Clinical Coders' Perspectives on Pressure Injury Coding in Acute Care Services in Victoria, Australia

Carolina Weller1, Louise Turnour1, Elizabeth Alvarez Connelly2, Jane Banaszak‐Holl3, Victoria Team1,4
1Faculty of Medicine, Nursing and Health Sciences, School of Nursing and Midwifery, Monash University, Australia
2Cabrini Hospital, Australia
3Faculty of Medicine, Nursing and Health Sciences, School of Public Health and Preventive Medicine, Monash University, Australia
4Monash Partners Academic Health Science Centre, Australia

Tóm tắt

Pressure injuries (PIs) substantively impact quality of care during hospital stays, although only when they are severe or acquired as a result of the hospital stay are they reported as quality indicators. Globally, researchers have repeatedly highlighted the need to invest more in quality improvement, risk assessment, prevention, early detection, and care for PI to avoid the higher costs associated with treatment of PI. Coders' perspectives on quality assurance of the clinical coded PI data have never been investigated. This study aimed to explore challenges that hospital coders face in accurately coding and reporting PI data and subsequently, explore reasons why data sources may vary in their reporting of PI data. This article is based upon data collected as part of a multi-phase collaborative project to build capacity for optimizing PI prevention across Monash Partners health services. We have conducted 16 semi-structured phone interviews with clinical coders recruited from four participating health services located in Melbourne, Australia. One of the main findings was that hospital coders often lacked vital information in clinicians' records needed to code PI and report quality indicators accurately and highlighted the need for quality improvement processes for PI clinical documentation. Nursing documentation improvement is a vital component of the complex capacity building programs on PI prevention in acute care services and is relied on by coders. Coders reported the benefit of inter-professional collaborative workshops, where nurses and coders shared their perspectives. Collaborative workshops had the potential to improve coders' knowledge of PI classification and clinicians' understanding of what information should be included when documenting PI in the medical notes. Our findings identified three methods of quality assurance were important to coders to ensure accuracy of PI reporting: (1) training prior to initiation of coding activity and (2) continued education, and (3) audit and feedback communication about how to handle specific complex cases and complex documentation. From a behavioral perspective, most of the coders reported confidence in their own abilities and were open to changes in coding standards. Transitioning from paper-based to electronic records highlighted the need to improve training of both clinicians and coders.

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Tài liệu tham khảo

Team, 2020, Pressure injury data in Australian acute care settings: A comparison of three data sets, Inte Wound J., 17, 578, 10.1111/iwj.13320

Weller, 2018, Pressure injury identification, measurement, coding, and reporting: key challenges and opportunities, Int Wound J., 15, 417, 10.1111/iwj.12879

Taylor, 2018, Documentation of pressure injuries in the intensive care unit: Inconsistencies exist between incident reporting and medical notes, Aust Crit Care., 31, 133, 10.1016/j.aucc.2017.12.059

Barakat-Johnson, 2018, Hospital-acquired pressure injuries: are they accurately reported? A prospective descriptive study in a large tertiary hospital in Australia, J Tissue Viabil., 27, 203, 10.1016/j.jtv.2018.07.003

Emily, 2019, Prevention and Treatment of Pressure Ulcers/Injuries: Clinical Practice Guideline

Latimer, 2019, Pressure injury prevalence and predictors among older adults in the first 36 hours of hospitalisation, J Clin Nurs., 28, 4119, 10.1111/jocn.14967

Sianes-Gallén, 2021, Pressure injuries during the SARS-CoV-2 pandemic: A retrospective, case-control study, J Tissue Viability., 30, 478, 10.1016/j.jtv.2021.07.011

Deschepper, , Heterogeneity hampers the identification of general pressure injury risk factors in intensive care populations: A predictive modelling analysis, 2021, 103117, 10.1016/j.iccn.2021.103117

Labeau, 2021, Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study, Intensive Care Med., 47, 503, 10.1007/s00134-020-06327-5

Team, 2021, Pressure injury prevention in COVID-19 patients with acute respiratory distress syndrome, Front Med (Lausanne), 7, 558696, 10.3389/fmed.2020.558696

Team, 2021, Prevention of hospital-acquired pressure injury in COVID-19 patients in the prone position, Intensive Crit Care Nurs, 68, 103142, 10.1016/j.iccn.2021.103142

Binda, 2021, Complications of prone positioning in patients with COVID-19: a cross-sectional study, Intensive Crit Care Nurs., 67, 103088, 10.1016/j.iccn.2021.103088

Ibarra, 2021, Prone position pressure sores in the COVID-19 pandemic: the Madrid experience, J Plast Reconst Aesthet Surg., 74, 2141, 10.1016/j.bjps.2020.12.057

Shearer, 2021, Facial Pressure Injuries from Prone Positioning in the COVID-19 Era, Laryngoscope., 131, E2139, 10.1002/lary.29374

Jiang, 2020, The face of COVID-19: facial pressure wounds related to prone positioning in patients undergoing ventilation in the intensive care unit, Otolaryngol Head Neck Surg., 164, 300, 10.1177/0194599820951470

Padula, 2019, The national cost of hospital-acquired pressure injuries in the United States, Int Wound J., 16, 634, 10.1111/iwj.13071

Kayser, 2019, Predictors of superficial and severe hospital-acquired pressure injuries: a cross-sectional study using the International Pressure Ulcer Prevalence™ survey, Int J Nurs Stud., 89, 46, 10.1016/j.ijnurstu.2018.09.003

Nguyen, 2015, Pressure injury in Australian public hospitals: a cost-of-illness study, Aust Health Rev., 39, 329, 10.1071/AH14088

Padula, 2014, A Framework of quality improvement interventions to implement evidence-based practices for pressure ulcer prevention, Adv Skin Wound Care, 27, 280, 10.1097/01.ASW.0000450703.87099.5b

Niederhauser, 2012, Comprehensive programs for preventing pressure ulcers: a review of the literature, Adv Skin Wound Care, 25, 167, 10.1097/01.ASW.0000413598.97566.d7

Smith, 2018, Evaluation of a multifactorial approach to reduce the prevalence of pressure injuries in regional Australian acute inpatient care settings, Int Wound J., 15, 95, 10.1111/iwj.12840

Lin, 2020, The effectiveness of multicomponent pressure injury prevention programs in adult intensive care patients: a systematic review, Int J Nurs Stud., 102, 103483, 10.1016/j.ijnurstu.2019.103483

Team, 2021, Pressure injury surveillance and prevention in Australia: monash partners capacity building framework, Front Public Health, 9, 634669, 10.31219/osf.io/63tgp

Shepheard, 2019, Clinical coding and the quality and integrity of health data, Health Inf Manag J., 49, 3, 10.1177/1833358319874008

Hay, 2019, The importance of clinical documentation improvement for Australian hospitals, Health Inf Manag J., 49, 69, 10.1177/1833358319854185

Liu, 2021, Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes, npj Dig Med., 4, 103, 10.1038/s41746-021-00474-9

Michie, 2005, Making psychological theory useful for implementing evidence based practice: a consensus approach, BMJ Qual Saf., 14, 26, 10.1136/qshc.2004.011155

Atkins, 2017, A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems, Implement Sci., 12, 77, 10.1186/s13012-017-0605-9

Tang, 2017, Coder perspectives on physician-related barriers to producing high-quality administrative data: a qualitative study, CMAJ Open., 5, E617, 10.9778/cmajo.20170036

Doktorchik, 2020, A qualitative evaluation of clinically coded data quality from health information manager perspectives, Health Inf Manag., 49, 19, 10.1177/1833358319855031

Mitra, 2016, Chapter 1: introduction to quality control and the total quality system, Fundamentals of Quality Control and Improvement 4th ed e-Book, 3

Haardörfer, 2019, Taking quantitative data analysis out of the positivist era: calling for theory-driven data-informed analysis, Health Educ Behav., 46, 537, 10.1177/1090198119853536

MacFarlane, 2011, Using a theory-driven conceptual framework in qualitative health research, Qual Health Res., 22, 607, 10.1177/1049732311431898

2016, Health Information Workforce Summit Report 2015

Rondinelli, 2018, Hospital-acquired pressure injury: risk-adjusted comparisons in an integrated healthcare delivery system, Nurs Res., 67, 16, 10.1097/NNR.0000000000000258

Ho, 2017, Validation of two case definitions to identify pressure ulcers using hospital administrative data, BMJ Open., 7, e016438, 10.1136/bmjopen-2017-016438

Alonso, 2019, Health records as the basis of clinical coding: Is the quality adequate? A qualitative study of medical coders' perceptions, Health Inf Manag J., 49, 28, 10.1177/1833358319826351

Glen, 2015, Simple interventions can greatly improve clinical documentation: a quality improvement project of record keeping on the surgical wards at a district general hospital, BMJ Qual Improv Rep, 4, u208191, 10.1136/bmjquality.u208191.w3260

Jacobson, 2016, Enhancing documentation of pressure ulcer prevention interventions: a quality improvement strategy to reduce pressure ulcers, J Nurs Care Qual., 31, 207, 10.1097/NCQ.0000000000000175

Richardson, 2017, Reducing the incidence of pressure ulcers in critical care units: a 4-year quality improvement, Int J Qual Health Care., 29, 433, 10.1093/intqhc/mzx040

Soban, 2017, Organisational strategies to implement hospital pressure ulcer prevention programmes: findings from a national survey, J Nurs Manag., 25, 457, 10.1111/jonm.12416

Sankovich, 2019, The impact of education and feedback on the accuracy of pressure injury staging and documentation by bedside nurses, Patient Safety., 1, 10, 10.33940/HAPI/2019.9.2

Muinga, 2021, Designing paper-based records to improve the quality of nursing documentation in hospitals: a scoping review, J Clin Nurs., 30, 56, 10.1111/jocn.15545

Jones, 2020, A quality improvement project to improve documentation and awareness of limitations of life-sustaining therapies, Pediatr Qual Saf, 5, e304-e, 10.1097/pq9.0000000000000304

Karp, 2019, Changes in efficiency and quality of nursing electronic health record documentation after implementation of an admission patient history essential data set, Comput Inform Nurs, 37, 260, 10.1097/CIN.0000000000000516

Tubaishat, 2015, Electronic versus paper records: documentation of pressure ulcer data, Br J Nurs, 24, S30, 10.12968/bjon.2015.24.Sup6.S30

Abdulla, 2020, Improving the quality of clinical coding and payments through student doctor–coder collaboration in a tertiary haematology department, BMJ Open Qual., 9, e000723, 10.1136/bmjoq-2019-000723

Jedwab, 2019, Measuring nursing benefits of an electronic medical record system: a scoping review, Collegian., 26, 562, 10.1016/j.colegn.2019.01.003

Baumann, 2018, The impact of electronic health record systems on clinical documentation times: a systematic review, Health Policy., 122, 827, 10.1016/j.healthpol.2018.05.014

Improving the quality of clinical coding: a comprehensive audit model3640 MoghaddasiH RabieiR SadeghiN Health Manag Inf Sci.12014

2014, The Quality of Clinical Coding in the NHS, Payment by Results Data Assurance Framework

Campbell, 2019, Computer-assisted clinical coding: a narrative review of the literature on its benefits, limitations, implementation and impact on clinical coding professionals, Health Inf Manag J., 49, 5, 10.1177/1833358319851305

Jackson, 2016, Towards international consensus on patient harm: perspectives on pressure injury policy, J Nurs Manag., 24, 902, 10.1111/jonm.12396

Paoin, 2018, Development of the ICD-10 simplified version and field test, Health Inf Manag., 47, 77, 10.1177/1833358317701277