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Knowledge, attitudes, and practice toward postoperative cognitive dysfunction among anesthesiologists in China: a cross-sectional study

Abstract

Background

To investigate the knowledge, attitudes, and practice (KAP) toward postoperative cognitive dysfunction (POCD) among anesthesiologists in China.

Methods

This cross-sectional study was conducted nationwide among Chinese anesthesiologists between December 2022 and January 2023. The demographic information and KAP scores of the respondents were collected using a web-based questionnaire. The mean KAP dimension scores  60% were considered good.

Results

This study enrolled 1032 anesthesiologists (51.2% male). The mean total scores of knowledge, positive attitude, and positive practice were 9.3 ± 1.2 (max 12), 34.8 ± 3.3 (max 40), and 30.6 ± 6.7 (max 40), respectively. The knowledge items with correctness scores < 60% were “the anesthetic drugs that tend to cause POCD” (23.3%) and “Treatment of POCD” (40.3%). Multivariable analysis showed that  40 years old, master’s degree or above, intermediate professional title (i.e., attending physician), senior professional title (i.e., chief physician), and working in tertiary hospitals were independently associated with adequate knowledge. Multivariable analysis showed that the attitude scores, middle professional title, and  16 years of experience were independently associated with good practice.

Conclusions

These results suggest that Chinese anesthesiologists have good knowledge, favorable attitudes, and good practice toward POCD. Still, some points remain to be improved (e.g., the drugs causing POCD and managing POCD) and should be emphasized in training and continuing education.

Trial registration

ChiCTR2200066749.

Peer Review reports

Background

Postoperative cognitive dysfunction (POCD) is characterized clinically by subtle symptom onset (typically noticed weeks to months after surgery), mild cognitive decline with improvement within weeks to months of surgery (rarely persists for years), impairment involving memory, learning, concentration, attention, and/or psychomotor performance, and alert mental status with the maintenance of orientation to person, place, and time [1]. POCD might be reversible in days to months, but if it persists beyond > 12 months postoperatively, the standard DSM 5 nomenclature is suggested (mild or major neurocognitive disorder) without the use of the “postoperative” classifier [2]. The reported incidence is 5-55% in older patients, but the wide range is due to the surgery type and the definitions used [1]. POCD may occur in patients of any age but is most common in older patients. General anesthesia exposure is associated with an increased risk of intraoperative hypotension in adults aged > 50 years [3, 4]. General and regional anesthesia might be associated with similar cognitive outcomes  7 days postoperatively in adults [5]. Bispectral index-guided anesthesia might reduce the risk of POCD [6]. Bispectral index-guided anesthesia may reduce the risk of POCD, and the type of anesthetic used may also influence the occurrence of POCD depending on the patient’s characteristics and the type of surgery [7]. Besides selecting the anesthetic agents [8, 9], effective non-pharmacological measures are available to decrease the risk of POCD and shorten, including getting the patient out of bed as soon as possible after surgery and maintaining continuous contact with other people [10]. Preventing POCD while avoiding polypharmacy and providing adequate pain control are important goals for anesthesiologists [11]. Therefore, anesthesiologists must be aware of POCD.

Knowledge, attitudes, and practice (KAP) studies are surveys designed to provide quantitative and qualitative data to identify gaps that could be barriers to a specific activity in a specific population [12, 13]. KAP studies are particularly useful for planning behavioral change interventions [12, 13]. A German study showed that the awareness of physicians toward POCD, especially persisting POCD, was low [14]. Still, the exact KAP toward POCD among Chinese anesthesiologists is unknown.

Therefore, this study aimed to investigate the KAP toward POCD among Chinese anesthesiologists and explore the factors influencing KAP.

Methods

This cross-sectional study was conducted nationwide from December 2022 to January 2023. The inclusion criteria were (1) board-certified anesthesiologists and (2) anesthetic practice for at least 6 months. This study was ethically approved by the Ethics Committee of the Second Affiliated Hospital of Jiaxing University (approval No: 2022ZFYJ245-01). Written informed consent was obtained from each participant before he/she completed the questionnaire. This study was registered with the Chinese Clinical Trials Registry (registration No. ChiCTR2200066749). Registration link https://www.chictr.org.cn/showproj.html?proj=186869.

Data collection

The questionnaire was designed after referring to the relevant literature [15, 16] and was revised based on the comments made by three senior experts. Two rounds of correspondence were conducted for content validity. In the first round, two anesthesiologists and one epidemiologist were selected, and according to their opinions, we added questions about POCD attitude and practice. In the second round, one anesthesiologist and one epidemiologist were selected, and the questions about POCD pathogenesis, treatment, and prevention were changed from single-choice to multiple-choice according to their opinions. Forty-three anesthesiologists were randomly selected to perform an internal consistency reliability test with a Cronbach’s α of 0.86. The questionnaires were edited and handled through the Sojump online platform (https://www.wjx.cn/app/survey.aspx). Publicity was sent to the anesthesiologists through newsletters, with a QR code to the questionnaire. The anesthesiologists interested in completing and returning the questionnaire simply had to scan the QR code. Participants were assured of anonymity during the survey process. At the beginning of the questionnaire, the respondents were asked for informed consent. If the participants had to tick “yes” to the statement “I consent to participate in this survey and to my data being used for research purposes” to access the questionnaire. Not ticking the “yes” box indicated that the participant did not consent to participate in the study and could not complete the questionnaire. Only one questionnaire could be submitted from an IP address. Incomplete questionnaires, those with obvious filling patterns (e.g., all first choices), questionnaires with logic errors, and those that took < 3 min to complete were excluded.

The final self-administered anonymous questionnaire was in Chinese and contained four dimensions: demographic information (age, gender, education, professional title, years of anesthetic practice after obtaining board certification, and hospital grade), knowledge dimension, attitude dimension, and practice dimension. Physician title is divided into four levels: primary title (physician and physician resident), intermediate title (attending physician), deputy senior title (deputy chief physician), and senior title (chief physician).

The knowledge dimension consisted of 12 questions, scored 1 point for correct answers and 0 points for incorrect or unclear answers, ranging from 0 to 12 points. The attitude dimension consisted of eight questions using a 5-point Likert scale, with positive attitude questions assigned 5 to 1 point from “Strongly Agree” to “Strongly Disagree” and negative attitude questions (items A5 and A7) were assigned points in reverse; the total score ranged from 8 to 40 points. The practice dimension contained eight questions, also using a 5-point Likert scale, ranging from “Always” (5 points) to “Never” (1 point), and ranging from 8 to 40 points. The mean KAP dimension scores  60% were considered good [17] (i.e., > 7.2 for knowledge, > 24 for attitude, and > 24 for practice). The mean values of the KAP scores were used as the cut-off values, and anesthesiologists with scores above the mean value were considered to have adequate knowledge, positive attitude, and good practice.

Statistical analysis

The normal distribution of the continuous data was confirmed using the Kolmogorov-Smirnov test. The continuous variables were expressed as mean ± standard deviations (SD) and analyzed using Student’s t-test and ANOVA. Categorical data were expressed as n (%) and analyzed using the chi-square test. Univariable and multivariable analyses were conducted using logistic regression to analyze the factors influencing KAP. The enter method was used to screen the variables, and the variables with P < 0.05 in the univariable analyses were included in the multivariable analysis. All statistical analyses were performed using SPSS 26.0 (IBM, Armonk, NY, USA). Two-sided P-values < 0.05 were considered statistically significant.

Results

Characteristics of the participants

A total of 1092 questionnaires were received in this study. After excluding 18 participants who refused to participate in the study, 27 questionnaires had logical errors in the answers, and 15 questionnaires completed the survey within 3 min. Finally, 1032 questionnaires (1032 participants) were valid and included in the analysis. The highest frequencies of participants were observed in the following categories: 31–40 years old (40.2%), male (51.2%), with a master’s degree or above (35.2%), with a senior title (37.5%), with  16 years of experience (40.1%) and working in tertiary hospitals (72.6%) (Table 1). Among them, 537 participants were from Zhejiang, 198 were from Jiangsu, and 57 were from Shanghai (Supplementary Table S1).

Table 1 Characteristics of the participants

Knowledge, attitudes, and practice

The mean knowledge score was 9.3 ± 1.2 (max 12). Knowledge scores were associated with age (P < 0.001), education (P < 0.001), professional title (P < 0.001), experience (P < 0.001), and hospital level (P < 0.001) (Table 1). The knowledge items with correctness scores < 60% were “the anesthetic drugs that tend to cause POCD” (23.26%) and “Treatment of POCD” (40.31%). All other items were correctly answered by  60% of the participants (Table 2).

Table 2 Correctness of knowledge

The mean attitude score was 34.8 ± 3.3 (max 40). The attitude scores were associated with professional titles (P = 0.018) (Table 1). Supplementary Table S2 shows the distribution of the attitudes.

The mean practice score was 30.6 ± 6.7 (max 40). The practice scores were associated with age (P < 0.001), professional titles (P < 0.001), and experience (P < 0.001) (Table 1). The distribution of the practice evaluation is presented in Supplementary Table S3.

Factors associated with knowledge, attitudes, and practice

The multivariable analysis showed that  40 years old (OR = 0.440, 95%CI: 0.201–0.963, P = 0.040), master’s degree or above (vs. bachelor’s degree or below, OR = 1.405, 95%CI: 1.042–1.895, P = 0.026), middle professional title (OR = 2.185, 95%CI: 1.009–4.733, P = 0.047), senior professional title (OR = 4.704, 95%CI: 1.988–11.127, P < 0.001), and working in tertiary hospitals (OR = 1.567, 95%CI: 1.167–2.102, P = 0.003) were independently associated with adequate knowledge of anesthesiologists toward POCD (Table 3). Moreover, according to the results shown in Table 4, only the knowledge score was associated with a favorable attitude in the univariable analysis (OR = 1.319, 95%CI: 1.220–1.423, P < 0.001). Therefore, no multivariable analysis was further conducted. Finally, the multivariable analysis revealed that good practice was independently associated with attitude scores (OR = 1.144, 95% CI: 1.098–1.192, P < 0.001), middle professional title (OR = 0.397, 95% CI: 0.185–0.854, P = 0.018), and more than 16 years of experience (OR = 2.714, 95% CI: 1.172–6.285, P = 0.020) (Table 5).

Table 3 Multivariable analysis of knowledge
Table 4 Univariable analysis of attitude
Table 5 Multivariable analysis of practice

Discussion

The study findings showed that Chinese anesthesiologists possess good knowledge, hold favorable attitudes, and have active practices toward POCD. However, there are areas where improvement is needed. The results of this study could be used to design training programs that will improve the KAP of anesthesiologists concerning the prevention and management of POCD.

POCD is an important medical issue in patients undergoing surgery [1, 18]. The present study showed good KAP toward POCD in Chinese anesthesiologists, while a German study showed that the awareness of POCD was higher in nurses than in physicians [14]. Similar results were observed in Sweden [19]. The present study generally showed that the knowledge of POCD improved with experience and professional title, which are often interrelated. Importantly, POCD can be prevented by non-pharmacologic approaches [10]. Still, the present study showed that Chinese anesthesiologists had poor knowledge of the drugs that cause POCD and how to manage it once it occurs. Hence, training programs will have to emphasize these two aspects in the future. Indeed, intraoperative hypotension is a clear cause of POCD [3, 4], while several anesthetics and clinical parameters are considered possible risk factors of POCD, including fentanyl, ketamine, lidocaine, magnesium sulfate infusion, piracetam, steroids, benzodiazepines, general vs. regional anesthesia, bispectral index, and monitoring based on copeptin levels, inflammatory markers, and glycemia, among others [5, 20,21,22,23,24,25]. Of note, a study in Germany showed that the implementation of mandatory training on the cognitive impacts of surgery was low [26]. In addition, existing strategies focus on screening and therapy after surgery or intensive care [19, 27], but a holistic approach appears to be missing [28]. In addition, guidelines do not address who is responsible for risk detection and communication [19, 27]. Therefore, authoritative organizations and decision-makers must also play a role in improving healthcare providers’ knowledge of POCD.

Although the survey showed that anesthesiologists have favorable attitudes and good practice toward POCD, only correct knowledge can lead to correct actions [29]. In fact, there is a lack of guidance on POCD in clinical practice, which makes anesthesiologists take different approaches toward POCD. Previous studies showed that the KAP of anesthesiologists toward POCD is low [14, 19], probably due to rare systematic POCD education and training. Therefore, some authors suggest that knowledge about perioperative brain dysfunction should be included in the basic education curriculum of anesthesiology training. Unfortunately, there are no relevant guidelines or consensuses in China. Such consensuses should be reached by experts.

In terms of training methods, anesthesiologists could use online learning software for POCD-specific knowledge through network platforms to facilitate fragmented learning, and continuous education activities could be designed and implemented. In terms of training content, the impact of anesthetic drugs on POCD and POCD treatment should be advocated as the focus of education and training, and the core principles of POCD prevention and treatment should be emphasized to improve the fundamental anesthesiologist’s management ability of POCD. The present study highlighted that the anesthesiologists had poorer knowledge regarding the drugs that can cause POCD and how to manage POCD. Such knowledge should be improved. In terms of quality control, it is suggested to attach importance to POCD management, establish relevant assessment mechanisms, and improve the standardized management level of anesthesiologists’ KAP toward POCD.

According to the KAP theory [12, 13], knowledge is the theoretical basis for practice, while attitude is the force driving practice. Still, in the present study, knowledge did not directly affect practice. Several reasons could account for that. It could be related to the way the questions are formulated. A KAP survey is a questionnaire that skims the general KAP toward a subject without going into details. It could also be because some actions are performed out of habits or according to teaching but without knowing the exact theory of why it is performed. The present study was not designed to determine why knowledge was not directly related to practice. For example, knowledge items pertaining to the drugs causing POCD and how to manage POCD showed poor knowledge about those two items, but there are no practice questions about the drugs, and the only practice question about POCD management is about referral to attending physicians and neurologists. Additional studies will be necessary to examine that issue.

A strength of this study was its nationwide nature. Still, it also had limitations. Although this study was advertised in newsletters, it was clear that older, more experienced anesthesiologists working at tertiary hospitals were enrolled, probably biasing the results. In addition, because the anesthesiologists interested in participating in the study simply had to scan the QR code, the response rate could not be calculated. Even though tertiary hospitals more frequently undertake specialized procedures than non-tertiary hospitals (primary and secondary hospitals), the emergent or routine procedures that require general anesthesia and are performed in non-tertiary hospitals also involve a risk of POCD [20]. Furthermore, KAP surveys essentially record an “opinion” based on the survey statements. Therefore, the KAP survey reveals what was said, but there is a possibility of considerable gaps between what was said and what was done.

Conclusions

Chinese anesthesiologists have good knowledge, favorable attitudes, and active practice toward POCD. Nevertheless, some areas of KAP (e.g., the drugs causing POCD and managing POCD) were identified as needing improvements. Those areas will have to be included and highlighted in future training programs during residency or as continuing education activities.

Data availability

All data generated or analyzed during this study are included in this published article.

Abbreviations

KAP:

knowledge, attitudes, and practice

POCD:

postoperative cognitive dysfunction

References

  1. Tasbihgou SR, Absalom AR. Postoperative neurocognitive disorders. Korean J Anesthesiol. 2021;74:15–22.

    Article  Google Scholar 

  2. Belrose JC, Noppens RR. Anesthesiology and cognitive impairment: a narrative review of current clinical literature. BMC Anesthesiol. 2019;19:241.

    Article  Google Scholar 

  3. Kouz K, Hoppe P, Briesenick L, Saugel B. Intraoperative hypotension: pathophysiology, clinical relevance, and therapeutic approaches. Indian J Anaesth. 2020;64:90–6.

    Article  Google Scholar 

  4. Wesselink EM, Kappen TH, Torn HM, Slooter AJC, van Klei WA. Intraoperative hypotension and the risk of postoperative adverse outcomes: a systematic review. Br J Anaesth. 2018;121:706–21.

    Article  Google Scholar 

  5. Davis N, Lee M, Lin AY, Lynch L, Monteleone M, Falzon L, et al. Postoperative cognitive function following general versus regional anesthesia: a systematic review. J Neurosurg Anesthesiol. 2014;26:369–76.

    Article  Google Scholar 

  6. Zhao Z, Liu W. Pancreatic Cancer: a review of risk factors, diagnosis, and treatment. Technol Cancer Res Treat. 2020;19:1533033820962117.

    Article  Google Scholar 

  7. Huang X, Sun Y, Lin D, Wei C, Wu A. Effect of perioperative intravenous lidocaine on the incidence of short-term cognitive function after noncardiac surgery: a meta-analysis based on randomized controlled trials. Brain Behav. 2020;10:e01875.

    Article  Google Scholar 

  8. Inouye SK, Westendorp RG, Saczynski JS. Delirium in elderly people. Lancet. 2014;383:911–22.

    Article  Google Scholar 

  9. Inouye SK, Marcantonio ER, Metzger ED. Doing damage in Delirium: the hazards of Antipsychotic Treatment in Elderly persons. Lancet Psychiatry. 2014;1:312–5.

    Article  Google Scholar 

  10. Zoremba N, Coburn M. Acute Confusional States in Hospital. Dtsch Arztebl Int. 2019;116:101–6.

    Google Scholar 

  11. Olotu C, Weimann A, Bahrs C, Schwenk W, Scherer M, Kiefmann R. The Perioperative Care of older patients. Dtsch Arztebl Int. 2019;116:63–9.

    Google Scholar 

  12. Andrade C, Menon V, Ameen S, Kumar Praharaj S. Designing and conducting knowledge, attitude, and practice surveys in Psychiatry: practical Guidance. Indian J Psychol Med. 2020;42:478–81.

    Article  Google Scholar 

  13. World Health Organization. Advocacy, communication and social mobilization for TB control: a guide to developing knowledge, attitude and practice surveys. http://whqlibdoc.who.int/publications/2008/9789241596176_eng.pdf. Accessed November 22, 20222008.

  14. Sturm H, Wildermuth R, Stolz R, Bertram L, Eschweiler GW, Thomas C, et al. Diverging awareness of postoperative delirium and cognitive dysfunction in German Health Care Providers. Clin Interv Aging. 2019;14:2125–35.

    Article  Google Scholar 

  15. Daiello LA, Racine AM, Yun Gou R, Marcantonio ER, Xie Z, Kunze LJ, et al. Postoperative delirium and postoperative cognitive dysfunction: overlap and divergence. Anesthesiology. 2019;131:477–91.

    Article  Google Scholar 

  16. Hua M, Min J. Postoperative cognitive dysfunction and the Protective effects of enriched environment: a systematic review. Neurodegener Dis. 2020;20:113–22.

    Article  Google Scholar 

  17. He J, Yang W, He Q, Tang Y, Wang Y, Wang G, et al. Chinese pregnant women’s knowledge, attitude, and practice of self-protection against coronavirus disease 2019 during the post-pandemic period: a structural equation modeling-based survey. Int J Disaster Risk Reduct. 2023;87:103559.

    Article  Google Scholar 

  18. Aurini L, White PF. Anesthesia for the elderly outpatient. Curr Opin Anaesthesiol. 2014;27:563–75.

    Article  Google Scholar 

  19. Jildenstal PK, Rawal N, Hallen JL, Berggren L, Jakobsson JG. Perioperative management in order to minimise postoperative delirium and postoperative cognitive dysfunction: results from a Swedish web-based survey. Ann Med Surg (Lond). 2014;3:100–7.

    Article  Google Scholar 

  20. Berger M, Nadler JW, Browndyke J, Terrando N, Ponnusamy V, Cohen HJ, et al. Postoperative cognitive dysfunction: minding the gaps in our knowledge of a common postoperative complication in the Elderly. Anesthesiol Clin. 2015;33:517–50.

    Article  Google Scholar 

  21. Cascella M, Bimonte S. The role of general anesthetics and the mechanisms of hippocampal and extra-hippocampal dysfunctions in the genesis of postoperative cognitive dysfunction. Neural Regen Res. 2017;12:1780–5.

    Article  Google Scholar 

  22. Pang QY, Duan LP, Jiang Y, Liu HL. Effects of inhalation and propofol anaesthesia on postoperative cognitive dysfunction in elderly noncardiac surgical patients: a systematic review and meta-analysis. Med (Baltim). 2021;100:e27668.

    Article  Google Scholar 

  23. Bocskai T, Kovacs M, Szakacs Z, Gede N, Hegyi P, Varga G, et al. Is the bispectral index monitoring protective against postoperative cognitive decline? A systematic review with meta-analysis. PLoS ONE. 2020;15:e0229018.

    Article  Google Scholar 

  24. Dong S, Li CL, Liang WD, Chen MH, Bi YT, Li XW. Postoperative plasma copeptin levels independently predict delirium and cognitive dysfunction after coronary artery bypass graft surgery. Peptides. 2014;59:70–4.

    Article  Google Scholar 

  25. Feinkohl I, Winterer G, Pischon T. Diabetes is associated with risk of postoperative cognitive dysfunction: a meta-analysis. Diabetes Metab Res Rev. 2017;33.

  26. Hendlmeier I, Bickel H, Hessler JB, Weber J, Junge MN, Leonhardt S, et al. [Dementia friendly care services in general hospitals: Representative results of the general hospital study (GHoSt)]. Z Gerontol Geriatr. 2018;51:509–16.

    Article  Google Scholar 

  27. Kotekar N, Shenkar A, Nagaraj R. Postoperative cognitive dysfunction - current preventive strategies. Clin Interv Aging. 2018;13:2267–73.

    Article  Google Scholar 

  28. Johansson YA, Bergh I, Ericsson I, Sarenmalm EK. Delirium in older hospitalized patients-signs and actions: a retrospective patient record review. BMC Geriatr. 2018;18:43.

    Article  Google Scholar 

  29. Manns BJ. Evidence-based decision making 5: knowledge translation and the knowledge to Action Cycle. Methods Mol Biol. 2021;2249:467–82.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was funded by the Zhejiang Medical Health Science and Technology Program (2020KY318) and the Jiaxing City Science and Technology Plan (2019AY32016).

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Authors and Affiliations

Authors

Contributions

LH: This author helped carry out the studies, participated in collecting data, and drafted the manuscript, SK: This author helped carry out the studies, participated in collecting data, and drafted the manuscript, EDA: This author helped perform the statistical analysis and participated in its design, Jian Lu: This author helped perform the statistical analysis and participated in its design, QYP: This author helped perform the statistical analysis and participated in its design, Hao Yang: This author helped perform the statistical analysis and participated in its design, BZ: This author helped participate in the acquisition, analysis, or interpretation of data and draft the manuscript, HMZ: This author helped participate in the acquisition, analysis, or interpretation of data and draft the manuscript, All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Hongmei Zhou or Bin Zhang.

Ethics declarations

Ethics approval and consent to participate

The study was carried out after the protocol was approved by the Ethics Committee of the Second Hospital of Jiaxing (2022ZFY245-01). I confirm that all methods were performed in accordance with the relevant guidelines. All procedures were performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments, and informed consent was obtained from all participants.

Clinical trial number and registry URL

This study was registered with the Chinese Clinical Trials Registry (registration No. ChiCTR2200066749). Registration link https://www.chictr.org.cn/showproj.html?proj=186869.

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Not applicable.

Competing interests

The authors declare no competing interests.

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Hu, L., Kang, S., Peng, Q. et al. Knowledge, attitudes, and practice toward postoperative cognitive dysfunction among anesthesiologists in China: a cross-sectional study. BMC Med Educ 24, 359 (2024). https://doi.org/10.1186/s12909-024-05358-6

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