References

Peri-operative analgesia for robot assisted laparoscopic prostatectomy—comparison of spinal plus general anaesthesia vs usual practice. 2022. 2022. https://tinyurl.com/m2z2a8ff (accessed 12 April 2022)

Boochever SS. HIS/RIS/PACS integration: getting to the gold standard. Radiol Manage. 2004; 26:(3)16-24

Bowman S. Coordinating SNOMED-CT and ICD-10. J AHIMA. 2005; 76:(7)60-61

Chouchou F, Khoury S, Chauny JM, Denis R, Lavigne GJ. Postoperative sleep disruptions: a potential catalyst of acute pain?. Sleep Med Rev. 2014; 18:(3)273-282 https://doi.org/10.1016/j.smrv.2013.07.002

Cimino JJ, Patel VL, Kushniruk AW. Studying the human-computer-terminology interface. J Am Med Inform Assoc. 2001; 8:(2)163-173 https://doi.org/10.1136/jamia.2001.0080163

Correia MDL, Duran ECM. Conceptual and operational definitions of the components of the nursing diagnosis. Acute pain (00132). Rev Lat Am Enfermagem. 2017; 25:(0) https://doi.org/10.1590/1518-8345.2330.2973

Clinical audit of adult pain management in Derriford Hospital emergency department. 2016. https://www.derriforded.com/derriford-audit-posters.html (accessed 12 April 2022)

Dansie EJ, Turk DC. Assessment of patients with chronic pain. Br J Anaesth. 2013; 111:(1)19-25 https://doi.org/10.1093/bja/aet124

Darnall BD, Scheman J, Davin S, Burns JW, Murphy JL, Wilson AC, Kerns RD, Mackey SC. Pain psychology: a global needs assessment and national call to action. Pain Med. 2016; 17:(2)250-263 https://doi.org/10.1093/pm/pnv095

Faculty of Pain Medicine. cCore standards for pain management services in the UK. 2021. https://tinyurl.com/mrx62pdd (accessed 16 April 2022)

Finan PH, Goodin BR, Smith MT. The association of sleep and pain: an update and a path forward. J Pain. 2013; 14:(12)1539-1552 https://doi.org/10.1016/j.jpain.2013.08.007

Fletcher D, Stamer UM, Pogatzki-Zahn E Chronic postsurgical pain in Europe: an observational study. Eur J Anaesthesiol. 2015; 32:(10)725-734 https://doi.org/10.1097/EJA.0000000000000319

Gan TJ, Habib AS, Miller TE, White W, Apfelbaum JL. Incidence, patient satisfaction, and perceptions of post-surgical pain: results from a US national survey. Curr Med Res Opin. 2014; 30:(1)149-160 https://doi.org/10.1185/03007995.2013.860019

Glare P, Aubrey KR, Myles PS. Transition from acute to chronic pain after surgery. Lancet. 2019; 393:(10180)1537-1546 https://doi.org/10.1016/S0140-6736(19)30352-6

Hah JM, Bateman BT, Ratliff J, Curtin C, Sun E. Chronic opioid use after surgery: implications for perioperative management in the face of the opioid epidemic. Anesth Analg. 2017; 125:(5)1733-1740

Lavand'homme P. Transition from acute to chronic pain after surgery. Pain. 2017; 158 1:S50-S54 https://doi.org/10.1097/j.pain.0000000000000809

Lichtner V, Dowding D, Esterhuizen P Pain assessment for people with dementia: a systematic review of systematic reviews of pain assessment tools. BMC Geriatr. 2014; 14 https://doi.org/10.1186/1471-2318-14-138

Lichtner V, Dowding D, Allcock N The assessment and management of pain in patients with dementia in hospital settings: a multi-case exploratory study from a decision making perspective. BMC Health Serv Res. 2016; 16:(1) https://doi.org/10.1186/s12913-016-1690-1

Mac Neela P, Scott PA, Treacy MP, Hyde A. Nursing minimum data sets: a conceptual analysis and review. Nurs Inq. 2006; 13:(1)44-51 https://doi.org/10.1111/j.1440-1800.2006.00300.x

Mehl-Madrona L, Mainguy B, Plummer J. Integration of complementary and alternative medicine therapies into primary-care pain management for opiate reduction in a rural setting. J Altern Complement Med. 2016; 22:(8)621-626 https://doi.org/10.1089/acm.2015.0212

NANDA International. The structure of the nursing diagnosis statement when included in a care plan. Position statment. 2010. https://nanda.org/publications-resources/resources/position-statement/ (accessed 12 April 2022)

National Information Board and Department of Health and Social Care. Personalised health and care 2020. 2014. https://www.gov.uk/government/publications/personalised-health-and-care-2020 (accessed 12 April 2022)

National Pain Audit. National Pain Audit final report—November 2011. 2011. https://tinyurl.com/2znhdmm4 (accessed 12 April 2022)

NHS Digital. SCCI0034: SNOMED CT. 2020. https://tinyurl.com/2p96y6r9 (accessed 12 April 2022)

NHS Digital. The NHS Digital SNOMED CT browser. 2021. https://termbrowser.nhs.uk (accessed 19 April 2022)

The code: professional standards of practice and behaviour for nurses, midwives, and nursing associates.London: NMC; 2018

Pickering G, Marcoux M, Chapiro S An algorithm for neuropathic pain management in older people. Drugs Aging. 2016; 33:(8)575-583 https://doi.org/10.1007/s40266-016-0389-7

Radnovich R, Chapman CR, Gudin JA, Panchal SJ, Webster LR, Pergolizzi JV Acute pain: effective management requires comprehensive assessment. Postgrad Med. 2014; 126:(4)59-72 https://doi.org/10.3810/pgm.2014.07.2784

Richebé P, Capdevila X, Rivat C. Persistent postsurgical pain: pathophysiology and preventative pharmacologic considerations. Anesthesiology. 2018; 129:(3)590-607 https://doi.org/10.1097/ALN.0000000000002238

Sawilowsky S. New effect size rules of thumb. J Mod Appl Stat Methods. 2009; (8) https://doi.org/10.22237/jmasm/1257035100

Schug S, Palmer G, Scott D, Halliwell R, Trinca J. Acute pain management: scientific evidence.Melbourne: ANZCA and FPM; 2015

Serdar CC, Cihan M, Yücel D, Serdar MA. Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies. Biochem Med (Zagreb). 2021; 31:(1)27-53 https://doi.org/10.11613/BM.2021.010502

SNOMED International. User interface In: Example EMR EHR requirements guide. 2022a. https://tinyurl.com/3xb7xaxr (accessed 16 April 2022)

SNOMED International. Using statistical classifications. 2022b. https://tinyurl.com/2p8mn6a6 (accessed 16 April 2022)

SNOMED International. Enhancing EHR design with SNOMED CT. 2022c. https://tinyurl.com/bddmw38z (accessed 12 April 2022)

Stinson JN, Jibb LA, Nguyen C Development and testing of a multidimensional iPhone pain assessment application for adolescents with cancer. J Med Internet Res. 2013; 15:(3) https://doi.org/10.2196/jmir.2350

Tan G, Craine MH, Bair MJ Efficacy of selected complementary and alternative medicine interventions for chronic pain. J Rehabil Res Dev. 2007; 44:(2)195-222 https://doi.org/10.1682/JRRD.2006.06.0063

Van Vleck TT, Wilcox A, Stetson PD, Johnson SB, Elhadad N. Content and structure of clinical problem lists: a corpus analysis. AMIA Annu Symp Proc. 2008; 2008:753-757

Velazquez Cardona C, Rajah C, Mzoneli YN An audit of paediatric pain prevalence, intensity, and treatment at a South African tertiary hospital. Pain Rep. 2019; 4:(6) https://doi.org/10.1097/PR9.0000000000000789

Wall P, McMahon S, Koltzenburg M. Wall and Melzack's textbook of pain, 6th Edition. Philadelphia (PA): Elsevier/Churchill Livingstone; 2006

Zarean E, Azadeh A, Pirali H Association between depression, anxiety, and insomnia with musculoskeletal pain source: a multi-center study. Middle East Curr Psychiatry. 2021; 28 https://doi.org/10.1186/s43045-021-00083-y

Acute pain assessments and records: a pilot study of digital transformation

26 May 2022
13 min read
Volume 31 · Issue 10

Abstract

Background:

Pain is a leading cause of disability worldwide. Pain assessments are an essential part of evidence-based care and management. Among comparable care providers, there is variation in how nurses document assessments as well as the content in them, and there is a notable associated administrative burden.

Aims:

This study evaluated the impact and significance of a new, structured, digitised pain assessment form from quality, safety and efficiency standpoints.

Methods:

Samples of pain assessments were examined at three consecutive stages: first, the pre-existing form was used, then the new structured form was introduced and, finally, the structured form was taken away and nurses went back to completing the original form. Assessments were scored by two clinical analysts against 18 clinically defined pain-related characteristics and factors. The time taken to extract and interpret the assessments was also recorded. Statistically significant changes were assessed using Welch's t-tests and Fisher's exact tests.

Findings:

There was a significant improvement in data quality using the new structured form compared with the pre-existing template, including an increase in the capture of five safety-related variables. Less time was needed to extract and interpret data with the new form.

Conclusion:

Intelligent structured forms are highly effective for documenting pain assessments, and offer notable benefits in quality, safety, and efficiency.

Pain is an almost universally experienced phenomenon (Wall et al, 2006). As a physiological sensation, it serves to protect an organism from harm and limit damage. The influence of psychological factors on the perception of pain is well recognised (Darnall et al, 2016). Acute post-surgical pain can persist well beyond 3 months (Richebé et al, 2018). This chronic post-surgical pain can affect up to one in 10 surgical patients (Glare et al, 2019), with one in 100 experiencing intolerable pain (Fletcher et al, 2015).

While there are many risk factors for developing chronic post-surgical pain including mood, pre-existing pain and the use of pre-operative analgesia, the trajectory of the acute pain course in the days following surgery as well as the amount of time spent in severe pain seem to be important factors (Lavand'homme, 2017). This provides an opportunity for careful in-hospital monitor ing, which could potentially impact outcomes.

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