About the Author(s)


Wafaa Fadili Email symbol
Department of Nephrology, UHC Mohamed VI, Faculty of Medicine and Pharmacy, Cadi Ayyad University, Marrakesh, Morocco

Citation


Fadili W. Determinants of primary healthcare physicians’ knowledge of diabetic kidney disease. Afr J Prm Health Care Fam Med. 2026;18(1), a5322. https://doi.org/10.4102/phcfm.v18i1.5322

Original Research

Determinants of primary healthcare physicians’ knowledge of diabetic kidney disease

Wafaa Fadili

Received: 25 Nov. 2025; Accepted: 27 Feb. 2026; Published: 29 Apr. 2026

Copyright: © 2026. The Author. Licensee: AOSIS.
This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/).

Abstract

Background: Early identification of diabetic kidney disease (DKD) is a real means to prevent the progression of kidney disease. The involvement of primary practitioners in screening programmes is particularly needed as most patients with diabetes are managed in primary care.

Aim: This study aims to assess primary practitioners’ knowledge regarding screening, referral and management guidelines of patients with diabetes.

Setting: Routine clinical setting in the region of Marrakesh.

Methods: This was a cross-sectional study including primary practitioners in the region of Marrakesh between May and June 2024. A 16-item questionnaire was developed to evaluate their knowledge about screening, referral and management of DKD. Multivariate analysis was performed to identify factors associated with knowledge levels.

Results: Of the 295 general practitioners solicited for the study, 100 physicians agreed to participate, thus translating to a response rate of 33.9%. Most participants (61%) showed high levels of adherence to DKD guidelines, but they presented a substantial gap in knowledge regarding the optimum screening time of DKD in patients with type 1 diabetes, the ideal screening test for albuminuria, the recommended interval for the routine surveillance, the annual screening tests, the therapeutic target of hemoglobin A1c (HbA1c), the indications of Sodium-Glucose Cotransporter-2 inhibitors (SGLT2i) and the timing of referral to a nephrologist. Higher knowledge scores were observed among physicians who received training in diabetes management.

Conclusion: This study showed varying degrees of knowledge across different aspects of DKD management in primary care. Therefore, renal health programmes should prioritise enhancing the involvement and the regular training of primary practitioners.

Contribution: This study emphasises the need for ongoing DKD training among primary healthcare practitioners to enhance their knowledge and improve the early management of patients with DKD.

Keywords: Diabetic kidney disease; primary practitioners; knowledge evaluation; screening; management; referral.

Introduction

Diabetes mellitus is a real global health problem. The estimated global population of adults with diabetes was 588.7 million in 2024, and the International Diabetes Federation (IDF) in the 11th edition of its Diabetes Atlas has projected that by the year 2050, about 852.5 million adults aged 20–79 years around the world will be living with diabetes mellitus.1 Among IDF regions, the African (AFR) and Middle East and North Africa (MENA) regions are projected to experience the largest relative increases in the number of people with diabetes. Morocco is one of the countries of the IDF MENA region and accounted for 9.7% of diabetes in adults in 2021.2 The increase in the prevalence of diabetes has been paralleled by an increase in the occurrence of its chronic complications, such as diabetic kidney disease (DKD). In 2011, it was estimated that diabetes was one of the main causes of chronic kidney disease (CKD) in Morocco.3

Diabetic kidney disease is the leading cause of CKD as well as end-stage renal disease (ESRD)4 and contributes considerably to the additional healthcare costs of the management of people with diabetes.5 Therefore, early diagnosis and treatment of DKD are critical to prevent kidney disease progression and other complications of diabetes.6 The detection of a positive albuminuria identifies the early stages of DKD,6 but screening relies on a dual assessment of urinary albumin (using a spot urinary albumin-to-creatinine ratio [UACR]) and estimated glomerular filtration rate (eGFR).7

For most people, DKD is asymptomatic and is often diagnosed through routine screening.8 Annual DKD screening is recommended by both the American Diabetes Association (ADA) and Kidney Disease Improving Global Outcomes (KDIGO) guidelines,9,10 and should start at diagnosis of type 2 diabetes and 5 years after diagnosis of type 1 diabetes.9,10 Based on these recommendations, DKD is diagnosed in the case of persistently positive albuminuria (≥ 30 mg/g) and/or persistently reduced eGFR (˂ 60 mL/min/1.73 m2) for more than 3 months.9,10

As most patients with diabetes are managed in primary care,11 primary care providers play an important role in the early detection of DKD.

The role of primary practitioners is firstly, to make a timely diagnosis of DKD through early screening of patients with diabetes and secondly, to delay the progression of DKD through efficacious glycaemic and blood pressure control, Renin-Angiotensin system (RAAS) blockade and SGLT2 inhibition in addition to health promotion and comorbidities management.12

However, despite international guidelines for screening and managing DKD, early detection and treatment of DKD in primary care settings is not performed optimally in routine clinical settings.13,14

A gap between ideal and actual care may be because of multiple factors, including a lack of knowledge about the disease itself, the fear of frightening patients with the announcement of CKD diagnosis, high workload or unfamiliarity with current guidelines.6,7

Therefore, it is important to enhance the effectiveness of the management of patients with diabetes and the prevention of the development of complications.15

As primary care is usually the first point of contact for most patients with early-stage CKD,16 assessing the degree of adherence by the primary healthcare physicians to current guidelines that promote early detection, prevention and treatment of DKD is recommended.

Objective of the study

This study aimed to evaluate primary healthcare physicians’ knowledge regarding screening, referral and management guidelines of DKD in patients with diabetes.

Research methodology and design

Study design

A cross-sectional study was conducted between May 2024 and June 2024, and all general practitioners working at primary care centres of the region of Marrakesh were included.

Population, sample and sampling

All primary healthcare practitioners working in the private and public sectors in the region of Marrakesh were contacted by phone and were informed about the study. Physicians who refused to participate in the survey were excluded.

Data collection

Participants were asked to complete a self-administered questionnaire. The questionnaire contained 16 items and was designed to assess practitioners’ knowledge of screening, diagnosis and management of DKD. The questions were constructed by consulting relevant ADA and KDIGO guidelines on DKD.8 This test included single-choice questions and consisted of two sections: section 1 (demographics of the physicians, length of professional experience and training in diabetes management), section 2 (knowledge level of guidelines about DKD screening, referral and treatment) (Appendix 1). A panel of experts, including six consultants in nephrology, reviewed the questionnaire and completed an online content validation form.17 The questionnaire’s reliability was assessed using the computation of Cronbach’s alpha coefficient. A reliability index of 0.88 was obtained.

An online form of the questionnaire was created using Google Forms and was sent to the participants via email or work-related WhatsApp groups. The practitioners who agreed to participate and completed the questionnaire were recruited into the study.

Each item of the questionnaire was assigned a score of 1 if the response was correct, and a total score was provided by adding all responses. The median value of the total scores of all participants’ responses to the questionnaire was utilised as a cut-off point to classify each physician as having low or high knowledge concerning DKD management, screening and referral.15

Statistical analysis

Data were analysed using Statistical Package for Social Sciences (SPSS Inc, Chicago, US) (26.0). Participants’ demographic and professional characteristics were summarised for categorical variables as frequency with percentage, and for continuous variables as means ± standard deviation (s.d.) or median (minimum [min] – maximum [max]). In bivariate analysis, qualitative variables were compared using the Chi-square test or Fisher’s exact test when the expected frequencies were less than 5.

In multivariate analysis, to identify factors associated with physicians’ knowledge of DKD guideline practice, a logistic regression model was used, and the results were expressed as odds ratios (OR). A p-value of ˂ 0.05 was statistically significant.

Ethical considerations

Ethical clearance to conduct this study was obtained from the Ethics Review Committee of Faculty of Medicine and Pharmacy of Marrakesh (No. 5/2025). The objectives of the study were explained to the participants, and voluntary informed verbal consent was obtained from all participants. All information collected from the participants was kept confidential and was carried out in accordance with the Declaration of Helsinki.

Results

Response rate

Of the 295 primary healthcare providers practising in the region of Marrakesh, 100 physicians agreed to participate in the survey, yielding a response rate of 33.9%.

Demographic findings

The demographic characteristics of the 100 primary physicians who agreed to participate are shown in Table 1.

TABLE 1: Demographic characteristics of participants.

The mean age of the study population was 45.57 (s.d. ± 10.75 years) with 60% being female (n = 60). The majority of the participants had less than 10 years of experience (57%), and 81% of them reported following more than 10 patients with diabetes per month. Forty-eight participants (48%) received training in diabetes management.

Knowledge of screening, referral and management of diabetic kidney disease

The median score of correct answers was 8 (2–13), and 61% of participants had a score higher than 8.

The first part of the assessment was about diagnostic criteria of DKD, the timing of first screening and the frequency of screening. Within the project sample, 64% of the participants reported that the diagnosis of DKD was made in the case of a positive albuminuria with or without a reduced glomerular filtration rate (GFR), and that the usual start of screening of DKD should be performed at the time of diagnosis in the case of type 2 diabetes (77%) and 5 years after diagnosis in the case of type 1 diabetes (47%). Regarding the method used to screen for DKD, 34% of the participants chose the UACR, and 77% of them indicated that a positive UACR was defined by a result of 30 mg/g. Only 48% of the participants considered that a positive urine albuminuria screening should be repeated within 3–6 months of the first screen, and that the annual screening should include albuminuria (97% of the participants) and GFR (51% of the participants) (Table 2).

TABLE 2: Participants’ knowledge level regarding screening, management and referral of diabetic kidney disease.
TABLE 2 (Continues …): Participants’ knowledge level regarding screening, management and referral of diabetic kidney disease.

The second part of the evaluation concerned the management of DKD. When the physicians were asked about the first-line anti-hypertensive drugs in the case of DKD, 70% of the participants reported that they prescribed angiotensin-converting enzyme (ACE) or angiotensin receptor blocker (ARB), and 61% indicated that the recommended target of arterial pressure was < 130/80 mmHg. Upon asking the physicians about HbA1c recommended target, 48% reported that glycated haemoglobin should be < 7% (Table 2).

Considering the use of metformin, 62% of the participants knew that metformin was contraindicated in patients with CKD and GFR < 30 mL/min per 1.73 m2, and 33% of the participants reported that SGLT2 inhibitors were recommended in patients with type 2 diabetes, CKD and GFR ≥ 20 mL/min per 1.73 m2.

Regarding the timing of referral to a nephrologist, 46% of the participants answered that this referral should be at the time when GFR was < 30 mL/min per 1.73 m2 on two consecutive visits or if there was a rapid decline of GFR (Table 2).

In bivariate analysis, higher levels were found among practitioners over age 50 years and who reported attending training in diabetes management (p ˂ 0.001) (Table 3).

TABLE 3: Comparison of participants’ characteristics based on their level of knowledge in bivariate and multivariate analysis.

In multivariate analysis, only training in diabetes management was significantly associated with primary health practitioners’ knowledge (OR: 5.635, 95% confidence interval [CI]: 2.238–14.19, p ˂ 0.001) (Table 3).

Discussion

This study evaluated the knowledge level of Moroccan primary healthcare providers in the region of Marrakesh about DKD screening, management and referral guidelines, and determined its associated factors.

Our study population was young, with 67% of participants under 50 years of age, the majority were female, and 57% had less than 10 years of experience. Similarly, in a study conducted in Saudi Arabia evaluating clinical practices of primary care providers in DKD, the mean age of the participants was 35 years with a mean experience length of 7 years, but the proportion of male physicians was higher than female physicians (59%).15

Regarding screening for DKD, our findings have indeed revealed that more than half of the participants correctly identified that a positive albuminuria and reduced GFR were key indicators of DKD.

Compared to our results, an online survey of the proficiency of primary healthcare physicians in managing diabetes-related CKD showed that 52.4% of the participants were uncertain regarding their knowledge of the criteria for the diagnosis of DKD.18

Most of our participants reported that the ideal timing for first screening of DKD was at the time of diagnosis of type 2 diabetes, and that, essentially, albuminuria (97%) and, to a lesser extent, the GFR (51%) should be annually screened. However, our participants presented insufficient knowledge of the optimal timing for screening in patients with type 1 diabetes and the ideal test to use for screening for albuminuria. In a cross-sectional survey conducted among 160 Canadian physicians, including 60 general practitioners, the timing of CKD screening with patients in relation to type 2 diabetes diagnosis occurred for most physicians at diagnosis of type 2 diabetes (58.1%), using eGFR (100%) and UACR (96.8%).19 In the Saudi study, good knowledge was reported in terms of annual screening (77.4%), timely start of screening of DKD in patients with type 1 (52.1%) and type 2 (75.6%) diabetes and the use of UACR as a screening tool for DKD (85.5%).15

In our study, good scores were also reported about first-line recommended medications, but low scores were noted about the use of novel treatment (SGLT2i) and the timing of referral to a nephrologist. In a study of adult primary care patients with DKD, 80.3% had a care gap in SGLT2i prescription, and 42% had a care gap in RAASi prescription. These care gaps for SGLT2i and RAASi were especially observed in patients with DKD with well-controlled diabetes and blood pressure, suggesting failure to recognise DKD as an independent indication for these medications.20 On the contrary, the Saudi study showed high rates of prescription of ACE inhibitors (82.1%) and empagliflozin (73.9%) in addition to a good knowledge of indications of referral to a nephrologist (80.8%).15 In this Saudi study, higher levels of adherence to the guidelines were associated with the physicians’ education level, access to clinical guidelines and receipt of relevant training.15

Overall, the majority of our participants (61%) showed high levels of adherence to DKD guidelines, but our results also reflected varying degrees of knowledge across different aspects of DKD management. Our findings also revealed that higher levels of adherence to the guidelines were observed among physicians who received training in diabetes management. This training can be facilitated by setting up primary care kidney disease management programmes. Therefore, a multifactorial approach is necessary based on collaborative efforts to optimise the knowledge level of primary care providers in dealing with DKD.21 This lack of DKD knowledge among primary care providers may be one of the causes of delay in CKD identification and treatment, and may be because of many factors, such as the complexity and continuous evolution of the guidelines20 and the absence of communication between primary healthcare and nephrologists.22

The strengths of this study were that it provided an in-depth analysis of the knowledge level about DKD in Moroccan primary healthcare providers. However, there were some limitations. This study was limited by the small number of participants, its cross-sectional nature, and its reliance on self-reported data rather than a real-time evaluation of practices at primary care centres. Despite these limitations, we were able to identify shortcomings in the management of patients with DKD by general practitioners, which is relevant to running a comprehensive healthcare programme centred around DKD. The results of our study demonstrated the importance of continuous education and can guide the development of national programmes of training of primary healthcare providers in DKD in order to improve guideline compliance.

Conclusion

This study highlighted unmet needs for care and management of DKD patients at the primary care level. It is well-known that in order to ensure the success of any renal healthcare intervention, it is imperative to effectively involve general practitioners using a well-structured approach. Such an approach will need proper training and the implementation of effective primary care disease programmes.

Acknowledgements

Competing interests

The author declares that no financial or personal relationships inappropriately influenced the writing of this article.

CRediT authorship contribution

Wafaa Fadili: Conceptualisation, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. The author confirms that this work is entirely their own, has reviewed the article, approved the final version for submission and publication, and takes full responsibility for the integrity of its findings.

Funding information

This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Data availability

The data that supports the findings of this study are available from the corresponding author, Wafaa Fadili, upon reasonable request.

Disclaimer

The views and opinions expressed in this article are those of the author and are the product of professional research. They do not necessarily reflect the official policy or position of any affiliated institution, funder, agency, or that of the publisher. The author is responsible for this article’s results, findings, and content.

References

  1. International Diabetes Federation (IDF) Diabetes Atlas. Global diabetes data & insights [homepage on the Internet]. 2025 [cited 2025 Aug 13]. Available from: http://diabetesatlas.org/ressources/idf-diabetes-atlas-2025
  2. Morocco Diabetes Statistics & Prevalence | IDF Atlas. [cited 2025 July 25]. Available from: https://diabetesatlas.org/data-by-location/country/morocco/
  3. De Broe ME, Benghanem GM, Elseviers M. Maremar, prevalence of chronic kidney disease, how to avoid over-diagnosis and under-diagnosis. Nephrol Ther. 2016;12(1):S57–S63. https://doi.org/10.1016/j.nephro.2016.02.013
  4. Rossing P. Diabetic nephropathy: Worldwide epidemic and effects of current treatment on natural history. Curr Diab Rep. 2006;6(6):479–483. https://doi.org/10.1007/s11892-006-0083-y
  5. Pelletier EM, Smith PJ, Boye KS, Misurski DA, Tunis SL, Minshall ME. Direct medical costs for type 2 diabetes mellitus complications in the US commercial payer setting: A resource for economic research. Appl Health Econ Health Policy. 2008;6(2–3):103–112. https://doi.org/10.1007/BF03256126
  6. Deem M, Rice J, Valentine K, Zavertnik JE, Lakra M. Screening for diabetic kidney disease in primary care: A quality improvement initiative. Nurse Pract. 2020;45(4):34–41. https://doi.org/10.1097/01.NPR.0000657316.97157.e4
  7. Goldman JD, Busch R, Miller E. Best-practice perspectives on improving early detection and management of chronic kidney disease associated with type 2 diabetes in primary care. Clin Diabetes. 2024;42(3):429–442. https://doi.org/10.2337/cd23-0074
  8. De Boer IH, Khunti K, Sadusky T, et al. Diabetes management in chronic kidney disease: A consensus report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int. 2022;102(5):974–989. https://doi.org/10.1016/j.kint.2022.08.012
  9. Draznin B, Aroda VR, Bakris G, et al. 11. Chronic kidney disease and risk management: Standards of Medical Care in Diabetes – 2022. Diabetes Care. 2022;45(suppl 1):S175–S184. https://doi.org/10.2337/dc22-s011
  10. Shlipak MG, Tummalapalli SL, Boulware LE, et al. The case for early identification and intervention of chronic kidney disease: Conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) controversies conference. Kidney Int. 2021;99:34–47. https://doi.org/10.1016/j.kint.2020.10.012
  11. Hughes-Carter DL, Hoebeke RE. Screening for diabetic kidney disease in primary care for the underinsured: A quality improvement initiative. Appl Nurs Res. 2016;30:148–153. https://doi.org/10.1016/j.apnr.2015.11.008
  12. Fong JMN, Tsang LPM, Kwek JL, Guo W. Diabetic kidney disease in primary care. Singapore Med J. 2020;61(8):399–405. https://doi.org/10.11622/smedj.2020127
  13. United States Renal Data System. 2018 USRDS annual data report: Identification and care of the patient with CKD [homepage on the Internet]. Volume 1. Bethesda, MD: National Institutes of Health, National Institute of Diabetes, Digestive and Kidney Disease; 2018 [cited 2025 July 25]. Available from: https://www.niddk.nih.gov/about-niddk/strategic-plans-reports/usrds/prior-data-reports/2018
  14. Otieno FCF, Ogola EN, Kimando MW, Mutai K. The burden of unrecognised chronic kidney disease in patients with type 2 diabetes at a county hospital clinic in Kenya: Implications to care and need for screening. BMC Nephrol. 2020;21:73. https://doi.org/10.1186/s12882-020-1705-3
  15. Alfaifi AJ, Abdaly AY, Ghazwani BM, Gosadi IM. Physicians’ practices in diabetic nephropathy in primary healthcare centers in Jazan City, Saudi Arabia, 2023. Medicine. 2024;60(3):372. https://doi.org/10.3390/medicina60030372
  16. Ramakrishnan C, Tan NC, Yoon S, et al. Healthcare professionals’ perspectives on facilitators of and barriers to CKD management in primary care: A qualitative study in Singapore clinics. BMC Health Serv Res. 2022;22:560. https://doi.org/10.1186/s12913-022-07949-9
  17. Yusoff MSB. ABC of content validation and content validity index calculation. Educ Med J. 2019;11:49–54. https://doi.org/10.21315/eimj2019.11.2.6
  18. Alzahrani AM, Alghamdi AG, Alghamdi DM, Shakir MO, Jaha AY. Knowledge and competence of primary healthcare physicians in the management of diabetes-related chronic kidney disease. J Family Community Med. 2024;31(4):336–343. https://doi.org/10.4103/jfcm.jfcm_124_24
  19. Chu L, Bhogal SK, Lin P, et al. AWAREness of diagnosis and treatment of chronic kidney disease in adults with type 2 diabetes (AWARE-CKD in T2D). Can J Diabetes. 2022;46(5):464–472. https://doi.org/10.1016/j.jcjd.2022.01.008
  20. Rikin S, Deccy S, Zhang C, Crandall J, Deng Y, Golestaneh L. Care gaps in sodium-glucose cotransporter-2 inhibitor and renin angiotensin system inhibitor prescriptions for patients with diabetic kidney disease. J Gen Intern Med. 2023;38(7):1599–1605. https://doi.org/10.1007/s11606-022-07863-0
  21. Jeet G, Thakur JS, Prinja S, Singh M. Community health workers for non-communicable diseases prevention and control in developing countries; evidence and implications. PLoS One. 2017;12(7):e0180640. https://doi.org/10.1371/journal.pone.0180640
  22. Litvin CB, Nietert PJ, Jenkins RG, Wessell AM, Nemeth LS, Ornstein SM. Translating CKD research into primary care practice: A group-randomized study. J Gen Intern Med. 2020;35(5):1435–1443. https://doi.org/10.1007/s11606-019-05353-4

Appendix 1

Questionnaire:
• Section 1

Physician’s age:

Gender:

Activity sector:

Experience length:

Mean number of patients with diabetes consulting per month:

Training in diabetes management:

• Section 2

Evaluation of physicians’ knowledge level:

  1. What are the diagnostic criteria of diabetic kidney disease (DKD)?

    1. A positive albuminuria ± reduced glomerular filtration rate (GFR) in a patient with diabetes

    2. An oedematous state

    3. A positive haematuria

    4. No idea

  2. When should patients with type 2 diabetes first be screened for DKD?

    1. At the time of diagnosis

    2. 5 years after the onset of the disease

    3. When the patient develops clinical signs of the disease

    4. No idea

  3. When should patients with type 1 diabetes first be screened for DKD?

    1. At the time of diagnosis

    2. 5 years after the onset of the disease

    3. When the patient develops clinical signs of the disease

    4. No idea

  4. The diagnosis of DKD may be suspected if patients with diabetes present:

    1. A single positive test of albuminuria

    2. Two or three positive tests of albuminuria at an interval of 3–6 months

    3. A haematuria

    4. No idea

  5. The recommended way to screen for albuminuria is:

    1. A 24-h urine for albumin collection

    2. A urine dipstick

    3. A spot urinary albumin-to-creatinine ratio (UACR)

    4. No idea

  6. The minimal threshold for a positive albuminuria corresponds to:

    1. UACR ≥ 30 mg/g

    2. UACR > 150 mg/g

    3. UACR > 300 mg/g

    4. No idea

  7. The recommended nephroprotective treatment of DKD:

    1. Calcic inhibitors

    2. Angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blocker (ARB)

    3. Beta-blockers

    4. No idea

  8. When should a general practitioner refer a patient with diabetes to a nephrologist?

    1. As soon as a positive albuminuria is diagnosed

    2. When GFR is < 30 mL/min on two consecutive visits or in case of a rapid decline of GFR

    3. All above

    4. No idea

  9. What is the recommended target of arterial pressure if the patient presents with a positive albuminuria?

    1. < 140/90 mmHg

    2. < 130/80 mmHg

    3. < 150/90 mmHg

    4. No idea

  10. What is the recommended target of HbA1c test in a patient with diabetes and chronic kidney disease (CKD)?

    1. ≤ 6.5%

    2. ≤ 7%

    3. ≤ 8%

    4. No idea

  11. GFR should be annually screened: True or False

  12. Albuminuria should be annually screened: True or False

  13. Metformin is contraindicated if GFR is:

    1. <45 mL/min/1.73 m2

    2. <60 mL/min/1.73 m2

    3. <30 mL/min/1.73 m2

    4. No idea

  14. SGLT2 inhibitors are recommended in:

    1. Patients with type 2 diabetes, CKD and GFR < 20 mL/min/1.73 m2

    2. Patients with type 1 diabetes

    3. Patients with type 2 diabetes, CKD and GFR ≥ 20 mL/min/1.73 m2

    4. No idea



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