Quality Of Data Collection Process Research Articles

Validation of 4D Components for Measuring Quality of the Public Health Data Collection Process: Elicitation Study.

BackgroundIdentification of the essential components of the quality of the data collection process is the starting point for designing effective data quality management strategies for public health information systems. An inductive analysis of the global literature on the quality of the public health data collection process has led to the formation of a preliminary 4D component framework, that is, data collection management, data collection personnel, data collection system, and data collection environment. It is necessary to empirically validate the framework for its use in future research and practice.ObjectiveThis study aims to obtain empirical evidence to confirm the components of the framework and, if needed, to further develop this framework.MethodsExpert elicitation was used to evaluate the preliminary framework in the context of the Chinese National HIV/AIDS Comprehensive Response Information Management System. The research processes included the development of an interview guide and data collection form, data collection, and analysis. A total of 3 public health administrators, 15 public health workers, and 10 health care practitioners participated in the elicitation session. A framework qualitative data analysis approach and a quantitative comparative analysis were followed to elicit themes from the interview transcripts and to map them to the elements of the preliminary 4D framework.ResultsA total of 302 codes were extracted from interview transcripts. After iterative and recursive comparison, classification, and mapping, 46 new indicators emerged; 24.8% (37/149) of the original indicators were deleted because of a lack of evidence support and another 28.2% (42/149) were merged. The validated 4D component framework consists of 116 indicators (82 facilitators and 34 barriers). The first component, data collection management, includes data collection protocols and quality assurance. It was measured by 41 indicators, decreased from the original 49% (73/149) to 35.3% (41/116). The second component, data collection environment, was measured by 37 indicators, increased from the original 13.4% (20/149) to 31.9% (37/116). It comprised leadership, training, funding, organizational policy, high-level management support, and collaboration among parallel organizations. The third component, data collection personnel, includes the perception of data collection, skills and competence, communication, and staffing patterns. There was no change in the proportion for data collection personnel (19.5% vs 19.0%), although the number of its indicators was reduced from 29 to 22. The fourth component, the data collection system, was measured using 16 indicators, with a slight decrease in percentage points from 18.1% (27/149) to 13.8% (16/116). It comprised functions, system integration, technical support, and data collection devices.ConclusionsThis expert elicitation study validated and improved the 4D framework. The framework can be useful in developing a questionnaire survey instrument for measuring the quality of the public health data collection process after validation of psychometric properties and item reduction.

Application of a four-dimensional framework to evaluate the quality of the HIV/AIDS data collection process in China

ObjectiveTo qualitatively evaluate the quality of the data collection process used by the Chinese national HIV/AIDS data repository (CRIMS), using a four-dimensional (4D) framework. The process is vital for the acquisition of high-quality data for ending the HIV/AIDS epidemic in China. MethodsThe study was carried out in China from September 2014 to April 2015. Stratified convenient sampling was conducted to recruit 28 study participants including health administrators, public health professionals and clinicians. Data were collected through semi-structured interviews with the participants and from field observations in six hospitals. Content analysis was conducted following the 4D Framework. Results61 percent of the facilitators and 74 percent of the barriers of the 4D Framework were confirmed in the CRIMS data collection process. The CRIMS achieved better-quality data collection management. The perceived gaps primarily included: impractical data collection protocol and invalid quality assessment mechanism for data collection management; weak leadership and unsupportive organizational policy for data collection environment; poor communication and job fatigue for data collection personnel; and inflexibility and inaccessibility of data collection system. Areas for improvement included: engaging frontline staff in the design of data collection protocol, standardizing quality assurance procedures, strengthening leadership, recognizing data collector’s contributions, and meeting end-users’ needs for the CRIMS. ConclusionThe findings generated knowledge about the quality of the CRIMS data collection process. The 4D Framework has potential as an evaluation tool for decision-makers on the improvement of the public health data collection process.

Assessment of Client Satisfaction on Family Planning Services Utilization in Wonji Hospital, Ethiopia, 2016

Background: Patients have the right to expect quality of care. Providing quality of care in family planning services is an important task for care providers so as to increase services utilization and coverage. Research of Hospital based patient satisfaction on family planning service utilization is rare in some regions of Ethiopia. Both availability and quality of family planning services are believed to have contributed to increase contraceptive use and declining fertility rates in developing countries. Objective: The objective of this study is to assess the client satisfaction on family Planning services utilization provided in wonji hospital, Oromia state, Ethiopia, 2016. Methodology: A cross-sectional study design will be used during the study period from September 1-October 30, 2016. All women of reproductive age group (15-49) who visit wonji hospital family planning unit with all service providers. During the study period were source populations. All family planning users and service providers who were available during the study period were taken as sample. The sampling technique employed is systematic sampling method. Data were collected by face to face interview and observation during the procedure done by using English version semi-structured questionnaire. The quality of data collection process will be monitored by giving clear instructions to the data collectors. The results of the study are summarized using tables and graphs. Result: A total of hundred female contraceptive users and five service providers included in this study. Thirty eight percent are illiterate, 83% were married, 49% are 21-30 years old and 66% are residence in town. The dominant numbers of the clients know family planning method. Injection 59 (59%) and oral contraceptive pills 22 (22%) are the most frequently used. About 45 (45%) of the client was got both information and service together. Among interviewed client 56 (56%) % of the clients have >30 min waiting time to get the service. Most of the client 59 (59%) didn’t get information on long term family planning. Almost 56 (55%) of client were not satisfied for family planning service given. For clients’ satisfaction waiting time, insufficient information with the service and not informing on long term family planning, marital status and education were found important factors. Conclusion: Client satisfaction on utilization of family planning service is low in Wonji hospital. Clients are informed well on short term contraceptives method than on long term. Method choices are generally limited to hormonal methods, injectable and oral contraceptive pill being dominant methods. Waiting time, insufficient information with the service and not informing on long term family planning, marital status and education are important factors affecting client satisfaction on family planning utilization. The health professionals have to improve client satisfaction on utilization of family planning services.

Transition from university to work

The biggest advantage of the web survey method is that in many cases it is easier, faster and cheaper than any conventional methods. However, quality issues in web surveys are of interest because improving the quality of the survey process in terms of timeliness, response rate and accuracy is a basic requirement. The aim of this paper is to analyse several dimensions of quality of data collection through the web, adopting a mixed-mode contact and follow-up plan using both telephone and e-mail. In this way, we can compare differences between e-mail and telephone contact modes in response patterns on the occasion of both the first contact and the callbacks. Different quality indicators referring to data collection timeliness, the relationship between structural variables and quality of data collection process are computed. The data used on this empirical investigation concern university-to-work transition – an issue of great relevance in Italy considering its high levels of youth unemployment.