By Author
  By Title
  By Keywords

February 2022, Volume 72, Issue 2

Student Corner

Perioperative registries in resource-limited settings: The way forward for Pakistan

Authors: Usama Waqar  ( Year 3 MBBS Student, Medical College, Aga Khan University, Karachi, Pakistan. )
Shaheer Ahmed  ( Year 2 MBBS Student, Medical College, Islamabad Medical & Dental College, Islamabad, Pakistan. )
Ayesha Nasir Hameed  ( Year 3 MBBS Student, Medical College, Aga Khan University, Karachi, Pakistan. )
Namrah Aziz  ( Year 3 MBBS Student, Medical College, Aga Khan University, Karachi, Pakistan. )
Hina Inam  ( Department of Cardiothoracic Surgery, Aga Khan University Hospital, Karachi, Pakistan. )

Abstract

Capable of improving surgical quality, perioperative registries can allow performance benchmarking, reliable reporting and the development of risk-prediction models. Well established in high-income countries, perioperative registries remain limited in lower- and middle-income countries due to several challenges. First, ensuring comprehensive data entry forums to power the registries is difficult because of limited electronic medical records requiring sustained efforts to develop and integrate these into practice. Second, lack of adequate expertise and resources to develop and maintain registry software necessitates the involvement of software developers and information technology personnel. Third, case ascertainment and item completion are challenging secondary to poor-quality medical records and high loss-to-follow-up rates, requiring telemedicine initiatives as an adjunct to existing care for the assessment of post-discharge outcomes. Lastly, standardised coding of clinical terminology is warranted for ensuring interoperability of the registries for which adaptation of the existing disease and procedural codes can be a sustainable and cost-effective alternative to the development of new codes.

Keywords: Perioperative care, Registries, Evidence-based practice, Quality improvement, Pakistan.

 

DOI: https://doi.org/10.47391/JPMA.AKU-24

Introduction

 

In the field of surgery, regularly assessing trends in incidence of major postoperative complications is essential globally. For this purpose, the development of perioperative registries (PORs) has proved to be a reliable and cost-effective approach.1 PORs are high-quality datasets powered by sustained collaborations among multiple surgical facilities. These registries incorporate the findability, accessibility, interoperability and reusability (FAIR) principles of data management, allowing benchmarking of hospital performance, reliable reporting of postoperative outcomes, and development of risk-prediction models, collectively leading to improved quality of surgical care.2-4

In lower- and middle-income countries (LMICs), surgical facilities are burdened with inadequate quality of surgical care, owing to the challenges in building and maintaining surgical capacity in resource-constrained settings.5 Compared to high-income countries (HICs), such resource-limited environments require more sophisticated and targeted surgical capacity-building initiatives, considering the greater potential for improvements in the quality of surgical care. While PORs have been well established in HICs, their implementation remains limited in LMICs, including Pakistan.6

The current review was planned to highlight the multifarious benefits of implementing perioperative registries in resource-constrained environments, such as Pakistan, to discuss the potential challenges that can hinder this process, and to suggest potential solutions which can be incorporated in LMICs.

Why the registries?

 

PORs are essential to facilitate improvement in the existing quality of surgical care, to allow continuous surveillance, and to promote surgical research (Figure).

 

 

The quality of surgical care plays a decisive role in the morbidity, mortality and quality of life (QOL) of patients undergoing surgery. However, there is very limited evidence available evaluating the quality of perioperative care (POC) in low-resource settings.7 Research has shown that approximately 60% of avoidable deaths worldwide are secondary to low quality of care.6 Therefore, particularly for LMICs such as Pakistan, efforts in improving access to healthcare cannot sufficiently translate into better health outcomes without improvement in the quality of care.6,7

Utilisation of PORs to improve patient safety and quality of care warrants a stepwise approach. First, the quality of surgical care needs to be quantified using quality indicators. Ensuring that the selected quality indicators are both specific to assessing POC quality in an LMIC setting is imperative. Haller et al. identified several promising quality indicators that can be implemented as endpoints in the assessment of quality of surgical care even in resource-constrained settings. These included admission to the intensive care unit (ICU) within 14 days of surgery, length of hospital stay (LOS), surgical site infection (SSI), stroke, hospital readmission, and mortality within 30 days of index surgery.8

Second, the selected quality indicators need to be incorporated into hospital, regional, and national PORs in LMICs, including Pakistan. The data generated by these registries can subsequently allow the assessment of existing surgical practices and protocols, identify areas of improvement, and inform evidence-based decisions to ensure better quality of surgical care.3,6,9,10 The National Surgical Quality Improvement Programme by the American College of Surgeons (ACS-NSQIP) is one of the most widely used PORs globally. Compared to the incidence rates in earlier years, participation in ACS-NSQIP has shown annual risk reduction of 0.8% for mortality, 3.1% for one or more morbidity events, and 2.2% for SSIs.11

Additionally, evidence from these registries can also facilitate the development of risk prediction models for adverse surgical outcomes. Such models consider the relevant risk factors and predict the probability of adverse events post-surgery for individual patients, informing surgical decision-making. An example of such a model is the risk calculator by the Society of Thoracic Surgeons (STS), powered by its national perioperative database.12,13

Furthermore, PORs also allow healthcare workers, medical governing bodies, and policymakers an avenue for continuous surveillance. Data from these registries can allow evaluation of regional and centre-specific performance along with enabling comparison of different surgical practices in hospitals. Such registries can facilitate benchmarking of hospital performance, thus allowing for standardisation of high-quality and efficient surgical POC in hospitals across Pakistan.3,4

Another advantage of PORs is research facilitation, particularly in a resource-constrained setting, like Pakistan. A majority of existing surgical research evidence in Pakistan is based on single-centre experiences with inadequate quality to inform surgical practice.14 Consequently, evidence-based guidelines exist currently, but are usually powered by data extrapolated from HICs and upper-middle-income countries (UMICs).15 Regional and national PORs can generate high-quality evidence specifically for the Pakistani setting, facilitating evidence-based surgery in the country.

In addition, data from established registries can be used to explore the trends in patient demographics and risk factors for adverse surgical outcomes over time.16 This can facilitate research in disease epidemiology to gain better understanding and discern patterns of changing surgical indications in the population. PORs also provide an avenue to monitor the impact of different quality improvement interventions and guidelines using actual patient outcomes, demonstrating the translation of research into real-life practice.4 Data from registry-based observational studies can also inform evidence-based guidelines in instances where clinical trials are not available.16 With large datasets and subsequent integration, there is potential for national and international collaboration in research, combining the strengths of each individual database.3

 

Registries in Pakistan

 

In recent years, some surgeon-led collaborative approaches have successfully resulted in the implementation of a few institutional, national, and international PORs in Pakistan (Table).

 

 

Among the institutional registries, a classic example is that of the Karachi Trauma Registry (KITR) established by the Aga Khan University Hospital (AKUH) in October 2009. KITR is a locally developed, electronic registry that utilises data from existing medical records at the hospital. KITR has been able to generate surveillance data, such as injury mechanisms and burden of severe injuries, quality indicators, such as length of stay in the emergency department (ED), injury-to-arrival delay, and injury severity, and survival probability.17

With regards to the national registries, the Pakistan Registry of Intensive Care (PRICE) and the Pakistan National Joint Registry (PNJR) are currently functional. PRICE is a contemporaneous registry developed by the Pakistan Society of Critical Care Medicine (PSCCM), Intensive Care Society (ICS) of the United Kingdom, and the Network for Improving Critical Care Systems and Training (NICST). Being a clinician-led real-time registry, PRICE involves extensive collaboration between surgeons and administrative personnel involved in intensive care delivery, allowing the recruitment of ICUs from both public and private hospitals. Admission characteristics along with the diagnosis are documented for each admitted patient requiring intensive care. Data without any patient identifiers is displayed in control panels, facilitating the researchers to assess the trends in unit activity, severity of illness, bed occupancy and outcomes.18

PNJR is a voluntary project which has been conceived, designed, implemented and funded by the Pakistan Arthroplasty Society (PAS). Implant companies and hospitals can retrieve data from PNJR for conducting surgical research aimed at improving quality of care and safety for patients undergoing arthroplasties.19

Apart from the regional and national registries, Pakistan, being a resource-limited country, has not contributed significantly to the conception, design or implementation of any international POR. However, the AKUH has recently partnered with the ACS-NSQIP, contributing its patient data to this registry. ACS-NSQIP is a multi-institutional programme with currently 700 partnering hospitals worldwide. Trained surgical reviewers at each hospital collect data on numerous variables, including demographics, comorbidities, preoperative laboratory parameters, operative characteristics, and outcomes. ACS-NSQIP provides semi-annual reports to each hospital on the basis of the submitted data. This report benchmarks the performance of each hospital in comparison with the performance of an estimated average partnering ACS-NSQIP hospital performing the same procedures on the same patients. This allows hospitals to evaluate their performance compared to other partnering hospitals, driving continuous quality improvement initiatives.20,21

Despite these commendable efforts by the surgical community, the implementation of PORs remains limited in Pakistan. A majority of surgical facilities have not developed institutional registries and are not actively participating in national registries. Similarly, the ACS-NSQIP has not been implemented in most Pakistani hospitals. Considering the multifarious benefits of PORs, assessing the challenges involved in the implementation of these registries is imperative and can help identify the way forward for Pakistani surgical facilities.

 

Challenges and limitations in low-resource settings

 

Despite the commendable efforts by the surgical community, the number of PORs remains limited in Pakistan as is the case in other LMICs.22 As highlighted earlier, there is a dire need for surgical registry data from low-resource settings to improve patient safety and to regulate surgical practices. However, a low-resource environment poses several challenges to the establishment of such PORs.

First, the process of development and plot implementation for a POR begins with the establishment of a uniform and comprehensive data entry forum. However, electronic medical records (EMRs) are currently lacking in resource-limited settings.23 Implementation of EMRs warrants a higher cost of setup and maintenance in such settings, owing to poor existing infrastructure, frequent power outages, and network failures. Even in facilities that have implemented EMRs, utilisation mostly remains suboptimal secondary to the requirement of parallel data entry to paper and computer records, increasing the workload of already limited staff.23-26 As a result, administrative data from EMRs is currently inadequate to power PORs in several settings, making the surgeons primarily responsible for capturing data related to patient care.6 This situation warrants allocation of appropriate resources aimed at development and integration of sustainable administrative EMRs into the existing care to replace paper-based records. Such EMRs should also incorporate user-friendly software capable of continuous data synchronisation to safeguard data during potential power outages and network failures.

Second, PORs require efficient and secure software to power them. However, LMICs have limited expertise and resources for developing and maintaining appropriate registry software.17 This can potentially be resolved with appropriate training, recruitment and integration of software developers and information technology (IT) personnel in the existing healthcare systems. This integration will also contribute to the generation of new jobs which can potentially improve employment rates across the LMICs.

Third, case ascertainment and item completion for PORs pose multifarious obstacles. Appropriate and carefully selected clinicodemographic characteristics, comorbidities, preoperative laboratory parameters, operative characteristics, and quality indicators need to be incorporated into the PORs.17 However, data reporting and recording systems in most resource-constrained settings produce poor-quality data.28 In a recent study in Tanzania, history of patients, daily progress notes, and daily surgeon orders were not included in 24%, 59% and 71% of the medical records, respectively.29 In addition, the assessment of several surgical quality indicators requires following patients post-discharge till the 30th day of index surgery.8 The surgical population in LMICs experiences high loss-to-follow-up rates, ranging from 32% to 75%.30,31 This situation necessitates the development of standardised EMRs to improve case completeness and implementation of telemedicine initiatives as an adjunct to existing surgical care for adequate assessment of quality indicators in the LMICs.31,32 In addition, adequate and continuous training of administrative staff in data collection and development of comprehensive surgical checklists should be prioritised to improve data quality.

Lastly, when implementing PORs, it is essential to ensure the incorporation of the principle of interoperability.2 This standardised system of health information exchange among collaborating surgical facilities warrants technical system design considerations described earlier in addition to uniform coding of clinical terminology.33 For resource-limited settings, adaptation of existing disease and procedural codes, such as the International Classifications of Diseases (ICD) and Current Procedural Terminology (CPT) codes employed by the ACS-NSQIP, can be a more sustainable and cost-effective approach compared to the development of new codes.20

 

Conclusion

 

Establishing and implementing PORs is challenging in resource-limited environments, such as Pakistan. However, existing surgeon-led efforts have demonstrated that institutional and national bodies can collaborate and maintain PORs even in Pakistan. While these registries have been limited to a few partnering hospitals, they represent the first step towards a nationally representative Pakistani POR. Sustained contributions from the surgical community in Pakistan are needed to overcome the highlighted barriers and develop a data network capable of interpreting risk-adjusted surgical outcomes across the country. Such a network could not only promote evidence-based improvements in the quality of surgical care in Pakistan, but may also allow continuous surveillance, performance benchmarking and research facilitation.

 

Disclaimer: None.

Conflict of Interest: None.

Source of Funding: None.

 

References

 

1.       Reilly JR, Shulman MA, Gilbert AM, Jomon B, Thompson RJ, Nicholson JJ, et al. Towards a national perioperative clinical quality registry: The diagnostic accuracy of administrative data in identifying major postoperative complications. Anaesth Intensive Care 2020;48:203-12. doi: 10.1177/0310057X20905606.

2.       Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 2016;3:160018. doi: 10.1038/sdata.2016.18.

3.       Mandavia R, Knight A, Phillips J, Mossialos E, Littlejohns P, Schilder A. What are the essential features of a successful surgical registry? a systematic review. BMJ Open 2017;7:e017373. doi: 10.1136/bmjopen-2017-017373.

4.       Reilly JR, Gabbe BJ, Brown WA, Hodgson CL, Myles PS. A national perioperative outcomes registry will facilitate quality assurance and research in Australia. Anaesth Intensive Care 2020;48:328-9. doi: 10.1177/0310057X20937317.

5.       Ologunde R, Maruthappu M, Shanmugarajah K, Shalhoub J. Surgical care in low and middle-income countries: burden and barriers. Int J Surg 2014;12:858-63. doi: 10.1016/j.ijsu.2014.07.009.

6.       Kluyts HL, Biccard BM. The role of peri-operative registries in improving the quality of care in low-resource environments. Anaesthesia 2021;76:888-91. doi: 10.1111/anae.15445.

7.       Network for Peri-operative Critical care (N4PCc). Addressing priorities for surgical research in Africa: implementation of a multicentre cloud-based peri-operative registry in Ethiopia. Anaesthesia 2021;76:933-9. doi: 10.1111/anae.15394.

8.       Haller G, Bampoe S, Cook T, Fleisher LA, Grocott MPW, Neuman M, et al. Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine initiative: clinical indicators. Br J Anaesth 2019;123:228-37. doi: 10.1016/j.bja.2019.04.041.

9.       Wacker J. Measuring and monitoring perioperative patient safety: a basic approach for clinicians. Curr Opin Anaesthesiol 2020;33:815-22. doi: 10.1097/ACO.0000000000000930.

10.     Stey AM, Russell MM, Ko CY, Sacks GD, Dawes AJ, Gibbons MM. Clinical registries and quality measurement in surgery: a systematic review. Surgery 2015;157:381-95. doi: 10.1016/j.surg.2014.08.097.

11.     Cohen ME, Liu Y, Ko CY, Hall BL. Improved Surgical Outcomes for ACS NSQIP Hospitals Over Time: Evaluation of Hospital Cohorts With up to 8 Years of Participation. Ann Surg 2016;263:267-73. doi: 10.1097/SLA.0000000000001192.

12.     Freundlich RE, Ehrenfeld JM. Perioperative Information Systems: Opportunities to Improve Delivery of Care and Clinical Outcomes in Cardiac and Vascular Surgery. J Cardiothorac Vasc Anesth 2018;32:1458-63. doi: 10.1053/j.jvca.2017.11.002.

13.     Vassileva CM, Aranki S, Brennan JM, Kaneko T, He M, Gammie JS, et al. Evaluation of The Society of Thoracic Surgeons Online Risk Calculator for Assessment of Risk in Patients Presenting for Aortic Valve Replacement After Prior Coronary Artery Bypass Graft: An Analysis Using the STS Adult Cardiac Surgery Database. Ann Thorac Surg 2015;100:2109-15; discussion 2115-6. doi: 10.1016/j.athoracsur.2015.04.149.

14.     Jawad F. The race for publishing original biomedical research articles in Pakistan. J Pak Med Assoc 2017;67:1-2.

15.     Knight SR, Ots R, Maimbo M, Drake TM, Fairfield CJ, Harrison EM. Systematic review of the use of big data to improve surgery in low- and middle-income countries. Br J Surg 2019;106:e62-72. doi: 10.1002/bjs.11052.

16.     Hickey GL, Grant SW, Cosgriff R, Dimarakis I, Pagano D, Kappetein AP, et al. Clinical registries: governance, management, analysis and applications. Eur J Cardiothorac Surg 2013;44:605-14. doi: 10.1093/ejcts/ezt018.

17.     Mehmood A, Razzak JA, Kabir S, Mackenzie EJ, Hyder AA. Development and pilot implementation of a locally developed Trauma Registry: lessons learnt in a low-income country. BMC Emerg Med 2013;13:4. doi: 10.1186/1471-227X-13-4.

18.     Hashmi M, Beane A, Taqi A, Memon MI, Athapattu P, Khan Z, et al. Pakistan Registry of Intensive CarE (PRICE): Expanding a lower middle-income, clinician-designed critical care registry in South Asia. J Intensive Care Soc 2019;20:190-5. doi: 10.1177/1751143718814126.

19.     Pakistan Arthroplasty Society. Pakistan National Joint Registry. [Online] 2016 [Cited 2021 August 25]. Available from URL: https://www.arthroplasty.org.pk/about-pnjr/.

20.     Cohen ME, Ko CY, Bilimoria KY, Zhou L, Huffman K, Wang X, et al. Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus. J Am Coll Surg 2013;217:336-46.e1. doi: 10.1016/j.jamcollsurg.2013.02.027.

21.     Sellers MM, Merkow RP, Halverson A, Hinami K, Kelz RR, Bentrem DJ, et al. Validation of new readmission data in the American College of Surgeons National Surgical Quality Improvement Program. J Am Coll Surg 2013;216:420-7. doi: 10.1016/j.jamcollsurg.2012.11.013.

22.     Choi SJ, Oh MY, Kim NR, Jung YJ, Ro YS, Shin SD. Comparison of trauma care systems in Asian countries: A systematic literature review. Emerg Med Australas 2017;29:697-711. doi: 10.1111/1742-6723.12840.

23.     Akanbi MO, Ocheke AN, Agaba PA, Daniyam CA, Agaba EI, Okeke EN, et al. Use of Electronic Health Records in sub-Saharan Africa: Progress and challenges. J Med Trop 2012;14:1-6.

24.     Waters E, Rafter J, Douglas GP, Bwanali M, Jazayeri D, Fraser HS. Experience implementing a point-of-care electronic medical record system for primary care in Malawi. Stud Health Technol Inform 2010;160:96-100.

25.     Kamadjeu RM, Tapang EM, Moluh RN. Designing and implementing an electronic health record system in primary care practice in sub-Saharan Africa: a case study from Cameroon. Inform Prim Care 2005;13:179-86. doi: 10.14236/jhi.v13i3.595.

26.     Odekunle FF, Odekunle RO, Shankar S. Why sub-Saharan Africa lags in electronic health record adoption and possible strategies to increase its adoption in this region. Int J Health Sci (Qassim) 2017;11:59-64.

27.     Mehmood A, Razzak JA. Trauma registry--needs and challenges in developing countries. J Pak Med Assoc 2009;59:807-8.

28.     Qazi MS, Ali M. Pakistan's health management information system: health managers' perspectives. J Pak Med Assoc 2009;59:10-4.

29.     Lodge W, Menon G, Kuchukhidze S, Jumbam DT, Maongezi S, Alidina S, et al. Assessing completeness of patient medical records of surgical and obstetric patients in Northern Tanzania. Glob Health Action 2020;13:1765526. doi: 10.1080/16549716.2020.1765526.

30.     Nguhuni B, De Nardo P, Gentilotti E, Chaula Z, Damian C, Mencarini P, et al. Reliability and validity of using telephone calls for post-discharge surveillance of surgical site infection following caesarean section at a tertiary hospital in Tanzania. Antimicrob Resist Infect Control 2017;6:43. doi: 10.1186/s13756-017-0205-0.

31.     Sandberg CEJ, Knight SR, Qureshi AU, Pathak S. Using Telemedicine to Diagnose Surgical Site Infections in Low- and Middle-Income Countries: Systematic Review. JMIR Mhealth Uhealth 2019;7:e13309. doi: 10.2196/13309.

32.     Reisman M. EHRs: The Challenge of Making Electronic Data Usable and Interoperable. P T 2017;42:572-5.

33.     Pine KH. The qualculative dimension of healthcare data interoperability. Health Informatics J 2019;25:536-48. doi: 10.1177/1460458219833095.

Journal of the Pakistan Medical Association has agreed to receive and publish manuscripts in accordance with the principles of the following committees: