{"title":"The need for health information management professionals in Malawi health facilities.","authors":"Teddie Chima, Esmie Mkwinda, Stephen Kumwenda","doi":"10.1177/18333583231180772","DOIUrl":"10.1177/18333583231180772","url":null,"abstract":"<p><strong>Background: </strong>Health information management (HIM) is at the core of health organisations, providing essential information. In Malawi, there is a substantial deficit of qualified personnel, specifically health information managers, who can properly manage health information in electronic and paper-based formats. The nation has no higher education institution offering an academic programme in HIM.</p><p><strong>Objective: </strong>To investigate the need for HIM professionals in Malawi government health facilities, to determine the kinds of data managed by data users; competencies of HIM workers and challenges associated with the current HIM system.</p><p><strong>Method: </strong>A cross-sectional research design was adopted, with a qualitative approach to gather data from data users and key informants, using two focused interview guides. Data were collected from 13 participants from 6 government health facilities representing the primary, secondary and tertiary healthcare delivery levels. Data were analysed thematically.</p><p><strong>Results: </strong>Data users handled a diverse range of data, the majority having moderate skills in HIM. Both data users and key informants reported experiencing challenges in dealing with the existing HIM system. Findings also revealed key challenges associated with the absence, or inadequacy, of a well-trained HIM professional workforce in Malawi health facilities.</p><p><strong>Conclusion: </strong>Introducing a training programme in HIM would improve data management in health facilities in Malawi. Well-managed data would improve the delivery of health care services.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"6-13"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9757529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The applications of Australian-coded ICD-10 and ICD-10-AM data in research: A scoping review of the literature.","authors":"Merilyn Riley, Jenn Lee, Sally Richardson, Stephanie Gjorgioski, Kerin Robinson","doi":"10.1177/18333583231198592","DOIUrl":"10.1177/18333583231198592","url":null,"abstract":"<p><p><b>Background:</b> Australia uses the International Classification of Diseases (ICD-10) for mortality coding and its Australian Modification, ICD-10-AM, for morbidity coding. The ICD underpins surveillance (population health, mortality), health planning and research (clinical, epidemiological and others). ICD-10-AM also supports activity-based funding, thereby propelling realignment of the foci of clinical coding and, potentially, coded data's research utility. <b>Objective:</b> To conduct a scoping review of the literature exploring the use of ICD-10 and ICD-10-AM Australian-coded data in research. Research questions addressed herein: (1) What were the applications of ICD-10(-AM) Australian-coded data in published peer-reviewed research, 2012-2022? (2) What were the purposes of ICD-10(-AM) coded data within this context, as classified per a taxonomy of data use framework? <b>Method</b>: Following systematic Medline, Scopus and Cumulative Index to Nursing and Allied Health Literature database searches, a scoping literature review was conducted using PRISMA Extension for Scoping Reviews guidelines. References of a random 5% sample of within-scope articles were searched manually. Results were summarised using descriptive analyses. <b>Results:</b> Multi-stage screening of 2103 imported articles produced 636, including 25 from the references, for extraction and analysis; 54% were published 2019-2022; 50% within the largest five categories were published post-2019; 22% fell within the \"Mental health and behavioural\" category; 60.3% relied upon an ICD-10 modification. Articles were grouped by: research foci; relevant ICD chapter; themes per the taxonomy; purposes of the coded data. Observational study designs predominated: descriptive (50.6%) and cohort (34.6%). <b>Conclusion:</b> Researchers' use of coded data is extensive, robust and growing. Increasing demand is foreshadowed for ICD-10(-AM) coded data, and HIM-Coders' and Clinical Coders' expert advice to medical researchers.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"41-50"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10777611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41173695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing a comprehensive minimum dataset for patients with COVID-19 in Iranian hospital information systems.","authors":"Hosna Salmani, Sadegh Sharafi, Ahlam Almanie, Fatemeh Niknam, Zeynab Naseri, Sara Mobarak, Saeed Jelvay","doi":"10.1177/18333583231199879","DOIUrl":"10.1177/18333583231199879","url":null,"abstract":"<p><strong>Background: </strong>The Minimum Data Set (MDS) plays a vital role in data exchange, collection and quality improvement. In the context of the COVID-19 pandemic, there is a need for a tailored MDS that aligns with the specific information needs of the Iranian community and integrates seamlessly into the country's Hospital Information Systems (HIS).</p><p><strong>Objective: </strong>The study aimed to develop a comprehensive MDS for COVID-19 patients in Iran, with objectives to identify essential data elements and integrate the MDS into HIS, enhancing data exchange and supporting decision-making.</p><p><strong>Method: </strong>This study employed a comparative-descriptive approach to design COVID-19 patient data elements based on World Health Organisation and Centers for Disease Control and Prevention guidelines. The Delphi technique involved 35 experts in two rounds for checklist refinement. The finalised MDS consisted of 9 main terms and 80 sub-terms, analysed using descriptive statistics and IBM SPSS software.</p><p><strong>Results: </strong>Of 35 experts involved with the study, 69% were male and 31% female, and Health Information Management experts were the majority (34%). The refined MDS for COVID-19 in Iran comprises 50 data elements, while 30 elements were excluded. The MDS includes 8 main terms and 80 sub-terms, with unanimous approval for identity, underlying disease, and treatment sections.</p><p><strong>Conclusion: </strong>The customised MDS for COVID-19 patients in Iran addresses data collection challenges and supports effective disease prevention and management. By providing comprehensive and reliable information, the MDS enhances healthcare quality, facilitates timely access to medical records, and fosters integrated health services.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"14-19"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Telepsychiatry readiness assessment at the Department of Psychiatry, Dr. Soeharto Heerdjan Hospital, Indonesia.","authors":"Ifah Muzdalifah, Hosizah Markam","doi":"10.1177/18333583231205975","DOIUrl":"10.1177/18333583231205975","url":null,"abstract":"<p><p><b>Background:</b> The Dr. Soeharto Heerdjan Hospital, Jakarta, Indonesia, has deployed telepsychiatry since May 2022 to ensure continuity of care for its psychiatric patients. This model of service has not functioned optimally, owing to obstacles, including the absence of a registration officer, no designated consultation room, scheduling issues and challenges for patients or their representatives in using the telepsychiatry application.</p><p><strong>Objective: </strong>This study aimed to assess telepsychiatry readiness at Dr. Soeharto Heerdjan Hospital.</p><p><strong>Method: </strong>An observational survey was conducted in April-May 2022, with a sample of 40 members of the telepsychiatry workforce, using the Telehealth Readiness Assessment (TRA) tool. Five key domains of the TRA tool are associated with the successful implementation of telehealth, including core readiness, financial considerations, operations, staff engagement and patient readiness. This tool includes a questionnaire, scoring sheet, supporting guidance and additional resources. The overall readiness score is a weighted average of the concept scores included within each of the five domains.</p><p><strong>Results: </strong>Of 40 respondents, 72.5% were females and 42.5% were between 31 and 40 years. From the total of five domains of telepsychiatry readiness, the level of telepsychiatry readiness at Dr. Soeharto Heerdjan Hospital was 70.05% or a <i>moderate</i> level.</p><p><strong>Conclusion: </strong>Aspects of readiness that need to be improved include providing a workforce for telepsychiatry patient registration; drug delivery; scheduling; designated consultation rooms; user-friendly telepsychiatry applications and electronic media for information on telepsychiatry services.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"29-33"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71415797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erratum to \"A documentary analysis of Victorian Government health information assets' websites to identify availability of documentation for data sharing and reuse in Australia\".","authors":"","doi":"10.1177/18333583231208191","DOIUrl":"https://doi.org/10.1177/18333583231208191","url":null,"abstract":"","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583231208191"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41184315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nathan K Mensah, Richard O Boadu, Godwin Adzakpah, Obed U Lasim, Ruth D Amuakwa, Hannah B Taylor-Abdulai, Samuel T Chatio
{"title":"Electronic health records post-implementation challenges in selected hospitals: A qualitative study in the Central Region of southern Ghana.","authors":"Nathan K Mensah, Richard O Boadu, Godwin Adzakpah, Obed U Lasim, Ruth D Amuakwa, Hannah B Taylor-Abdulai, Samuel T Chatio","doi":"10.1177/18333583221096899","DOIUrl":"https://doi.org/10.1177/18333583221096899","url":null,"abstract":"<p><strong>Background: </strong>Electronic health records (EHRs) are useful tools in healthcare settings but implementation in low and middle-income countries (LMIC) face challenges.</p><p><strong>Objective: </strong>To explore post-implementation challenges affecting the deployment of EHRs and their use in selected health facilities in Ghana.</p><p><strong>Method: </strong>Using a qualitative research approach, 21 in-depth interviews were conducted with health workers in two hospitals in the study area in Ghana, in February and June 2020. Purposive sampling was used to select participants. All interviews were audio recorded, transcribed, and coded into themes using QSR Nvivo12 software to aid thematic analyses.</p><p><strong>Results: </strong>Post-implementation challenges were grouped into lack of technological, logistical and managerial support, and inadequate training. Inadequate equipment was the most reported post-implementation challenge that affected EHR use. Unreliable Internet and network connectivity was a source of frustration, which caused staff to develop negative attitudes towards use of the system. Lack of funding stalled implementation of the system and limited its use to critical care units only. It was also the reason replacement of equipment delayed.</p><p><strong>Conclusion: </strong>While EHR post-implementation challenges facing health facilities are surmountable, managerial support, backed with the requisite logistical and technical support is needed. It is not enough to rely on funding; health institutions should prioritise emerging EHR post-implementation challenges in their operating budgets.</p><p><strong>Implications: </strong>A national framework is needed to guide effective and sustainable EHR implementation across the country.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":"52 3","pages":"204-211"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10175326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ben J Murch, Sarah E Hollier, Charlie Kenward, Richard M Wood
{"title":"Use of linked patient data to assess the effect of Long-COVID on system-wide healthcare utilisation.","authors":"Ben J Murch, Sarah E Hollier, Charlie Kenward, Richard M Wood","doi":"10.1177/18333583221089915","DOIUrl":"https://doi.org/10.1177/18333583221089915","url":null,"abstract":"<p><p><b>Background:</b> Within the relatively early stages of the COVID-19 pandemic, there had been an awareness of the potential longer-term effects of infection (so called Long-COVID) but little was known of the ongoing demands such patients may place on healthcare services. <b>Objective:</b> To investigate whether COVID-19 illness is associated with increased post-acute healthcare utilisation. <b>Method:</b> Using linked data from primary care, secondary care, mental health and community services, activity volumes were compared across the 3 months preceding and proceeding COVID-19 diagnoses for 7,791 individuals, with a distinction made between whether or not patients were hospitalised for treatment. Differences were assessed against those of a control group containing individuals who had not received a COVID-19 diagnosis. All data were sourced from the authors' healthcare system in South West England. <b>Results:</b> For hospitalised COVID-19 cases, a statistically significant increase in non-elective admissions was identified for males and females <65 years. For non-hospitalised cases, statistically significant increases were identified in GP Doctor and Nurse attendances and GP prescriptions (males and females, all ages); Emergency Department attendances (females <65 years); Mental Health contacts (males and females ≥65 years); and Outpatient consultations (males ≥65 years). <b>Conclusion:</b> There is evidence of an association between positive COVID-19 diagnosis and increased post-acute activity within particular healthcare settings. Linked patient-level data provides information that can be useful to understand ongoing healthcare needs resulting from Long-COVID, and support the configuration of Long-COVID pathways of care.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":"52 3","pages":"167-175"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10165845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recording our genes: Stakeholder views on genetic test results in networked electronic medical records.","authors":"Megan Prictor, Maria Rychkova","doi":"10.1177/18333583221090969","DOIUrl":"https://doi.org/10.1177/18333583221090969","url":null,"abstract":"<p><p><b>Background:</b> In Australia, national policy prioritises the integration of clinical genetic data with networked electronic medical records (EMRs) for enhanced coordination of care and clinical decision-making. <b>Objective:</b> To examine the needs, privacy expectations and concerns of patients, family members, patient advocates and clinicians in relation to the use of networked EMRs for clinical genetic information. <b>Method:</b> Purposive sampling was used to recruit 27 participants for a semi-structured qualitative interview, primarily over Zoom. The interviews were audio and video-recorded and externally transcribed. Interview transcripts were then coded and analysed in NVivo, using an inductive thematic approach. <b>Results:</b> Thematic analysis revealed diverse preferences regarding genetic information access and handling across participants, with five core themes being identified: degree of access and control; central role of genetic professionals as information gatekeepers; complexities of familial implications; external risks; and law, governance and policy; all strong themes that emerged across numerous participants. <b>Conclusion:</b> This project yielded unprecedented and significant insights into the views, needs and concerns of key stakeholders in Australia regarding the inclusion of health-related genetic test results in networked EMRs. <b>Implications:</b> These findings provide a critical reference point for much-needed law reform and policy-making around genetic test results in Australia.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":"52 3","pages":"194-203"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10165847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joosup Kim, Rohan Grimley, Monique F Kilkenny, Greg Cadigan, Trisha Johnston, Nadine E Andrew, Amanda G Thrift, Natasha A Lannin, Vijaya Sundararajan, Dominique A Cadilhac
{"title":"Costs of acute hospitalisation for stroke and transient ischaemic attack in Australia.","authors":"Joosup Kim, Rohan Grimley, Monique F Kilkenny, Greg Cadigan, Trisha Johnston, Nadine E Andrew, Amanda G Thrift, Natasha A Lannin, Vijaya Sundararajan, Dominique A Cadilhac","doi":"10.1177/18333583221090277","DOIUrl":"https://doi.org/10.1177/18333583221090277","url":null,"abstract":"<p><strong>Background: </strong>Stroke is a high-cost condition. Detailed patient-level assessments of the costs of care received and outcomes achieved provide useful information for organisation and optimisation of the health system.</p><p><strong>Objectives: </strong>To describe the costs of hospital care for stroke and transient ischaemic attack (TIA) and investigate factors associated with costs.</p><p><strong>Methods: </strong>Retrospective cohort study using data from the Australian Stroke Clinical Registry (AuSCR) collected between 2009 and 2013 linked to hospital administrative data and clinical costing data in Queensland. Clinical costing data include standardised assignment of costs from hospitals that contribute to the National Hospital Costing programme. Patient-level costs for each hospital admission were described according to the demographic, clinical and treatment characteristics of patients. Multivariable median regression with clustering by hospital was used to determine factors associated with greater costs.</p><p><strong>Results: </strong>Among 22 hospitals, clinical costing data were available for 3909 of 5522 patient admissions in the AuSCR (71%). Compared to those without clinical costing data, patients with clinical costing data were more often aged <65 years (30% with cost data vs 24% without cost data, <i>p</i> < 0.001) and male (56% with cost data vs 49% without cost data, <i>p</i> < 0.001). Median cost of an acute episode was $7945 (interquartile range $4176 to $14970) and the median length of stay was 5 days (interquartile range 2 to 10 days). The most expensive cost buckets were related to medical (<i>n</i> = 3897, median cost $1577), nursing (<i>n</i> = 3908, median cost $2478) and critical care (<i>n</i> = 434, median cost $3064). Factors associated with greater total costs were a diagnosis of intracerebral haemorrhage, greater socioeconomic position, in-hospital stroke and prior history of stroke.</p><p><strong>Conclusion: </strong>Medical and nursing costs were incurred by most patients admitted with stroke or TIA, and were relatively more expensive on average than other cost buckets such as imaging and allied health.</p><p><strong>Implications: </strong>Scaling this data linkage to national data collections may provide valuable insights into activity-based funding at public hospitals. Regular report of these costs should be encouraged to optimise economic evaluations.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":"52 3","pages":"176-184"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10545698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of the ICD-11 on the accuracy of clinical coding in Korea.","authors":"Hyunkyung Lee, Sukil Kim","doi":"10.1177/18333583221095147","DOIUrl":"https://doi.org/10.1177/18333583221095147","url":null,"abstract":"<p><p><b>Background:</b> ICD-11 was officially released at the World Health Assembly on 25 May 2019. <b>Objective:</b> To find effective ways to increase the accuracy of coding for diagnostic terms in Korea for a stable transition from Korean modification of ICD-10 (7th Revision of Korean Classification of Disease, KCD-7) to ICD-11. <b>Method:</b> A total of 27 skilled Korean health information managers performed KCD-7 and ICD-11 coding simultaneously (line coding [56]; case coding [17]). Accuracy rates and percentage agreements were calculated, and granularity and difficulty of the ICD-11 were rated by participants. <b>Results:</b> The average accuracy rate of line coding was 71.6 % in ICD-11 and 80.2% in KCD-7, which was similar to results in other studies. The mean percentage agreements for ICD-11 and KCD-7 for line coding were 64.2% and 72.1%, respectively; while for case coding it was 15.3% and 26.6%. Selection criteria for the case scenarios may have influenced the low agreements in case coding. Cluster coding, changes of terms in ICD-11 and removal of codes used in ICD-10 contributed to low agreement in ICD-11 (46.6% of participants reported that granularity of ICD-11 was similar to ICD-10, while 36.9% reported that ICD-11 had finer granularity). In terms of difficulty, 15.3% of participants found line coding difficult and 10.9% found case coding difficult. <b>Conclusion:</b> Provision of more detailed reference guidelines and efficient training for coding professionals by the World Health Organization would enable ICD-11 to be an excellent tool for gathering relevant information about diseases in Korea.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":"52 3","pages":"221-228"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10172351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}