1
|
Savill M, Loewy RL, Niendam TA, Porteus AJ, Rosenthal A, Gobrial S, Meyer M, Bolden KA, Lesh TA, Ragland JD, Carter CS. The diagnostic accuracy of screening for psychosis spectrum disorders in behavioral health clinics integrated into primary care. Schizophr Res 2024; 266:190-196. [PMID: 38422889 PMCID: PMC11140870 DOI: 10.1016/j.schres.2024.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 01/29/2024] [Accepted: 02/10/2024] [Indexed: 03/02/2024]
Abstract
Screening for psychosis spectrum disorders in primary care could improve early identification and reduce the duration of untreated psychosis. However, the accuracy of psychosis screening in this setting is unknown. To address this, we conducted a diagnostic accuracy study of screening for psychosis spectrum disorders in eight behavioral health services integrated into primary care clinics. Patients attending an integrated behavioral health appointment at their primary care clinic completed the Prodromal Questionnaire - Brief (PQ-B) immediately prior to their intake assessment. This was compared to a diagnostic phone interview based on the Structured Interview for Psychosis Risk Syndromes (SIPS). In total, 145 participants completed all study procedures, of which 100 screened positive and 45 negative at a provisional PQ-B threshold of ≥20. The PQ-B was moderately accurate at differentiating psychosis spectrum from no psychosis spectrum disorders; a PQ-B distress score of ≥27 had a sensitivity and specificity of 71.2 % and 57.0 % respectively. In total, 66 individuals (45.5 %) met criteria for a psychosis spectrum disorder and 24 (16.7 %) were diagnosed with full psychosis, indicating a high prevalence of psychosis in the sample. Overall, screening for psychosis spectrum disorders in an IBH primary care setting identified a relatively high number of individuals and may identify people that would otherwise be missed. The PQ-B performed slightly less well than in population-based screening in community mental health settings. However, the findings suggest this may represent an effective way to streamline the pathway between specialty early psychosis programs and primary care clinics for those in need.
Collapse
Affiliation(s)
- Mark Savill
- University of California, Davis, United States of America.
| | - Rachel L Loewy
- University of California, San Francisco, United States of America
| | - Tara A Niendam
- University of California, Davis, United States of America
| | | | - Adi Rosenthal
- University of California, Davis, United States of America
| | - Sarah Gobrial
- University of California, Davis, United States of America
| | - Monet Meyer
- University of California, Davis, United States of America
| | | | - Tyler A Lesh
- University of California, Davis, United States of America
| | | | | |
Collapse
|
2
|
Wang L, Chao J, Wu Y, Zhang N, Bao M. Social integration and utilization of national basic public health services among China's internal migrants with chronic diseases: A structural equation modelling approach. Heliyon 2024; 10:e25797. [PMID: 38352800 PMCID: PMC10862671 DOI: 10.1016/j.heliyon.2024.e25797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 01/28/2024] [Accepted: 02/02/2024] [Indexed: 02/16/2024] Open
Abstract
Internal migrants with chronic diseases (IMCDs) are a specific subgroup of the internal migrants, but few studies have focused on health service utilization among this group. Social integration is an essential element in the maintenance of health and well-being in migrants. However, the measurement of social integration remains inconsistent. This study aimed to measure social integration more comprehensively and evaluate the association between social integration and National Basic Public Health Services (NBPHS) utilization among IMCDs in China, thereby providing theoretical support for health promotion among IMCDs. The data of this study were obtained from the China Migrants Dynamic Survey (CMDS) in 2017. A total of 9272 internal migrants who self-reported hypertension and/or type 2 diabetes were included in the analysis. Four factors were extracted through exploratory factor analysis to measure the social integration of IMCDs: psychological identity, community involvement, social security, and sociocultural adaptation. The results show the IMCDs underutilized NBPHS, with 26.80 % stating that they have not used any of the services in the NBPHS. We confirmed the positive association between social integration and NBPHS use among IMCDs. The social integration of IMCDs in developed regions was relatively worse than in developing regions, further exacerbating the underutilization of NBPHS in developed regions. Therefore, targeted government measures and supportive policies are necessary, especially in developed regions, to encourage IMCDs to participate in social organizations and community activities and stimulate their active participation in the NBPHS.
Collapse
Affiliation(s)
- Leixia Wang
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, 210096, China
| | - Jianqian Chao
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, 210096, China
| | - Yanqian Wu
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, 210096, China
| | - Na Zhang
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, 210096, China
| | - Min Bao
- Health Management Research Center, School of Public Health, Southeast University, Nanjing, Jiangsu, 210096, China
| |
Collapse
|
3
|
Huang JS, Cruz R, Schwarz KB, Tran T. Improving Hepatitis B Screening at Family Health Centers Using Quality Improvement and Electronic Medical Record Tools. J Pediatr Gastroenterol Nutr 2023; 77:121-125. [PMID: 37326849 DOI: 10.1097/mpg.0000000000003791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Chronic hepatitis B viral (HBV) infection is associated with significant morbidity and mortality with endemic areas carrying most of the global burden of HBV disease. Current HBV screening rates in the United States are suboptimal. We aimed to improve HBV screening rates at regional family health centers serving high-risk refugee populations by 20% over 2 years. We used quality improvement (QI) methodology and implemented interventions providing electronic medical record (EMR)-enabled HBV screening tools within known clinical workflows. EMR tools captured country-of-origin data to identify persons from HBV-endemic regions with provision of a laboratory order set to ensure performance of appropriate HBV screening tests. The project was initiated prior to the COVID pandemic but continued during the pandemic with imposed social isolation measures. We nevertheless demonstrated 4 statistical process control chart shifts and achieved our QI smart aim. Further, we demonstrated a high HBV detection rate (8.2%-12.8%) among persons identified for screening.
Collapse
Affiliation(s)
- Jeannie S Huang
- From Rady Children's Hospital, University of California San Diego, La Jolla, CA
| | - Rusvelda Cruz
- From Rady Children's Hospital, University of California San Diego, La Jolla, CA
| | - Kathleen B Schwarz
- From Rady Children's Hospital, University of California San Diego, La Jolla, CA
| | - Thao Tran
- Family Health Centers of San Diego, San Diego, CA
| |
Collapse
|
4
|
Fletcher E, Burns A, Wiering B, Lavu D, Shephard E, Hamilton W, Campbell JL, Abel G. Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review. BMC PRIMARY CARE 2023; 24:23. [PMID: 36670354 PMCID: PMC9857918 DOI: 10.1186/s12875-023-01973-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 01/05/2023] [Indexed: 01/21/2023]
Abstract
BACKGROUND Electronic clinical decision support tools (eCDS) are increasingly available to assist General Practitioners (GP) with the diagnosis and management of a range of health conditions. It is unclear whether the use of eCDS tools has an impact on GP workload. This scoping review aimed to identify the available evidence on the use of eCDS tools by health professionals in general practice in relation to their impact on workload and workflow. METHODS A scoping review was carried out using the Arksey and O'Malley methodological framework. The search strategy was developed iteratively, with three main aspects: general practice/primary care contexts, risk assessment/decision support tools, and workload-related factors. Three databases were searched in 2019, and updated in 2021, covering articles published since 2009: Medline (Ovid), HMIC (Ovid) and Web of Science (TR). Double screening was completed by two reviewers, and data extracted from included articles were analysed. RESULTS The search resulted in 5,594 references, leading to 95 full articles, referring to 87 studies, after screening. Of these, 36 studies were based in the USA, 21 in the UK and 11 in Australia. A further 18 originated from Canada or Europe, with the remaining studies conducted in New Zealand, South Africa and Malaysia. Studies examined the use of eCDS tools and reported some findings related to their impact on workload, including on consultation duration. Most studies were qualitative and exploratory in nature, reporting health professionals' subjective perceptions of consultation duration as opposed to objectively-measured time spent using tools or consultation durations. Other workload-related findings included impacts on cognitive workload, "workflow" and dialogue with patients, and clinicians' experience of "alert fatigue". CONCLUSIONS The published literature on the impact of eCDS tools in general practice showed that limited efforts have focused on investigating the impact of such tools on workload and workflow. To gain an understanding of this area, further research, including quantitative measurement of consultation durations, would be useful to inform the future design and implementation of eCDS tools.
Collapse
Affiliation(s)
- Emily Fletcher
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| | - Alex Burns
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| | - Bianca Wiering
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| | - Deepthi Lavu
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| | - Elizabeth Shephard
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| | - Willie Hamilton
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| | - John L. Campbell
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| | - Gary Abel
- grid.8391.30000 0004 1936 8024College of Medicine and Health, University of Exeter Medical School, St Luke’s Campus, Heavitree Road, Exeter, Devon EX1 2LU England
| |
Collapse
|
5
|
Synergistic Effect of Medical Information Systems Integration: To What Extent Will It Affect the Accuracy Level in the Reports and Decision-Making Systems? INFORMATICS 2023. [DOI: 10.3390/informatics10010012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Nowadays, according to the intention of many hospitals and medical centers to computerize their processes and medical treatments, including data forms and medical images, which are generating a considerable amount of data, IT specialists and data scientists who are oriented to eHealth and related issues know the importance of data integration and its benefits. This study indicates the significance of data integration, especially in medical information systems. It means that the medical subsystems in the HIS (hospital information system) must be integrated, and it is also necessary to unify with the MIS (management information system). In this paper, the accuracy level of the extracted reports from the information system (to evaluate the staff’s performance) will be measured in two ways: (1) At first, the performance of the clinic reception staff will be evaluated. In this way, the personnel attendance system is an independent and separate software, and the mentioned evaluation has been performed by its report. (2) The following year, in the same location, the same evaluation has been performed based on the data extracted from the personnel attendance subsystem, which has been added to the medical information system as an integrated information system. After comparing the accuracy level of both ways, this paper concludes that when the personnel attendance subsystem as a part of the MIS has been unified with the HIS, the reports and, consequently, management decisions will be more accurate; therefore, the managers and decision-makers will perceive the importance of data integration more than in the past.
Collapse
|
6
|
Peer Y, Koren A. Facilitators and barriers for implementing the integrated behavioural health care model in the USA: An integrative review. Int J Ment Health Nurs 2022; 31:1300-1314. [PMID: 35637556 DOI: 10.1111/inm.13027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/29/2022] [Indexed: 11/28/2022]
Abstract
The integrated behavioural health care (IBHC) model incorporates mental health services with primary care. This service model is widely advocated due to its increasing access to health care and cost-saving. By connecting individuals with mental illnesses with a primary care provider, this model of care promotes collaboration between interdisciplinary teams, and therefore, increases health equity, decreases stigma, and increases patient satisfaction. This integrative review aimed to examine and synthesize available literature on facilitators and barriers related to the IBHC model implementation in the United States. An integrative review methodology by Whittemore and Knafl was utilized, and data evaluation was based on the JBI Critical Appraisal Checklist. The social-ecological model guided the review. Twenty-two articles were analysed, and nine themes were identified, which were further organized according to the five levels of the social-ecological model and consisted of intrapersonal level - patient-centered care; interpersonal level - relationships; community level - physical accessibility; organizational level - operation and infrastructure, team approach, training in behavioural health, electronic medical record, and staffing; and policy level - funds and health insurance. Most facilitating factors were on the organizational level and related to infrastructure, team approach, patient-centered care, and the most noted barrier was poor relationships. Nurses can increase engagement in integrated care by assuming roles that oversee patient care, foster professional collaborations, and improve relationships. Future research should focus on vulnerable populations this model serves, patients' perspectives, and the effect of telehealth.
Collapse
Affiliation(s)
- Yifat Peer
- Susan and Alan Solomont School of Nursing, University of Massachusetts - Lowell, Lowell, Massachusetts, USA
| | - Ainat Koren
- Susan and Alan Solomont School of Nursing, University of Massachusetts - Lowell, Lowell, Massachusetts, USA
| |
Collapse
|
7
|
Kariotis TC, Prictor M, Chang S, Gray K. Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review. J Med Internet Res 2022; 24:e30405. [PMID: 35507393 PMCID: PMC9118021 DOI: 10.2196/30405] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/14/2021] [Accepted: 01/13/2022] [Indexed: 01/20/2023] Open
Abstract
Background The adoption of electronic health records (EHRs) and electronic medical records (EMRs) has been slow in the mental health context, partly because of concerns regarding the collection of sensitive information, the standardization of mental health data, and the risk of negatively affecting therapeutic relationships. However, EHRs and EMRs are increasingly viewed as critical to improving information practices such as the documentation, use, and sharing of information and, more broadly, the quality of care provided. Objective This paper aims to undertake a scoping review to explore the impact of EHRs on information practices in mental health contexts and also explore how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs in mental health contexts. Methods We considered a scoping review to be the most appropriate method for this review because of the relatively recent uptake of EHRs in mental health contexts. A comprehensive search of electronic databases was conducted with no date restrictions for articles that described the use of EHRs, EMRs, or associated systems in the mental health context. One of the authors reviewed all full texts, with 2 other authors each screening half of the full-text articles. The fourth author mediated the disagreements. Data regarding study characteristics were charted. A narrative and thematic synthesis approach was taken to analyze the included studies’ results and address the research questions. Results The final review included 40 articles. The included studies were highly heterogeneous with a variety of study designs, objectives, and settings. Several themes and subthemes were identified that explored the impact of EHRs on information practices in the mental health context. EHRs improved the amount of information documented compared with paper. However, mental health–related information was regularly missing from EHRs, especially sensitive information. EHRs introduced more standardized and formalized documentation practices that raised issues because of the focus on narrative information in the mental health context. EHRs were found to disrupt information workflows in the mental health context, especially when they did not include appropriate templates or care plans. Usability issues also contributed to workflow concerns. Managing the documentation of sensitive information in EHRs was problematic; clinicians sometimes watered down sensitive information or chose to keep it in separate records. Concerningly, the included studies rarely involved service user perspectives. Furthermore, many studies provided limited information on the functionality or technical specifications of the EHR being used. Conclusions We identified several areas in which work is needed to ensure that EHRs benefit clinicians and service users in the mental health context. As EHRs are increasingly considered critical for modern health systems, health care decision-makers should consider how EHRs can better reflect the complexity and sensitivity of information practices and workflows in the mental health context.
Collapse
Affiliation(s)
- Timothy Charles Kariotis
- School of Computing and Information Systems, University of Melbourne, Parkville, Australia.,Melbourne School of Government, The University of Melbourne, Carlton, Australia
| | - Megan Prictor
- Melbourne Law School, University of Melbourne, Carlton, Australia.,Centre for Digital Transformation of Health, University of Melbourne, Parkville, Australia
| | - Shanton Chang
- School of Computing and Information Systems, University of Melbourne, Parkville, Australia
| | - Kathleen Gray
- Centre for Digital Transformation of Health, University of Melbourne, Parkville, Australia
| |
Collapse
|
8
|
Willis VC, Thomas Craig KJ, Jabbarpour Y, Scheufele EL, Arriaga YE, Ajinkya M, Rhee KB, Bazemore A. Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review. JMIR Med Inform 2022; 10:e33518. [PMID: 35060909 PMCID: PMC8817213 DOI: 10.2196/33518] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/19/2021] [Accepted: 12/04/2021] [Indexed: 12/20/2022] Open
Abstract
Background Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated. Objective This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings. Methods A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted. Results The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low. Conclusions Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.
Collapse
Affiliation(s)
- Van C Willis
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Kelly Jean Thomas Craig
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Yalda Jabbarpour
- Policy Studies in Family Medicine and Primary Care, The Robert Graham Center, American Academy of Family Physicians, Washington, DC, United States
| | - Elisabeth L Scheufele
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Yull E Arriaga
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Monica Ajinkya
- Policy Studies in Family Medicine and Primary Care, The Robert Graham Center, American Academy of Family Physicians, Washington, DC, United States
| | - Kyu B Rhee
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Andrew Bazemore
- The American Board of Family Medicine, Lexington, KY, United States
| |
Collapse
|
9
|
McCabe CF, Wood GC, Franceschelli-Hosterman J, Cochran WJ, Savage JS, Bailey-Davis L. Patient-reported outcome measures can advance population health, but is access to instruments and use equitable? Front Pediatr 2022; 10:892947. [PMID: 36330368 PMCID: PMC9622997 DOI: 10.3389/fped.2022.892947] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 09/28/2022] [Indexed: 11/13/2022] Open
Abstract
Patient reported outcome measures (PROM) can engage patients and clinicians to improve health outcomes. Their population health impact may be limited by systematic barriers inhibiting access to completion. In this analysis we evaluated the association between individual parent/child characteristics and clinic factors with parental completion of a locally developed PROM, the Early Healthy Lifestyles (EHL) questionnaire. Participants included parent-child dyads who presented at 14 pediatric clinics for regularly scheduled well-child visits (WCV) prior to age 26 months. EHL items include feeding practices, diet, play time, screen exposure, and sleep. Completion was categorized at patient- (i.e., parent-child dyad) and clinic-levels. Parents completed the 15-item EHL in the patient portal before arrival or in the clinic; ninety-three percent of EHL questionnaires were completed in the clinic vs. 7% in the patient portal. High-completers completed EHL for half of WCVs; low-completers completed at least once; and non-completers never completed. Clinics were classified by EHL adoption level (% high completion): High-adoption: >50%; Moderate-adoption: 10%-50%; and Low-adoption: <10%. Individual-level factors had negligible impact on EHL completion within moderate/low EHL adoption sites; high-adoption sites were used to evaluate infant and maternal factors in association with EHL completion using hierarchical logistic regression. Noncompletion of EHL was significantly associated (p < 0.05) with infant use of public insurance (OR = 1.92 [1.42, 2.59]), >1 clinic site for WCV (OR = 1.83 [1.34, 2.50]), non-White birth mother (OR = 1.78 [1.28, 2.47]), and body weight <2,500 grams or gestational age <34 weeks (OR = 1.74 [1.05, 2.90]). The number of WCVs, a proxy for clinic size, was evaluated but was not associated with completion. Findings indicate potential disparities between populations exposed to, completing, and benefitting from these tools.
Collapse
Affiliation(s)
- Carolyn F McCabe
- Geisinger Obesity Institute, Danville, PA, United States.,Population Health Sciences, Geisinger, Danville, PA, United States
| | - G Craig Wood
- Geisinger Obesity Institute, Danville, PA, United States
| | - Jennifer Franceschelli-Hosterman
- Geisinger Obesity Institute, Danville, PA, United States.,Nutrition and Weight Management, Geisinger Medical Center, Danville, PA, United States
| | | | - Jennifer S Savage
- Nutritional Sciences, Center for Childhood Obesity Research, The Pennsylvania State University, University Park, PA, United States
| | - Lisa Bailey-Davis
- Geisinger Obesity Institute, Danville, PA, United States.,Population Health Sciences, Geisinger, Danville, PA, United States.,Nutritional Sciences, Center for Childhood Obesity Research, The Pennsylvania State University, University Park, PA, United States
| |
Collapse
|
10
|
Zurynski Y, Ellis LA, Tong HL, Laranjo L, Clay-Williams R, Testa L, Meulenbroeks I, Turton C, Sara G. Implementation of Electronic Medical Records in Mental Health Settings: Scoping Review. JMIR Ment Health 2021; 8:e30564. [PMID: 34491208 PMCID: PMC8456340 DOI: 10.2196/30564] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/15/2021] [Accepted: 07/22/2021] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND The success of electronic medical records (EMRs) is dependent on implementation features, such as usability and fit with clinical processes. The use of EMRs in mental health settings brings additional and specific challenges owing to the personal, detailed, narrative, and exploratory nature of the assessment, diagnosis, and treatment in this field. Understanding the determinants of successful EMR implementation is imperative to guide the future design, implementation, and investment of EMRs in the mental health field. OBJECTIVE We intended to explore evidence on effective EMR implementation for mental health settings and provide recommendations to support the design, adoption, usability, and outcomes. METHODS The scoping review combined two search strategies that focused on clinician-facing EMRs, one for primary studies in mental health settings and one for reviews of peer-reviewed literature in any health setting. Three databases (Medline, EMBASE, and PsycINFO) were searched from January 2010 to June 2020 using keywords to describe EMRs, settings, and impacts. The Proctor framework for implementation outcomes was used to guide data extraction and synthesis. Constructs in this framework include adoption, acceptability, appropriateness, feasibility, fidelity, cost, penetration, and sustainability. Quality assessment was conducted using a modified Hawker appraisal tool and the Joanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews and Research Syntheses. RESULTS This review included 23 studies, namely 12 primary studies in mental health settings and 11 reviews. Overall, the results suggested that adoption of EMRs was impacted by financial, technical, and organizational factors, as well as clinician perceptions of appropriateness and acceptability. EMRs were perceived as acceptable and appropriate by clinicians if the system did not interrupt workflow and improved documentation completeness and accuracy. Clinicians were more likely to value EMRs if they supported quality of care, were fit for purpose, did not interfere with the clinician-patient relationship, and were operated with readily available technical support. Evidence on the feasibility of the implemented EMRs was mixed; the primary studies and reviews found mixed impacts on documentation quality and time; one primary study found downward trends in adverse events, whereas a review found improvements in care quality. Five papers provided information on implementation outcomes such as cost and fidelity, and none reported on the penetration and sustainability of EMRs. CONCLUSIONS The body of evidence relating to EMR implementation in mental health settings is limited. Implementation of EMRs could benefit from methods used in general health settings such as co-designing the software and tailoring EMRs to clinical needs and workflows to improve usability and acceptance. Studies in mental health and general health settings rarely focused on long-term implementation outcomes such as penetration and sustainability. Future evaluations of EMRs in all settings should consider long-term impacts to address current knowledge gaps.
Collapse
Affiliation(s)
- Yvonne Zurynski
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,National Health and Medical Research Council Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Louise A Ellis
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,National Health and Medical Research Council Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Huong Ly Tong
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Liliana Laranjo
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Robyn Clay-Williams
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Luke Testa
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Isabelle Meulenbroeks
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,National Health and Medical Research Council Partnership Centre for Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Charmaine Turton
- Information for Mental Health, System Information and Analytics Branch, New South Wales Ministry of Health, St Leonards, Australia
| | - Grant Sara
- Information for Mental Health, System Information and Analytics Branch, New South Wales Ministry of Health, St Leonards, Australia.,Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
| |
Collapse
|
11
|
Scalia P, Ahmad F, Schubbe D, Forcino R, Durand MA, Barr PJ, Elwyn G. Integrating Option Grid Patient Decision Aids in the Epic Electronic Health Record: Case Study at 5 Health Systems. J Med Internet Res 2021; 23:e22766. [PMID: 33938806 PMCID: PMC8129884 DOI: 10.2196/22766] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 10/20/2020] [Accepted: 02/17/2021] [Indexed: 11/26/2022] Open
Abstract
Background Some researchers argue that the successful implementation of patient decision aids (PDAs) into clinical workflows depends on their integration into electronic health records (EHRs). Anecdotally, we know that EHR integration is a complex and time-consuming task; yet, the process has not been examined in detail. As part of an implementation project, we examined the work involved in integrating an encounter PDA for symptomatic uterine fibroids into Epic EHR systems. Objective This study aims to identify the steps and time required to integrate a PDA into the Epic EHR system and examine facilitators and barriers to the integration effort. Methods We conducted a case study at 5 academic medical centers in the United States. A clinical champion at each institution liaised with their Epic EHR team to initiate the integration of the uterine fibroid Option Grid PDAs into clinician-facing menus. We scheduled regular meetings with the Epic software analysts and an expert Epic technologist to discuss how best to integrate the tools into Epic for use by clinicians with patients. The meetings were then recorded and transcribed. Two researchers independently coded the transcripts and field notes before categorizing the codes and conducting a thematic analysis to identify the facilitators and barriers to EHR integration. The steps were reviewed and edited by an Epic technologist to ensure their accuracy. Results Integrating the uterine fibroid Option Grid PDA into clinician-facing menus required an 18-month timeline and a 6-step process, as follows: task priority negotiation with Epic software teams, security risk assessment, technical review, Epic configuration; troubleshooting, and launch. The key facilitators of the process were the clinical champions who advocated for integration at the institutional level and the presence of an experienced technologist who guided Epic software analysts during the build. Another facilitator was the use of an emerging industry standard app platform (Health Level 7 Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources) as a means of integrating the Option Grid into existing systems. This standard platform enabled clinicians to access the tools by using single sign-on credentials and prevented protected health information from leaving the EHR. Key barriers were the lack of control over the Option Grid product developed by EBSCO (Elton B Stephens Company) Health; the periodic Epic upgrades that can result in a pause on new software configurations; and the unforeseen software problems with Option Grid (ie, inability to print the PDA), which delayed the launch of the PDA. Conclusions The integration of PDAs into the Epic EHR system requires a 6-step process and an 18-month timeline. The process required support and prioritization from a clinical champion, guidance from an experienced technologist, and a willing EHR software developer team.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Glyn Elwyn
- Dartmouth College, Lebanon, NH, United States
| |
Collapse
|
12
|
Jung SY, Hwang H, Lee K, Lee D, Yoo S, Lim K, Lee HY, Kim E. User Perspectives on Barriers and Facilitators to the Implementation of Electronic Health Records in Behavioral Hospitals: Qualitative Study. JMIR Form Res 2021; 5:e18764. [PMID: 33830061 PMCID: PMC8063095 DOI: 10.2196/18764] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 11/23/2020] [Accepted: 03/16/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Despite the rapid adoption of electronic health records (EHRs) resulting from the reimbursement program of the US government, EHR adoption in behavioral hospitals is still slow, and there remains a lack of evidence regarding barriers and facilitators to the implementation of mental health care EHRs. OBJECTIVE The aim of this study is to analyze the experience of mental health professionals to explore the perceived barriers, facilitators, and critical ideas influencing the implementation and usability of a mental health care EHR. METHODS In this phenomenological qualitative study, we interviewed physicians, nurses, pharmacists, mental health clinicians, and administrative professionals separately at 4 behavioral hospitals in the United States. We conducted semistructured interviews (N=43) from behavioral hospitals involved in the adoption of the mental health care EHR. Purposeful sampling was used to maximize the diversity. Transcripts were coded and analyzed for emergent domains. An exploratory data analysis was conducted. RESULTS Content analyses revealed 7 barriers and 4 facilitators. The most important barriers to implementing the mental health care EHR were the low levels of computer proficiency among nurses, complexity of the system, alert fatigue, and resistance because of legacy systems. This led to poor usability, low acceptability, and distrust toward the system. The major facilitators to implementing the mental health care EHR were well-executed training programs, improved productivity, better quality of care, and the good usability of the mental health care EHR. CONCLUSIONS Health care professionals expected to enhance their work productivity and interprofessional collaboration by introducing the mental health care EHR. Routine education for end users is an essential starting point for the successful implementation of mental health care EHR electronic decision support. When adopting the mental health care EHR, managers need to focus on common practices in behavioral hospitals, such as documenting structured data in their organizations and adopting a seamless workflow of mental health care into the system.
Collapse
Affiliation(s)
- Se Young Jung
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hee Hwang
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Keehyuck Lee
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Donghyun Lee
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Sooyoung Yoo
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Kahyun Lim
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Ho-Young Lee
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Eric Kim
- Signature Healthcare Services, Los Angelis, CA, United States
| |
Collapse
|
13
|
Farber BF, Vethantham V, Malhotra P. Streamlining Electronic Medical Records: Remove the Copy-Forward Option. South Med J 2021; 113:505-506. [PMID: 33005966 DOI: 10.14423/smj.0000000000001153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Bruce F Farber
- From the Division of Infectious Diseases, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, and Syosset, New York
| | - Vasupradha Vethantham
- From the Division of Infectious Diseases, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, and Syosset, New York
| | - Prashant Malhotra
- From the Division of Infectious Diseases, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, and Syosset, New York
| |
Collapse
|
14
|
Jetelina KK, Oke O, Rodriguez P, Weerakoon SM, Barlow SE. Implementation of a telehealth-enhanced home visiting programme for families of young children. J Telemed Telecare 2020; 28:266-279. [PMID: 32772762 DOI: 10.1177/1357633x20938282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Health systems are applying innovative solutions, such as telehealth and home visiting, to reduce unnecessary healthcare utilization, including emergency department (ED) visits. A large paediatric healthcare system implemented a telehealth-enhanced home visiting programme as an extension of primary care services. The purpose of this paper is three-fold: (1) Examine the process of implementation and the intermediate clinical outcomes; (2) Evaluate patient experiences and acceptability of the programme post-implementation; (3) Identify system, clinic and patient factors influencing implementation of the home visiting programme. METHODS Implementation of the telehealth-enhanced home visiting programme occurred from July 2018 to March 2019. Longitudinal electronic health records (EHR) and surveys were triangulated with qualitative data to evaluate the preliminary effectiveness, feasibility, and acceptability of the programme. RESULTS Of the 948 eligible families, clinical care staff referred 38% of families to the home visiting programme and 49 families (5%) completed the 12-week home visiting programme. Necessary ED utilization significantly increased post-implementation compared with pre-implementation. Families were overall highly satisfied with the programme and its content. Several factors influenced implementation including outer setting (i.e. patient needs and external policy), inner setting (e.g. poor leadership engagement, fully integrated network, and high tension for change), and individual characteristics (e.g. high self-efficacy). CONCLUSIONS Once families were enrolled, the programme was fairly successful in addressing patient outcomes. The programme and visit process was highly regarded by families and the unlicensed healthcare professionals. Future programme recommendations, such as small programmatic changes and major improvements in the clinic, should be implemented before widespread dissemination.
Collapse
Affiliation(s)
- Katelyn K Jetelina
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center School of Public Health, Dallas, TX, USA
| | | | | | - Sitara M Weerakoon
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center School of Public Health, Dallas, TX, USA
| | - Sarah E Barlow
- Children's Health, Dallas, TX, USA.,Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|
15
|
Davis S, Crerand C, Hutaff-Lee C, Thompson T, Tishelman A, Samara O, Umbaugh H, Nahata L, Kremen J. Neurodevelopmental and Mental Health Screening for Patients with Turner Syndrome in Pediatric Endocrine Clinics: Results of a Pediatric Endocrine Society Survey. Horm Res Paediatr 2020; 93:643-650. [PMID: 33915553 PMCID: PMC8205091 DOI: 10.1159/000516126] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 03/25/2021] [Indexed: 01/15/2023] Open
Abstract
INTRODUCTION International Turner syndrome (TS) Clinical Practice Guidelines recommend screening for neurodevelopmental (ND) and mental health (MH) concerns in girls with TS; however, it remains unclear whether this is implemented in current practice. The objective of this mixed methods study was to assess screening practices for ND and MH in girls with TS from the perspective of pediatric endocrinologists. METHODS Pediatric Endocrine Society members who provide care for girls with TS were invited to complete an electronic survey on screening practices. Descriptive statistics were used to summarize quantitative results concurrently with thematic analysis of free-text survey responses. RESULTS A total of 124 surveys were completed (86% attending pediatric endocrinologists, 81% at academic institutions). Overall, 25% of providers reported their patients with TS received both ND and MH screenings. Only 9 (9%) respondents endorsed screening for ND concerns themselves, while more providers (26%) reported they screen for MH concerns. Multiple barriers to screening for ND and MH concerns within the clinical setting were endorsed. Nearly all providers (>93%) reported they would consider using a short, validated screening tool for ND and MH concerns if such tools were available. DISCUSSION A minority of pediatric endocrinologists currently perform ND or MH screening for patients with TS, however, many would be interested in implementing a brief screening tool into their clinical practice. Given almost all girls with a TS diagnosis receive care from pediatric endocrinologists at least annually, this may be an effective method to increase the proportion of girls with TS who receive recommended screenings.
Collapse
Affiliation(s)
- Shanlee Davis
- Department of Pediatrics, University of Colorado School of
Medicine, Anschutz Medical Campus, Aurora, CO, USA,eXtraOrdinary Kids Turner Syndrome Clinic,
Children’s Hospital Colorado, Aurora, CO, USA
| | - Canice Crerand
- Center for Biobehavioral Health, The Abigail Wexner
Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA,Department of Pediatrics, The Ohio State University College
of Medicine, Columbus, OH, USA
| | - Christa Hutaff-Lee
- Department of Pediatrics, University of Colorado School of
Medicine, Anschutz Medical Campus, Aurora, CO, USA,eXtraOrdinary Kids Turner Syndrome Clinic,
Children’s Hospital Colorado, Aurora, CO, USA
| | - Talia Thompson
- Department of Pediatrics, University of Colorado School of
Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Amy Tishelman
- Department of Pediatrics, Harvard Medical School, Boston,
MA, USA,Division of Endocrinology, Boston Children’s
Hospital, Boston, MA, USA
| | - Omar Samara
- Department of Pediatrics, University of Colorado School of
Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Hailey Umbaugh
- Department of Pediatrics, The Ohio State University College
of Medicine, Columbus, OH, USA
| | - Leena Nahata
- Center for Biobehavioral Health, The Abigail Wexner
Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA,Department of Pediatrics, The Ohio State University College
of Medicine, Columbus, OH, USA
| | - Jessica Kremen
- Department of Pediatrics, Harvard Medical School, Boston,
MA, USA,Division of Endocrinology, Boston Children’s
Hospital, Boston, MA, USA
| |
Collapse
|
16
|
Clark KD, Woodson TT, Holden RJ, Gunn R, Cohen DJ. Translating Research into Agile Development (TRIAD): Development of Electronic Health Record Tools for Primary Care Settings. Methods Inf Med 2019; 58:1-8. [PMID: 31277082 DOI: 10.1055/s-0039-1692464] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVES This article describes a method for developing electronic health record (EHR) tools for use in primary care settings. METHODS The "Translating Research into Agile Development" (TRIAD) method relies on the close collaboration of researchers, end users, and development teams. This five-step method for designing a tailored EHR tool includes (1) assessment, observation, and documentation; (2) structured engagement for collaboration and iterative data collection; (3) data distillation; (4) developmental feedback from clinical team members on high-priority EHR needs and input on design prototypes and EHR functionality; and (5) agile scrum sprint cycles for prototype development. RESULTS The TRIAD method was used to modify an existing EHR for behavioral health clinicians (BHCs) embedded with primary care teams, called the BH e-Suite. The structured engagement processes stimulated discussions on how best to automate BHC screening tools and provide goal tracking functionality over time. Data distillation procedures rendered technical documents, with information on workflow steps, tasks, and associated challenges. In the developmental feedback phase, BHCs gave input on screening assessments, scoring needs, and other functionality to inform prototype feature development. Six 2-week sprint cycles were conducted to address three domains of prototype development: assessment and documentation needs, information retrieval, and monitoring and tracking. The BH e-Suite tool resulted with eight new EHR features to accommodate BHCs' needs. CONCLUSION The TRIAD method can be used to develop EHR functionality to address the evolving needs of health professionals in primary care and other settings. The BH e-Suite was developed through TRIAD and was found to be acceptable, easy to use, and improved care delivery during pilot testing. The BH e-Suite was later adopted by OCHIN Inc., which provided the tool to its 640 community health centers. This suggests that the TRIAD method is a promising research and development approach.
Collapse
Affiliation(s)
- K D Clark
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, United States
| | - T T Woodson
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, United States
| | - R J Holden
- Indiana University School of Informatics and Computing, Indianapolis, Indiana, United States
| | - R Gunn
- Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, Oregon, United States
| | - D J Cohen
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, United States.,Department Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States
| |
Collapse
|
17
|
Adane K, Gizachew M, Kendie S. The role of medical data in efficient patient care delivery: a review. Risk Manag Healthc Policy 2019; 12:67-73. [PMID: 31114410 PMCID: PMC6486797 DOI: 10.2147/rmhp.s179259] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Background Implementing accurate data management systems ensure safe and efficient transfer of confidential health care data. However, health care professionals overlooked their important tasks of medical data processing. Hence, using high-quality electronic health record (EHR) applications in health care is important to minimize medical errors. Therefore, this review tries to indicate the roles of EHR in advancing quality health care service provisions. Methods The keywords identified were EHR, EMR, medical data processing, medical data retention, medical data destruction, health care, and patient care, and a few related terms with different combinations. PubMed (National Library of Medicine), Google Scholar, and Google search engine were used to search for articles from those databases. Searching was done using boolean words “AND”, “OR”, and “NOT” using all [All fields] and [MeSH Terms] searching strategies. Results Articles were screened using the title, checked by their abstract, and the remaining related full-text materials were included or excluded by two individuals deciding its eligibility. Finally, 73 materials issued from 2013–2018 were used for qualitatively synthesizing and reconciling the idea to produce this review article. Conclusion Poor medical data processing systems are the key reasons for medical errors. Employing standardized data management systems reduce errors and associated sufferings. Therefore, using electronic tools in the health care institution ensures safe and efficient data management. Therefore, it is important to establish appropriate medical data management systems for efficient health care delivery.
Collapse
Affiliation(s)
- Kasaw Adane
- Unit of Quality Assurance and Laboratory Management, School of Biomedical and Laboratory Sciences, University of Gondar, Ethiopia,
| | - Mucheye Gizachew
- School of Biomedical and Laboratory Sciences, Department of Medical Microbiology, University of Gondar, Gondar, Ethiopia
| | - Semalegne Kendie
- School of Sociology and Social Work, Department of Social Work, University of Gondar, Gondar, Ethiopia
| |
Collapse
|