scholarly journals Improving the quality of EHR recording in primary care: a data quality feedback tool

2016 ◽  
Vol 24 (1) ◽  
pp. 81-87 ◽  
Author(s):  
Sjoukje van der Bij ◽  
Nasra Khan ◽  
Petra ten Veen ◽  
Dinny H de Bakker ◽  
Robert A Verheij

Objective: Electronic health record (EHR) data are used to exchange information among health care providers. For this purpose, the quality of the data is essential. We developed a data quality feedback tool that evaluates differences in EHR data quality among practices and software packages as part of a larger intervention. Methods: The tool was applied in 92 practices in the Netherlands using different software packages. Practices received data quality feedback in 2010 and 2012. Results: We observed large differences in the quality of recording. For example, the percentage of episodes of care that had a meaningful diagnostic code ranged from 30% to 100%. Differences were highly related to the software package. A year after the first measurement, the quality of recording had improved significantly and differences decreased, with 67% of the physicians indicating that they had actively changed their recording habits based on the results of the first measurement. About 80% found the feedback helpful in pinpointing recording problems. One of the software vendors made changes in functionality as a result of the feedback. Conclusions: Our EHR data quality feedback tool is capable of highlighting differences among practices and software packages. As such, it also stimulates improvements. As substantial variability in recording is related to the software package, our study strengthens the evidence that data quality can be improved substantially by standardizing the functionalities of EHR software packages.

2018 ◽  
Author(s):  
Robab Abdolkhani ◽  
Kathleen Gray ◽  
Ann Borda ◽  
Ruth De Souza

BACKGROUND The proliferation of advanced wearable medical technologies is increasing the production of Patient-Generated Health Data (PGHD). However, there is lack of evidence on whether the quality of the data generated from wearables can be effectively used for patient care. In order for PGHD to be utilized for decision making by health providers, it needs to be of high quality, that is, it must comply with standards defined by health care organizations and be accurate, consistent, complete and unbiased. Although medical wearables record highly accurate data, there are other technology issues as well as human factors that affect PGHD quality when it is collected and shared under patients’ control to ultimately used by health care providers. OBJECTIVE This paper explores human factors and technology factors that impact on the quality of PGHD from medical wearables for effective use in clinical care. METHODS We conducted semi-structured interviews with 17 PGHD stakeholders in Australia, the US, and the UK. Participants include ten health care providers working with PGHD from medical wearables in diabetes, sleep disorders, and heart arrhythmia, five health IT managers, and two executives. The participants were interviewed about seven data quality dimensions including accuracy, accessibility, coherence, institutional environment, interpretability, relevancy, and timeliness. Open coding of the interview data identified several technology and human issues related to the data quality dimensions regarding the clinical use of PGHD. RESULTS The overarching technology issues mentioned by participants include lack of advanced functionalities such as real-time alerts for patients as well as complicated settings which can result in errors. In terms of PGHD coherence, different wearables have different data capture mechanisms for the same health condition that create different formats which result in difficult PGHD interpretation and comparison. Another technology issue that is relevant to the current ICT infrastructure of the health care settings is lack of possibility in real-time PGHD access by health care providers which reduce the value of PGHD use. Besides, health care providers addressed a challenge on where PGHD is stored and who truthfully owns the data that affect the feasibility of PGHD access. The human factors included a lack of digital health literacy among patients which shape both the patients’ motivation and their behaviors toward PGHD collection. For example, the gaps in data recording shown in the results indicate the wearable was not used for a time duration. Participants also identified the cost of devices as a barrier to the long-term engagement and use of wearables. CONCLUSIONS Using PGHD garnered from medical wearables is problematic in clinical contexts due to low-quality data influenced by technology and human factors. At present, no guidelines have been defined to assess PGHD quality. Hence, there is a need for new solutions to overcome the existing technology and human-related barriers to enhance PGHD quality.


2020 ◽  
Author(s):  
Cristina Costa-Santos ◽  
Ana Luísa Neves ◽  
Ricardo Correia ◽  
Paulo Santos ◽  
Matilde Monteiro-Soares ◽  
...  

AbstractBackgroundHigh-quality data is crucial for guiding decision making and practicing evidence-based healthcare, especially if previous knowledge is lacking. Nevertheless, data quality frailties have been exposed worldwide during the current COVID-19 pandemic. Focusing on a major Portuguese surveillance dataset, our study aims to assess data quality issues and suggest possible solutions.MethodsOn April 27th 2020, the Portuguese Directorate-General of Health (DGS) made available a dataset (DGSApril) for researchers, upon request. On August 4th, an updated dataset (DGSAugust) was also obtained. The quality of data was assessed through analysis of data completeness and consistency between both datasets.ResultsDGSAugust has not followed the data format and variables as DGSApril and a significant number of missing data and inconsistencies were found (e.g. 4,075 cases from the DGSApril were apparently not included in DGSAugust). Several variables also showed a low degree of completeness and/or changed their values from one dataset to another (e.g. the variable ‘underlying conditions’ had more than half of cases showing different information between datasets). There were also significant inconsistencies between the number of cases and deaths due to COVID-19 shown in DGSAugust and by the DGS reports publicly provided daily.ConclusionsThe low quality of COVID-19 surveillance datasets limits its usability to inform good decisions and perform useful research. Major improvements in surveillance datasets are therefore urgently needed - e.g. simplification of data entry processes, constant monitoring of data, and increased training and awareness of health care providers - as low data quality may lead to a deficient pandemic control.


2020 ◽  
Vol 3 ◽  
pp. 1-8
Author(s):  
H. C. Okeke ◽  
P. Bassey ◽  
O. A. Oduwole ◽  
A. Adindu

Different mix of clients visit primary health care (PHC) facilities, and the quality of services is critical even in rural communities. The study objective was to determine the relationship between socio-demographic characteristics and client satisfaction with the quality of PHC services in Calabar Municipality, Cross River State, Nigeria. Specifically to describe aspects of the health facilities that affect client satisfaction; determine the health-care providers’ attitude that influences client satisfaction; and determine the socio-demographic characteristics that influence client satisfaction with PHC services. A cross-sectional survey was adopted. Ten PHCs and 500 clients utilizing services in PHC centers in Calabar Municipality were randomly selected. Clients overall satisfaction with PHC services was high (80.8%). Divorced clients were less (75.0%) satisfied than the singles and the married counterparts (81%), respectively. Clients that were more literate as well as those with higher income were less satisfied, 68.0% and 50.0%, respectively, compared to the less educated and lower-income clients, 92.0% and 85.0% respectively. These differences in satisfaction were statistically significant (P = 0.001). Hence, it was shown that client characteristics such as income and literacy level show a significant negative relationship with the clients satisfaction with the quality of PHC services in Calabar Municipality.


2003 ◽  
Vol 42 (02) ◽  
pp. 185-189 ◽  
Author(s):  
R. Haux ◽  
C. Kulikowski ◽  
A. Bohne ◽  
R. Brandner ◽  
B. Brigl ◽  
...  

Summary Objectives: The Yearbook of Medical Informatics is published annually by the International Medical Informatics Association (IMIA) and contains a selection of excellent papers on medical informatics research which have been recently published (www.yearbook.uni-hd.de). The 2003 Yearbook of Medical Informatics took as its theme the role of medical informatics for the quality of health care. In this paper, we will discuss challenges for health care, and the lessons learned from editing IMIA Yearbook 2003. Results and Conclusions: Modern information processing methodology and information and communication technology have strongly influenced our societies and health care. As a consequence of this, medical informatics as a discipline has taken a leading role in the further development of health care. This involves developing information systems that enhance opportunities for global access to health services and medical knowledge. Informatics methodology and technology will facilitate high quality of care in aging societies, and will decrease the possibilities of health care errors. It will also enable the dissemination of the latest medical and health information on the web to consumers and health care providers alike. The selected papers of the IMIA Yearbook 2003 present clear examples and future challenges, and they highlight how various sub-disciplines of medical informatics can contribute to this.


Author(s):  
Eva Visser ◽  
Brenda Leontine Den Oudsten ◽  
Taco Gosens ◽  
Paul Lodder ◽  
Jolanda De Vries

Abstract Background The course and corresponding characteristics of quality of life (QOL) domains in trauma population are unclear. Our aim was to identify longitudinal QOL trajectories and determine and predict the sociodemographic, clinical, and psychological characteristics of trajectory membership in physical trauma patients using a biopsychosocial approach. Methods Patients completed a questionnaire set after inclusion, and at 3, 6, 9, and 12 months follow-up. Trajectories were identified using repeated-measures latent class analysis. The trajectory characteristics were ranked using Cohen’s d effect size or phi coefficient. Results Altogether, 267 patients were included. The mean age was 54.1 (SD = 16.1), 62% were male, and the median injury severity score was 5.0 [2.0—9.0]. Four latent trajectories were found for psychological health and environment, five for physical health and social relationships, and seven trajectories were found for overall QOL and general health. The trajectories seemed to remain stable over time. For each QOL domain, the identified trajectories differed significantly in terms of anxiety, depressive symptoms, acute stress disorder, post-traumatic stress disorder, Neuroticism, trait anxiety, Extraversion, and Conscientiousness. Discussion Psychological factors characterized the trajectories during 12 months after trauma. Health care providers can use these findings to identify patients at risk for impaired QOL and offer patient-centered care to improve QOL.


2021 ◽  
Vol 8 ◽  
pp. 233339282110183
Author(s):  
Tariku Shimels ◽  
Abrham Getachew ◽  
Mekdim Tadesse ◽  
Alison Thompson

Introduction: Transplantation is the optimal management for patients with end-stage renal disease. In Ethiopia, the first national kidney transplantation center was opened at St. Paul’s Hospital Millennium Medical College in September 2015. The aim of this study was to explore providers’ views and experiences of the past to present at this center. Methods: A qualitative study design was employed from 1st November to 15th December, 2019. To ensure that appropriate informants would provide rich study data, 8 health care providers and top management members were purposefully chosen for in-depth interviews. A maximum variation sampling method was considered to include a representative sample of informants. Interviews were digitally audio-recorded, and transcribed verbatim. Transcribed data was coded and analyzed using Qualitative Data Analysis (QDA) Minor Lite software and Microsoft-Excel. Result: The participants (5 males and 3 females) approached were from different departments of the renal transplant center, and the main hospital. Eight main themes and 18 sub-themes were generated initially from all interviews totaling to 109 index codes. Further evaluation and recoding retained 5 main themes, and 14 sub-themes. The main themes are; challenges experienced during and after launching the center, commitment, sympathy and satisfaction, outcomes of renal transplant, actions to improve the quality of service, and how the transplant center should operate. Providers claim that they discharge their responsibilities through proper commitment and compassion, paying no attention to incentive packages. They also explained that renal transplantation would have all the outcomes related to economic, humanistic and clinical facets. Conclusion and Recommendation: A multitude of challenges were faced during and after the establishment of the first renal transplant center in Ethiopia. Providers discharge their responsibility through a proper compassion for patients. Concerned stakeholders should actively collaborate to improve the quality of renal transplant services in the center.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Villadsen ◽  
S Dias

Abstract For complex public health interventions to be effective their implementation needs to adapt to the situation of those implementing and those receiving the intervention. While context matter for intervention implementation and effect, we still insist on learning from cross-country comparison of implementation. Next methodological challenges include how to increase learning from implementation of complex public health interventions from various context. The interventions presented in this workshop all aims to improve quality of reproductive health care for immigrants, however with different focus: contraceptive care in Sweden, group based antenatal care in France, and management of pregnancy complications in Denmark. What does these interventions have in common and are there cross cutting themes that help us to identify the larger challenges of reproductive health care for immigrant women in Europe? Issues shared across the interventions relate to improved interactional dynamics between women and the health care system, and theory around a woman-centered approach and cultural competence of health care providers and systems might enlighten shared learnings across the different interventions and context. Could the mechanisms of change be understood using theoretical underpinnings that allow us to better generalize the finding across context? What adaption would for example be needed, if the Swedish contraceptive intervention should work in a different European setting? Should we distinguish between adaption of function and form, where the latter might be less important for intervention fidelity? These issues will shortly be introduced during this presentation using insights from the three intervention presentations and thereafter we will open up for discussion with the audience.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hannah Maria Jennings ◽  
Joanna Morrison ◽  
Kohenour Akter ◽  
Hassan Haghparast-Bidgoli ◽  
Carina King ◽  
...  

Abstract Background Type 2 diabetes mellitus poses a major health challenge worldwide and in low-income countries such as Bangladesh, however little is known about the care-seeking of people with diabetes. We sought to understand the factors that affect care-seeking and diabetes management in rural Bangladesh in order to make recommendations as to how care could be better delivered. Methods Survey data from a community-based random sample of 12,047 adults aged 30 years and above identified 292 individuals with a self-reported prior diagnosis of diabetes. Data on health seeking practices regarding testing, medical advice, medication and use of non-allopathic medicine were gathered from these 292 individuals. Qualitative semi-structured interviews and focus group discussions with people with diabetes and semi-structured interviews with health workers explored care-seeking behaviour, management of diabetes and perceptions on quality of care. We explore quality of care using the WHO model with the following domains: safe, effective, patient-centred, timely, equitable and efficient. Results People with diabetes who are aware of their diabetic status do seek care but access, particularly to specialist diabetes services, is hindered by costs, time, crowded conditions and distance. Locally available services, while more accessible, lack infrastructure and expertise. Women are less likely to be diagnosed with diabetes and attend specialist services. Furthermore costs of care and dissatisfaction with health care providers affect medication adherence. Conclusion People with diabetes often make a trade-off between seeking locally available accessible care and specialised care which is more difficult to access. It is vital that health services respond to the needs of patients by building the capacity of local health providers and consider practical ways of supporting diabetes care. Trial registration ISRCTN41083256. Registered on 30/03/2016.


2019 ◽  
Vol 2 (1) ◽  
pp. 53-56
Author(s):  
Gustavo Ferrer ◽  
Chi Chan Lee ◽  
Monica Egozcue ◽  
Hector Vazquez ◽  
Melissa Elizee ◽  
...  

Background: During the process of transition of care from the intensive care setting, clarity, and understanding are vital to a patient's outcome. A successful transition of care requires collaboration between health-care providers and the patient's family. The objective of this project was to assess the quality of continuity of care with regard to family perceptions, education provided, and psychological stress during the process. Methods: A prospective study conducted in a long-term acute care (LTAC) facility. On admission, family members of individuals admitted to the LTAC were asked to fill out a 15-item questionnaire with regard to their experiences from preceding intensive care unit (ICU) hospitalization. The setting was an LTAC facility. Patients were admitted to an LTAC after ICU admission. Results: Seventy-six participants completed the questionnaire: 38% expected a complete recovery, 61% expected improvement with disabilities, and 1.3% expected no recovery. With regard to the length of stay in the LTAC, 11% expected < 1 week, 26% expected 1 to 2 weeks, 21% expected 3 to 4 weeks, and 42% were not sure. Before ICU discharge, 33% of the participants expected the transfer to the LTAC. Also, 72% did not report a satisfactory level of knowledge regarding their family's clinical condition or medical services required; 21% did not receive help from family members; and 50% reported anxiety, 20% reported depression, and 29% reported insomnia. Conclusion: Families' perception of patients' prognosis and disposition can be different from what was communicated by the physician. Families' anxiety and emotional stress may precipitate this discrepancy. The establishment of optimal projects to eliminate communication barriers and educate family members will undoubtedly improve the quality of transition of care from the ICU.


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