Dataset Information

Framework synthesis to inform the ideation and design of a paper-based health information system (PHISICC).

ABSTRACT:

Background

Health information systems (HIS) are meant to support decision-making at all levels of the system, including frontline health workers. In field studies in Côte d'Ivoire, Mozambique and Nigeria, we observed health workers' interactions with the HIS and identified twelve decision-making components of HIS. The objective of this framework synthesis is to portray these components in HIS research, in order to inform the ideation of a paper-based HIS intervention (PHISICC).

Methods

We searched studies in the Cochrane Central Register of Controlled Trials (CENTRAL), Embase, Epistemonikos, Medline, in-Process on the Ovid platform, OpenGrey, PDQ Evidence ("pretty darnd quick" Evidence), the World Health Organization (WHO) Global Health Library and included studies focussing on HIS interventions, data quality, information support tools and data use for decision-making in the context of the governmental health care sector. We assessed the methodological quality of studies using the Critical Appraisal Skills Programme tool. We synthesised the findings based on the decision-making components of HIS and thematic areas.

Results

The search identified 6784 studies; 50 were included. Most of the 50 studies had quality concerns. All studies included at least one of the decision-making components: the most prominent were the technical aspects of 'recording' and 'reporting'. Data use for decision-making was much less represented.

Conclusion

HIS research focuses on the more technical aspects of HIS. Further research on HIS, given the strong push towards HIS digitalisation, should consider putting at the centre the human experience of decision-making and data use, in order to make HIS relevant for quality of care.

SUBMITTER: Zuske MK

PROVIDER: S-EPMC9544999 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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Publications

Framework synthesis to inform the ideation and design of a paper-based health information system (PHISICC).

Zuske Meike-Kathrin MK Auer Christian C Oliver Sandy S Eyers John J Bosch-Capblanch Xavier X

The International journal of health planning and management 20220423 4

<h4>Background</h4>Health information systems (HIS) are meant to support decision-making at all levels of the system, including frontline health workers. In field studies in Côte d'Ivoire, Mozambique and Nigeria, we observed health workers' interactions with the HIS and identified twelve decision-making components of HIS. The objective of this framework synthesis is to portray these components in HIS research, in order to inform the ideation of a paper-based HIS intervention (PHISICC).<h4>Method ...[more]

PMID: 35460301

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Project description:IntroductionThe Ministry of Public Health in Lebanon is in the process of converting the surveillance reporting from a cumbersome paper-based system to a web-based electronic platform (DHIS-2) to have real-time information for early detection of alerts and outbreaks and for initiating a prompt response.ObjectivesThis paper aimed to document the Lebanese experience in implementing DHIS-2 for the disease surveillance system. It also targets to assess the improvement of reporting rates and timeliness of the reported data and to disclose the encountered challenges and opportunities.MethodologyThis is a retrospective description of processes involved in the implementation of the DHIS-2 tool in Lebanon. Initially, it was piloted for the school-based surveillance in 2014; then its use was extended in May 2017 to cover other specific surveillance systems. This included all surveillance programs collecting aggregate data from hospitals, medical centers, dispensaries, or laboratories at the first stage. As part of the national roll-out process, the online application was developed. The customized aggregated-based datasets, organization units, user accounts, specific and generic dashboards were generated. More than 80 training sessions were conducted throughout the country targeting 1290 end-users including health officers at the national and provincial levels, focal persons who were working in all public and private hospitals, laboratories, and medical centers as well. Completeness and timeliness of reported data were compared before and after the implementation of DHIS-2. The unveiled challenges and the main lessons learned during the roll-out process were discussed.ResultsFor laboratory-based surveillance, completeness of reporting increased from 70.8% in May to 89.6% in October. Timeliness has improved from 25 to 74%. For medical centers, an improvement of 8.1% for completeness and 9.4% in timeliness was recorded before and after training sessions. For zero reporting, completeness remains the same (88%) and timeliness has improved from 74 to 87%. The main challenges faced during the implementation of DHIS-2 were mainly infrastructural and system-related in addition to poor internet connectivity, limited workforce, and frequent changes to DHIS-2 versions.ConclusionImplementation of DHIS-2 improved timeliness and completeness for aggregated data reporting. Continued on-site support, monitoring, and system enhancement are needed to improve the performance of DHIS-2.

Project description:BACKGROUND:Since the early 1970s, health care provision has experienced rapid growth in the investment and adoption of health information technologies (HITs). However, the development and deployment of HITs has often been conducted in silos, at different organizational levels, within different regions, and in various health care settings; this has resulted in their infrastructures often being difficult to manage or integrate. Health information standards (ie, the set norms and requirements that underpin the deployment of HITs in health care settings) are expected to address these issues, yet their adoption remains to be frustratingly low among health care information technology vendors. OBJECTIVE:This study aimed to synthesize a comprehensive framework of factors that affect the adoption and deployment of health information standards by health care organizations. METHODS:First, electronic databases, including Web of Science, Scopus, and PubMed, were searched for relevant articles, with the results being exported to the EndNote reference management software. Second, study selection was conducted according to pre-established inclusion and exclusion criteria. Finally, a synthesized best fit framework was created, which integrated a thematic analysis of the included articles. RESULTS:In total, 35 records were incorporated into the synthesized framework, with 4 dimensions being identified: technology, organization, environment, and interorganizational relationships. The technology dimension included relative advantage, complexity, compatibility, trialability, observability, switching cost, standards uncertainty, and shared business process attributes. The organization dimension included organizational scale, organizational culture, staff resistance to change, staff training, top management support, and organizational readiness. The environment dimension included external pressure, external support, network externality, installed base, and information communication. Finally, the interorganizational relationships dimension included partner trust, partner dependence, relationship commitment, and partner power. CONCLUSIONS:The synthesized framework presented in this paper extends the current understanding of the factors that influence the adoption of health information standards in health care organizations. It provides policy and decision makers with a greater awareness of factors that hinder or facilitate their adoption, enabling better judgement and development of adoption intervention strategies. Furthermore, suggestions for future research are provided.

Project description:BackgroundThe government of Ethiopia has designed different initiatives for the Health Information Systems (HIS), including an Information Revolution (IR) transformation agenda by 2015. Various interventions and working documents have also been developed and implemented targeting the different aspects of the HIS program. However, there is no nationally designed accountability framework to govern HIS activities. Besides, how health institutions follow and monitor HIS activities is unknown. Therefore, this study aimed to assess the practice and barriers of HIS accountability framework at the selected public health institutions.MethodA descriptive qualitative study design was employed from June 05 to July 12, 2023. Purposively selected informants from public health institutions were recruited for key informant interviews. A prepared pilot-tested semi-structured interview guide was used. The conventional content approach was used to summarize and synthesize the information explored.FindingsThe study revealed that most respondents described the concept and advantages of the HIS accountability framework in different ways. The participants believed the HIS accountability framework would help to govern and manage behavioral-related HIS challenges. It was indicated that the framework will help to control the recurrence of HIS errors, enhance the commitment and adherence of health professionals, and improve data handover practice, data security and privacy, data quality, informed decision, and finality quality of care. Lack of national guidelines on the HIS accountability framework, the poor culture of accountability, multiple responsibilities and workload, high staff and leadership turnover, lack of motivation, and security problems were stated barriers to implementation of the HIS accountability framework. It was suggested to create a conducive work environment, engage health professionals and other actors during the intervention development, build the skills on HIS leadership, and have the national HIS accountability framework document to implement the intervention effectively.ConclusionsEven if there is a better understanding of the concept and advantages of the HIS accountability framework, its practice across the system is limited. It would be better to design the HIS accountability framework using a human-centered design/approach by engaging the key HIS actors and understanding their working environment.

Project description:BackgroundEarly childhood caries (ECC) is a major global health issue affecting millions of children. Mitigating this problem requires up-to-date information from reliable surveillance systems. This enables evidence-based decision-making to devise oral health policies. The World Health Organization (WHO) advocates the adoption of mobile technologies in oral disease surveillance because of their efficiency and ease of application. The study describes developing an electronic, oral health surveillance system (EOHSS) for preschoolers in Egypt, using the District Health Information System (DHIS2) open-source platform along with its Android App, and assesses its feasibility in data acquisition.MethodsThe DHIS2 Server was configured for the DHIS2 Tracker Android Capture App to allow individual-level data entry. The EOHSS indicators were selected in line with the WHO Action Plan 2030. Two modalities for the EOHSS were developed based on clinical data capture: face-to-face and tele/asynchronous. Eight dentists in the pilot team collected 214 events using modality-specific electronic devices. The pilot's team's feedback was obtained regarding the EOHSS's feasibility in collecting data, and a time-motion study was conducted to assess workflow over two weeks. Independent t-test and Statistical Process Control techniques were used for data analysis.ResultsThe pilot team reported positive feedback on the structure of the EOHSS. Workflow adaptations were made to prioritize surveillance tasks by collecting data from caregivers before acquiring clinical data from children to improve work efficiency. A shorter data capture time was required during face-to-face modality (4.2 ± 0.7 min) compared to telemodality (5.1 ± 0.9 min), p < 0.001). The acquisition of clinical data accounted for 16.9% and 21.1% of the time needed for both modalities, respectively. The time required by the face-to-face modality showed random variation, and the tele-modality tasks showed a reduced time trend to perform tasks.ConclusionsThe DHIS2 provides a feasible solution for developing electronic, oral health surveillance systems. The one-minute difference in data capture time in telemodality compared to face-to-face indicates that despite being slightly more time-consuming, telemodality still shows promise for remote oral health assessments that is particularly valuable in areas with limited access to dental professionals, potentially expanding the reach of oral health screening programs.

Project description:BackgroundPopulation health interventions (PHIs) have the potential to improve the health of large populations by systematically addressing underlying conditions of poor health outcomes (i.e., social determinants of health) and reducing health inequities. Scaling-up may be one means of enhancing the impact of effective PHIs. However, not all scale-up attempts have been successful. In an attempt to help guide the process of successful scale-up of a PHI, we look to the organizational readiness for change theory for a new perspective on how we may better understand the scale-up pathway. Using the change theory, our goal was to develop the foundations of an evidence-based, theory-informed framework for a PHI, through a critical examination of various PHI scale-up experiences documented in the literature.MethodsWe conducted a multi-step, critical interpretive synthesis (CIS) to gather and examine insights from scale-up experiences detailed in peer-reviewed and grey literatures, with a focus on PHIs from a variety of global settings. The CIS included iterative cycles of systematic searching, sampling, data extraction, critiquing, interpreting, coding, reflecting, and synthesizing. Theories relevant to innovations, complexity, and organizational readiness guided our analysis and synthesis.ResultsWe retained and examined twenty different PHI scale-up experiences, which were extracted from 77 documents (47 peer-reviewed, 30 grey literature) published between 1995 and 2013. Overall, we identified three phases (i.e., Groundwork, Implementing Scale-up, and Sustaining Scale-up), 11 actions, and four key components (i.e., PHI, context, capacity, stakeholders) pertinent to the scale-up process. Our guiding theories provided explanatory power to various aspects of the scale-up process and to scale-up success, and an alternative perspective to the assessment of scale-up readiness for a PHI.ConclusionOur synthesis provided the foundations of the Scale-up Readiness Assessment Framework. Our theoretically-informed and rigorous synthesis methodology permitted identification of disparate processes involved in the successful scale-up of a PHI. Our findings complement the guidance and resources currently available, and offer an added perspective to assessing scale-up readiness for a PHI.

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Dataset Information

Framework synthesis to inform the ideation and design of a paper-based health information system (PHISICC).

Background

Methods

Results

Conclusion

Publications

Framework synthesis to inform the ideation and design of a paper-based health information system (PHISICC).

Similar Datasets

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