systematic literature review of SCOPUS and MEDLINE was performed (January 1, 1985, to February 29, 2012. Original research reports in English using “Rasch” or “Item Response Theory” in musculoskeletal diseases were assessed by 2 independent reviewers. The topics of focus and analysis methodology details were recorded.Results.Of 212 articles reviewed, 114 were included. The number of publications rose from 1 in 1991–1992 to 23 in 2011–February 2012. Disease areas included rheumatoid arthritis (28%), osteoarthritis (16.6%), and general musculoskeletal disorders (43%). Sixty-six reports (57.9%) evaluated psychometric properties of existing scales and 35 (30.7%) involved development of new scales. Nine articles (7.9%) were on methodology illustration. Four articles were on item banking and computer adaptive testing. A majority of the articles reported fit statistics, while the basic Rasch model assumption (i.e., unidimensionality) was examined in only 57.2% of the articles. An improvement in reporting qualities with Rasch articles was noted over time. In addition, only 11.4% of the articles provided a transformation table for interval scale measurement in clinical practice.Conclusion.The Rasch model has been increasingly used in rheumatology over the last 2 decades in a wide range of applications. The majority of the articles demonstrated reasonable quality of reporting. Improvements in quality of reporting over time were revealed.

Panel Effects: Do the Reports of Panel Respondents Get Better or Worse over Time?

2018 ◽  
Vol 7 (4) ◽  
pp. 572-588
Author(s):  
Hanyu Sun ◽  
Roger Tourangeau ◽  
Stanley Presser
Keyword(s):  
Missing Data ◽  
Data Quality ◽  
General Social Survey ◽  
Panel Survey ◽  
Social Survey ◽  
Counter Terrorism ◽  
Item Functioning ◽  
Panel Effects ◽  
Over Time

Abstract It is well established that taking part in earlier rounds of a panel survey can affect how respondents answer questions in later rounds. It is less clear, however, whether panel participation affects the quality of the data that respondents provide. We examined two panels to investigate how participation affects several indicators of data quality—including straightlining, item missing data, scale reliabilities, and differences in item functioning over time—and to test the hypotheses that it is less educated and older respondents who mainly account for any panel effects. The two panels were the GfK Knowledge Panel, in which some respondents completed up to four rounds measuring their attitudes toward terrorism and ways to counter terrorism, and the General Social Survey (GSS), in which respondents completed up to three rounds with an omnibus set of questions. The two panels differ sharply in terms of response rates and the level of prior survey experience of the respondents. Most of our comparisons are within-respondent, comparing the answers panel members gave in earlier rounds with those they gave in later rounds, but we also confirm the main results using between-subject comparisons. We find little evidence that respondents gave either better or worse data over time in either panel and little support for either the education or age hypotheses.

scholarly journals Evaluasi Sistem Informasi Kesehatan di Provinsi Jawa Tengah Dalam Rangka Penguatan Sistem Informasi Kesehatan Nasional

2016 ◽  
Vol 4 (3) ◽  
pp. 222-231
Author(s):  
Endah Sri Lestari ◽  
Sutopo Patria Jati ◽  
Aris Puji Widodo
Keyword(s):  
Information System ◽  
Health Information ◽  
Government Regulation ◽  
Assessment Tool ◽  
Health Information System ◽  
Research Subjects ◽  
District Health ◽  
Central Java ◽  
High Quality Information ◽  
Central Java Province

Evaluasi SIK bertujuan untuk memastikan SIK berjalan secara efisien, mampu mengumpulkan informasi yang relevan dan berkualitas sebagai dasar pengambilan keputusan oleh pemangku kebijakan. Hasil penilaian SIK sangat dibutuhkan dalam meningkatkan kinerja SIK.SIK Provinsi Jawa Tengah merupakan sub sistem dari SIKNAS sehingga pengembangan SIK Provinsi Jawa Tengah akan berpengaruh terhadap penguatan SIKNAS. Tujuan dari penelitian ini adalah untuk mengevaluasi SIK di Provinsi Jawa Tengah dalam rangka Penguatan SIKNAS. Penelitian ini merupakan penelitian deskriptif evaluatif dengan pendekatan kuantitatif dan kualitatif. Subyek penelitian adalah 35 petugas SIK DKK dan enam petugas SIK Dinas Kesehatan Provinsi Jawa Tengah. Pengumpulan data kuantitatif melalui pengisian kuesioner, pengumpulan data kualitatif melalui FGD dan wawancara. Analisis data penelitian dilakukan dengan menggunakan perangkat Evaluasi SIK Provinsi yang merupakan modifikasi dari Assessment Tool HMN Versi 4.00. Modifikasi Assessment Tool HMN Versi 4.00 dilakukan dengan cara menghapus item pertanyaan yang tidak relevan dengan SIK di provinsi dan menambahkan item pertanyaan berdasarkan PP no 46/2016 tentang SIK. Hasil evaluasi terhadap tujuh komponen SIK, empat diantaranya dinilai “ada tapi tidak adekuat” yaitu komponen pengelolaan (54,7%), sumber daya (54,2%), sumber data (58%) dan manajemen data (41,3%). Sementara tiga komponen lainnya dinilai “adekuat”, yaitu komponen indikator (74,3%), produk informasi (71,3%) dan diseminasi dan penggunaan informasi (74,5%).Disimpulkan bahwa secara umum SIK Provinsi Jawa Tengah berada dalam kategori “adekuat”. Untuk meningkatkan pengelolaan SIK di Provinsi Jawa Tengah, direkomendasikan untuk membuat suatu standar tata kelola SIK sebagai acuan pengelolaan SIK di Provinsi Jawa Tengah. Evaluation of Health Information System (HIS) aimed at ascertaining the efficient implementation of HIS that could result relevant and high-quality information to be used as a basis of making a decision by a decision maker. The result of HIS assessment was needed to improve the HIS performance. HIS of Central Java Province was a sub-system of National Health Information System (NHIS) in which the development of HIS there would strengthen the NHIS. The aim of this study was to evaluate HIS in Central Java Province in order to strengthen NHIS. This was a descriptive-evaluative study using quantitative-qualitative approach. Research subjects were 35 HIS officers at District Health Office (DHO) and six HIS officers at Central Java Province Health Office. Quantitative data were collected by filling a questionnaire whereas qualitative data were collected by conducting FGD and indepth interview. Data analysis was performed using a software of Province HIS evaluation that was modified from Assessment Tool HMN version 4.00. Modification of Assessment Tool HMN version 4.00 was performed by deleting questions that were irrelevant with HIS at province and adding questions based on government regulation number 46/2016 about HIS. The results of evaluation of seven components of HIS, four of these seven components indicated “available but inadequate”, namely components of management (54.7%), resource (54.2%), data source (58%), and data management (41.3%). In contrast, three of these seven components were “adequate”, namely components of indicator (74.3%), information product (71.3%), and dissemination and use of information (74.5%). To sum up, generally HIS of Central Java Province was categorised as “adequate”. To improve HIS management in Central Java Province, a standard of HIS management needs to be made as a reference to manage HIS in Central Java Province.

Does the quality of patient-reported outcomes (PROs) assessment in randomized controlled trials (RCTs) differ across cancer types and over time? A pooled analysis of 610 RCTs published between 2004 and 2018.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18218-e18218
Author(s):  
Francesco Sparano ◽  
Neil K Aaronson ◽  
Mirjam A.G. Sprangers ◽  
Peter Fayers ◽  
Andrea Pusic ◽  
...  
Keyword(s):  
Pooled Analysis ◽  
Site Quality ◽  
Cancer Site ◽  
Cancer Type ◽  
Quality Of Reporting ◽  
Quality Of Life Research ◽  
Patient Reported ◽  
Consort Pro ◽  
Over Time

e18218 Background: PRO endpoints are increasingly being used in cancer RCTs. However, the PRO assessment in such trials often suffers from serious methodological shortcomings, and the results seldom impact on clinical policy or practice. Methods: We performed a systematic review to identify RCTs with a PRO endpoint in breast, colorectal, lung, prostate, gynaecological and bladder cancer. A checklist score for quality of PRO reporting (ranging between 0-100), based on that of the International Society for Quality of Life Research (ISOQOL) and the CONSORT PRO extension, was computed for each RCT. Analyses were also conducted by type of PRO endpoint (primary versus secondary) and year of publication (i.e. before and after the publication of the CONSORT PRO extension). Results: We identified 610 RCTs with a total of 323,482 patients. PROs were most frequently used in RCTs of breast (N = 176), followed by lung (N = 123), prostate (N = 108), colorectal (N = 103), gynaecological (N = 83) and bladder (N = 17) cancer. Quality of PRO reporting (mean score: 56.4) was highest in RCTs conducted in prostate cancer (PCa) (Table). Regardless of cancer type, quality of reporting was typically higher in RCTs where PROs were primary endpoints. Quality of reporting was higher for RCTs published after the CONSORT PRO Extension (2013), with the exception of RCTs conducted in PCa, where quality was stable over time. Conclusions: PRO reporting of RCTs conducted in PCa has better quality than in the other cancer sites that were reviewed. Regardless of cancer site, quality of PRO reporting has improved after the publication of the CONSORT PRO Extension. [Table: see text]

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