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Fasugba O, Sedani R, Mikulik R, Dale S, Vařecha M, Coughlan K, McElduff B, McInnes E, Hladíková S, Cadilhac DA, Middleton S. How registry data are used to inform activities for stroke care quality improvement across 55 countries: A cross-sectional survey of Registry of Stroke Care Quality (RES-Q) hospitals. Eur J Neurol 2024; 31:e16024. [PMID: 37540834 PMCID: PMC10952746 DOI: 10.1111/ene.16024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 07/23/2023] [Accepted: 07/31/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND AND PURPOSE The Registry of Stroke Care Quality (RES-Q) is a worldwide quality improvement data platform that captures performance and quality measures, enabling standardized comparisons of hospital care. The aim of this study was to determine if, and how, RES-Q data are used to influence stroke quality improvement and identify the support and educational needs of clinicians using RES-Q data to improve stroke care. METHODS A cross-sectional self-administered online survey was administered (October 2021-February 2022). Participants were RES-Q hospital local coordinators responsible for stroke data collection. Descriptive statistics are presented. RESULTS Surveys were sent to 1463 hospitals in 74 countries; responses were received from 358 hospitals in 55 countries (response rate 25%). RES-Q data were used "always" or "often" to: develop quality improvement initiatives (n = 213, 60%); track stroke care quality over time (n = 207, 58%); improve local practice (n = 191, 53%); and benchmark against evidence-based policies, procedures and/or guidelines to identify practice gaps (n = 179, 50%). Formal training in the use of RES-Q tools and data were the most frequent support needs identified by respondents (n = 165, 46%). Over half "strongly agreed" or "agreed" that to support clinical practice change, education is needed on: (i) using data to identify evidence-practice gaps (n = 259, 72%) and change clinical practice (n = 263, 74%), and (ii) quality improvement science and methods (n = 255, 71%). CONCLUSION RES-Q data are used for monitoring stroke care performance. However, to facilitate their optimal use, effective quality improvement methods are needed. Educating staff in quality improvement science may develop competency and improve use of data in practice.
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Affiliation(s)
- Oyebola Fasugba
- Nursing Research Institute, St Vincent's Health Network SydneySt Vincent's Hospital Melbourne and Australian Catholic UniversitySydneyNew South WalesAustralia
- School of Nursing, Midwifery and ParamedicineAustralian Catholic UniversitySydneyNew South WalesAustralia
| | - Rupal Sedani
- International Clinical Research CentreSt. Anne's University HospitalBrnoCzech Republic
| | - Robert Mikulik
- International Clinical Research Centre, Neurology DepartmentSt. Anne's University Hospital and Masaryk UniversityBrnoCzech Republic
| | - Simeon Dale
- Nursing Research Institute, St Vincent's Health Network SydneySt Vincent's Hospital Melbourne and Australian Catholic UniversitySydneyNew South WalesAustralia
- School of Nursing, Midwifery and ParamedicineAustralian Catholic UniversitySydneyNew South WalesAustralia
| | - Miroslav Vařecha
- International Clinical Research CentreSt. Anne's University HospitalBrnoCzech Republic
| | - Kelly Coughlan
- Nursing Research Institute, St Vincent's Health Network SydneySt Vincent's Hospital Melbourne and Australian Catholic UniversitySydneyNew South WalesAustralia
- School of Nursing, Midwifery and ParamedicineAustralian Catholic UniversitySydneyNew South WalesAustralia
| | - Benjamin McElduff
- Nursing Research Institute, St Vincent's Health Network SydneySt Vincent's Hospital Melbourne and Australian Catholic UniversitySydneyNew South WalesAustralia
- School of Nursing, Midwifery and ParamedicineAustralian Catholic UniversitySydneyNew South WalesAustralia
| | - Elizabeth McInnes
- Nursing Research Institute, St Vincent's Health Network SydneySt Vincent's Hospital Melbourne and Australian Catholic UniversitySydneyNew South WalesAustralia
- School of Nursing, Midwifery and ParamedicineAustralian Catholic UniversitySydneyNew South WalesAustralia
| | - Sabina Hladíková
- International Clinical Research CentreSt. Anne's University HospitalBrnoCzech Republic
| | - Dominique A. Cadilhac
- Stroke and Ageing Research, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVictoriaAustralia
- Stroke Theme, Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneHeidelbergVictoriaAustralia
| | - Sandy Middleton
- Nursing Research Institute, St Vincent's Health Network SydneySt Vincent's Hospital Melbourne and Australian Catholic UniversitySydneyNew South WalesAustralia
- School of Nursing, Midwifery and ParamedicineAustralian Catholic UniversitySydneyNew South WalesAustralia
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Krysa JA, Pohar Manhas KJ, Loyola-Sanchez A, Casha S, Kovacs Burns K, Charbonneau R, Ho C, Papathanassoglou E. Mobilizing registry data for quality improvement: A convergent mixed-methods analysis and application to spinal cord injury. FRONTIERS IN REHABILITATION SCIENCES 2023; 4:899630. [PMID: 37077292 PMCID: PMC10109451 DOI: 10.3389/fresc.2023.899630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 03/17/2023] [Indexed: 04/05/2023]
Abstract
IntroductionThe rising prevalence of complex chronic conditions and growing intricacies of healthcare systems emphasizes the need for interdisciplinary partnerships to advance coordination and quality of rehabilitation care. Registry databases are increasingly used for clinical monitoring and quality improvement (QI) of health system change. Currently, it is unclear how interdisciplinary partnerships can best mobilize registry data to support QI across care settings for complex chronic conditions.PurposeWe employed spinal cord injury (SCI) as a case study of a highly disruptive and debilitating complex chronic condition, with existing registry data that is underutilized for QI. We aimed to compare and converge evidence from previous reports and multi-disciplinary experts in order to outline the major elements of a strategy to effectively mobilize registry data for QI of care for complex chronic conditions.MethodsThis study used a convergent parallel-database variant mixed design, whereby findings from a systematic review and a qualitative exploration were analyzed independently and then simultaneously. The scoping review used a three-stage process to review 282 records, which resulted in 28 articles reviewed for analysis. Concurrent interviews were conducted with multidisciplinary-stakeholders, including leadership from condition-specific national registries, members of national SCI communities, leadership from SCI community organizations, and a person with lived experience of SCI. Descriptive analysis was used for the scoping review and qualitative description for stakeholder interviews.ResultsThere were 28 articles included in the scoping review and 11 multidisciplinary-stakeholders in the semi-structured interviews. The integration of the results allowed the identification of three key learnings to enhance the successful design and use of registry data to inform the planning and development of a QI initiative: enhance utility and reliability of registry data; form a steering committee lead by clinical champions; and design effective, feasible, and sustainable QI initiatives.ConclusionThis study highlights the importance of interdisciplinary partnerships to support QI of care for persons with complex conditions. It provides practical strategies to determine mutual priorities that promote implementation and sustained use of registry data to inform QI. Learnings from this work could enhance interdisciplinary collaboration to support QI of care for rehabilitation for persons with complex chronic conditions.
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Affiliation(s)
- Jacqueline A. Krysa
- Neurosciences, Rehabilitation and Vision, Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada
- Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, AB, Canada
| | - Kiran J. Pohar Manhas
- Neurosciences, Rehabilitation and Vision, Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada
- Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Adalberto Loyola-Sanchez
- Neurosciences, Rehabilitation and Vision, Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada
- Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, AB, Canada
| | - Steve Casha
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Katharina Kovacs Burns
- School of Public Health, University of Alberta, Edmonton, AB, Canada
- Department of Clinical Quality Metrics, Alberta Health Services, Edmonton, AB, Canada
| | - Rebecca Charbonneau
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Chester Ho
- Neurosciences, Rehabilitation and Vision, Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada
- Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, AB, Canada
| | - Elizabeth Papathanassoglou
- Neurosciences, Rehabilitation and Vision, Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
- Correspondence: Elizabeth Papathanassoglou
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Dempsey K, Ferguson C, Walczak A, Middleton S, Levi C, Morton RL, Boydell K, Campbell M, Cass A, Duff J, Elliott C, Geelhoed G, Jones A, Keech W, Leone V, Liew D, Linedale E, Mackinolty C, McFayden L, Norris S, Skouteris H, Story D, Tucker R, Wakerman J, Wallis L, Waterhouse T, Wiggers J. Which strategies support the effective use of clinical practice guidelines and clinical quality registry data to inform health service delivery? A systematic review. Syst Rev 2022; 11:237. [PMID: 36352475 PMCID: PMC9644489 DOI: 10.1186/s13643-022-02104-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 10/18/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Empirical evidence suggests data and insights from the clinical practice guidelines and clinical quality registries are not being fully utilised, leaving health service managers, clinicians and providers without clear guidance on how best to improve healthcare delivery. This lack of uptake of existing research knowledge represents low value to the healthcare system and needs to change. METHODS Five electronic databases (MEDLINE, Embase, CINAHL, Cochrane Central and Cochrane Database of Systematic Reviews) were systematically searched. Included studies were published between 2000 and 2020 reporting on the attributes, evidence usage and impact of clinical practice guidelines and clinical quality registries on health service delivery. RESULTS Twenty-six articles including one randomised controlled trial, eight before-and-after studies, eight case studies/reviews, five surveys and four interview studies, covering a wide range of medical conditions and conducted in the USA, Australia and Europe, were identified. Five complementary strategies were derived to maximise the likelihood of best practice health service delivery: (1) feedback and transparency, (2) intervention sustainability, (3) clinical practice guideline adherence, (4) productive partnerships and (5) whole-of-team approach. CONCLUSION These five strategies, used in context-relevant combinations, are most likely to support the application of existing high-quality data, adding value to health service delivery. The review highlighted the limitations of study design in opportunistic registry studies that do not produce clear, usable evidence to guide changes to health service implementation practices. Recommendations include exploration of innovative methodologies, improved coordination of national registries and the use of incentives to encourage guideline adherence and wider dissemination of strategies used by successful registries.
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Affiliation(s)
- Kathy Dempsey
- Faculty of Medicine and Health, NHMRC Clinical Trials Centre, The University of Sydney, Camperdown, NSW, 2050, Australia.
| | | | - Adam Walczak
- Sydney Partnership for Health, Education, Research and Enterprise (SPHERE), University of NSW, Kensington, Australia
| | - Sandy Middleton
- Nursing Research Unit, Australian Catholic University, Sydney, Australia
| | - Christopher Levi
- Sydney Partnership for Health, Education, Research and Enterprise (SPHERE), University of NSW, Kensington, Australia
| | - Rachael L Morton
- Faculty of Medicine and Health, NHMRC Clinical Trials Centre, The University of Sydney, Camperdown, NSW, 2050, Australia
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Egholm CL, Helmark C, Rossau HK, Munkehøj P, Brøndum S, Pedersen SS, Zwisler AD. Implementation of systematic screening for anxiety and depression in cardiac rehabilitation: Real world lessons from a longitudinal study. J Psychosom Res 2022; 158:110909. [PMID: 35472687 DOI: 10.1016/j.jpsychores.2022.110909] [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: 12/21/2021] [Revised: 03/31/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
Abstract
AIMS Systematic screening for anxiety and depression is widely recommended as a core component of cardiac rehabilitation in ischemic heart disease, however, recommendation-practice gaps are common and limited knowledge exists about factors hindering and supporting implementation. The study aimed to assess adherence to national clinical guideline recommendations and to gain a greater understanding of the implementation of screening in real-world practice. METHODS An observational, longitudinal mixed-methods design including hospitals and municipalities in Denmark. We retrieved nationwide survey data from 2013, 2015, 2018 and 2021 to assess adherence to screening on programme level, and clinical quality registry data from 2016 to 2020 to assess proportion of patients screened. Data were analysed descriptively. Semi-structured interviews with healthcare professionals were conducted in 2015 (n = 11) and 2020 (n = 11) to explore how screening was conducted and factors supporting implementation. Normalization Process Theory guided interviews and content analysis. RESULTS Screening on programme level increased from 61% to 88% in hospitals and 20% to 89% in municipalities. The individual proportion of patients screened remained relatively stable in both hospitals and municipalities overall, however with considerable inter-site differences. Screening practices became more aligned to guidelines, pushed by formal recommendations and monitoring, and pulled by activities strengthening the knowledge and motivation among staff. CONCLUSION Screening for anxiety and depression improved considerably over the seven-year period, from a scattered practice driven by individuals to a movement where healthcare professionals had a feeling of going with the flow. Nationwide implementation of screening requires national and local supporting activities and a continuous effort.
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Affiliation(s)
- Cecilie Lindström Egholm
- REHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Vestergade 17, 5800 Nyborg, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Charlotte Helmark
- Department of Cardiology, Zealand University Hospital Roskilde, Vestermarksvej 21, 4000 Roskilde, Denmark
| | - Henriette Knold Rossau
- REHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Vestergade 17, 5800 Nyborg, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Pia Munkehøj
- REHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Vestergade 17, 5800 Nyborg, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Københavns Professionshøjskole, Campus Sigurdsgade, Sigurdsgade 26, 2200 Copenhagen N, Denmark
| | | | - Susanne S Pedersen
- Department of Psychology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark; Department of Cardiology, Odense University Hospital, J. B. Winsløwsvej 4, 5000 Odense C, Denmark
| | - Ann-Dorthe Zwisler
- REHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Vestergade 17, 5800 Nyborg, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Department of Cardiology, Odense University Hospital, J. B. Winsløwsvej 4, 5000 Odense C, Denmark
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Drevin G, Albutt K, Baluku M, Tuhumwiire C, Deng H, Musinguzi N, Modest V, Ngonzi J, Ttendo S, Firth P. Outcome Measurement at a Ugandan Referral Hospital: Validation of the Mbarara Surgical Services Quality Assurance Database. World J Surg 2021; 44:2550-2556. [PMID: 32333160 DOI: 10.1007/s00268-020-05537-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Five billion people lack access to surgery. Accurate and complete data have been identified as essential to the global scale-up of perioperative care. This study retrospectively validates the Mbarara Surgical Services Quality Assurance Database (SQUAD), an electronic outcomes database at a Ugandan secondary referral hospital. METHODS SQUAD data were compared to paper records from August 2013 to January 2017. To assess data entry accuracy, two researchers independently extracted 24 patient variables from 170 charts. To assess completeness of patient capture, SQUAD entries were compared to a sample of charts returned to the Medical Records Department, and to a sample of entries in ward and operating room logbooks. Two-tailed binomial proportions with 95% CI were calculated from the comparative results of patient observations, against a predefined accuracy of 0.85-0.95. RESULTS Agreement between completed validation observations from charts and SQUAD data was 91.5% (n = 3734/4080 data points). Binomial tests indicated that 15 variables had higher than 95% accuracy. A total 19 of 24 variables had ≥ 85% accuracy. The completeness of SQUAD patient capture was 98.2% (n = 167/170) of charts returned to the Medical Records Department, 97.5% (n = 198/203) of operating logbook entries, and 100% (n = 111/111) of ward logbook entries, respectively. CONCLUSION SQUAD closely reflects the primary surgical and anaesthetic data at a Ugandan secondary hospital. Data accuracy of key variables and completeness of population capture were comparable to those of databases in high-income countries and outperformed those of other low- and middle-income countries.
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Affiliation(s)
- Gustaf Drevin
- Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, USA
- Department for Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Katherine Albutt
- Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, USA
- Department of General Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Moris Baluku
- Department of Anaesthesia and Critical Care, Mbarara Regional Referral Hospital, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Caleb Tuhumwiire
- Department of Surgery, Mbarara Regional Referral Hospital, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Hao Deng
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Nicholas Musinguzi
- Harvard-Mbarara University of Science and Technology Collaborative, Mbarara, Uganda
| | - Vicki Modest
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Joseph Ngonzi
- Department of Obstetrics and Gynaecology, Mbarara Regional Referral Hospital, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Stephen Ttendo
- Department of Anaesthesia and Critical Care, Mbarara Regional Referral Hospital, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Paul Firth
- Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, USA.
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
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Tang LH, Joshi V, Egholm CL, Zwisler AD. Are survivors of cardiac arrest provided with standard cardiac rehabilitation? - Results from a national survey of hospitals and municipalities in Denmark. Eur J Cardiovasc Nurs 2020; 20:115-123. [PMID: 33849060 DOI: 10.1177/1474515120946313] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 07/10/2020] [Indexed: 11/17/2022]
Abstract
AIM To quantify the provision of standard cardiac rehabilitation to Danish survivors of cardiac arrest at a programme level, and to analyse whether organizational factors influenced the provision. METHOD We mapped the provision of cardiac rehabilitation core components to survivors of cardiac arrest and compared this with a reference group of patients after acute myocardial infarction using data from a cross-sectional programme-level survey among all hospitals (n = 34) and municipalities (n = 98) in Denmark. Organizational factors of potential importance to service provision were considered: health care region, size of catchment area/population, type of department/municipality and socioeconomic index. RESULTS Response rates for the provision of each core component of cardiac rehabilitation ranged from 64% to 98%. All hospitals and municipalities provided some aspect of cardiac rehabilitation to survivors of cardiac arrest. Across hospitals, provision of four core components of cardiac rehabilitation to survivors of cardiac arrest was lower compared with post acute myocardial infarction patients: patient education (relative risk (RR) = 0.45 (95% confidence interval (CI) 0.27 to 0.75)), exercise training (RR = 0.69 (95% CI 0.49 to 0.98)), screening for anxiety and depression (RR = 0.64 (95% CI 0.46 to 0.90) and nutritional counselling RR = 0.76 (95% CI 0.62 to 0.93)). No difference was found in the provision of core components across municipalities. Overall, the provision of cardiac rehabilitation to survivors of cardiac arrest was not affected by organizational factors. CONCLUSION This study indicates a need for future research to inform the development, adoption and implementation of equal access to all components of cardiac rehabilitation for survivors of cardiac arrest in Denmark.
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Affiliation(s)
- Lars H Tang
- Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital and University of Southern Denmark, Odense, Denmark.,Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark.,Department of Regional Health Research, University of Southern Denmark, Slagelse, Denmark
| | - Vicky Joshi
- Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Cecilie Lindström Egholm
- Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Ann-Dorthe Zwisler
- Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital and University of Southern Denmark, Odense, Denmark.,The Danish Clinical Quality Program (RKKP), National Clinical Registries, Aarhus N, Denmark
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