Diabetes registry and service in Nigerian suburban areas: experience at a secondary healthcare facility
Keywords:Contact details, Data collection completeness, Diabetes register, Patient follow-up
Background: Disease registries help to provide quality healthcare, including chronic care. As part of ongoing bringing research in diabetes to global environments and systems 2 project in Delta State, Nigeria; a preliminary concern is completeness of clinical assessments and data collection that would enable patients’ follow-up. The aim of this piece of work is to investigate if data collected for local diabetes registry is complete and sufficient to provide better understanding of the disease epidemiology and treatment follow-up.
Methods: This was a purposive medical records audit at public secondary level hospital that followed initial development of diabetes register at the Catholic Hospital, Abbi with 44 pieces of clinical and demographic information. At the public hospitals, 93 patients’ medical records were audited and the data were entered into the register and evaluated, descriptively.
Results: The results show that about 52% of the 44 itemized information were collected, of which completeness of data/documentation was as low as 3% in some items. Blood pressure assessment was done on 70% of patients and 16% of patients had diabetes complications. Lifestyle regimen monitoring was not documented. Neither incidence nor morbidity and mortality rate could be definitively ascertained.
Conclusions: Quality of clinical data documentation was poor. This study contributes a measure of community needs assessment for professional development training on diabetes.
Khan L, Mincemoyer S, Gabbay RA. Diabetes registries: where we are and where are we headed? Diabetes Technol Ther. 2009;11:255-62.
Profili F, Bellini I, Zuppiroli A, Seghieri G, Barbone F, Francesconi P, et al. Changes in diabetes care introduced by a Chronic Care Model-based programme in Tuscany: a 4-year cohort study. European J Public Health. 2017;27:14-9.
Stellefson M, Dipnarine K, Stopka C. The chronic care model and diabetes management in US primary care settings: a systematic review. Preventing Chronic Dis. 2013;10:26.
Bongaerts BW, Mussig K, Wens J, Lang C, Schwarz P, Roden M, et al. Effectiveness of chronic care models for the management of type 2 diabetes mellitus in Europe: a systematic review and meta-analysis. BMJ Open. 2017;7:e013076.
Gabbay RA, Khan L, Peterson KL. Critical features for a successful implementation of a diabetes registry. Diabetes Technol Ther. 2005;7:958-67.
Ballotari P, Chiatamone Ranieri S, Vicentini M, Caroli S, Gardini A, Rodolfi R, et al. Building a population-based diabetes register: an Italian experience. Diabetes Res Clin Pract. 2014;103:79-87.
Fasanmade OA, Dagogo-Jack S. Diabetes Care in Nigeria. Annals of global health. 2015;81:821-9.
Uzochukwu BSC. Primary health care systems (PRIMASYS): Case study from Nigeria. Available at: https://www.who.int/alliance-hpsr/projects/ alliancehpsr_nigeriaprimasys.pdf?ua=1. Accessed 20 August 2019.
Agwuna PM. 12m Nigerians suffering from diabetes. Daily Sun; 2006.
Otovwe A, Oyewole OE, Igumbor EO, Nwose EU. Diabetes care in Delta State of Nigeria: An expository review. Diabetes Updates. 2018;1:1-8.
Cunningham SG, Carinci F, Brillante M, Leese GP, McAlpine RR, Azzopardi J, et al. Core standards of the EUBIROD project. Defining a European diabetes data dictionary for dlinical audit and healthcare delivery. Methods Inf Med. 2016;55:166-76.
Kilonzo SB, Gunda DW, Bakshi FA, Kalokola F, Mayala HA, Dadi H. Control of hypertension among diabetic patients in a referral hospital in Tanzania: A cross-sectional study. Ethiop J Health Sci. 2017;27:473-80.
Agyemang C, Meeks K, Beune E, Owusu-Dabo E, Mockenhaupt FP, Addo J, et al. Obesity and type 2 diabetes in sub-Saharan Africans - Is the burden in today's Africa similar to African migrants in Europe? The RODAM study. BMC medicine. 2016;14:166.
Hilawe EH, Yatsuya H, Kawaguchi L, Aoyama A. Differences by sex in the prevalence of diabetes mellitus, impaired fasting glycaemia and impaired glucose tolerance in sub-Saharan Africa: a systematic review and meta-analysis. Bull World Health Organ. 2013;91:671-82.
Silventoinen K, Tatsuse T, Martikainen P, Rahkonen O, Lahelma E, Sekine M, et al. Occupational class differences in body mass index and weight gain in Japan and Finland. J Epidemiol. 2013;23:443-50.
Barberio A, McLaren L. Occupational physical activity and body mass index (BMI) among Canadian adults: does physical activity at work help to explain the socio-economic patterning of body weight? Canadian J Public Health. 2011;102:169-73.
Colosia AD, Palencia R, Khan S. Prevalence of hypertension and obesity in patients with type 2 diabetes mellitus in observational studies: a systematic literature review. Diabetes Metab Syndr Obes. 2013;6:327-38.
Li YT, Wang HH, Liu KQ, Lee GK, Chan WM, Griffiths SM, et al. Medication adherence and blood pressure control among hypertensive patients with coexisting long-term conditions in primary care settings: A cross-sectional analysis. Medicine (Baltimore). 2016;95:e3572.
Twohig H, Hodges V, Mitchell C. Pre-diabetes: opportunity or overdiagnosis? The British journal of general practice: the journal of the Royal College of General Practitioners. 2018;68:172-3.
Unadike B, Eregie A, Ohwovoriole A. Prevalence of hypertension amongst persons with diabetes mellitus in Benin City, Nigeria. Nigerian J Clinical Practice. 2011;14:300-2.
Kabakov E, Norymberg C, Osher E, Koffler M, Tordjman K, Greenman Y, et al. Prevalence of hypertension in type 2 diabetes mellitus: impact of the tightening definition of high blood pressure and association with confounding risk factors. J Cardiometab Syndr. 2006;1:95-101.
Arrieta F, Iglesias P, Pedro-Botet J, Becerra A, Ortega E, Obaya JC, et al. Diabetes mellitus and cardiovascular risk: Update of the recommendations of the Diabetes and Cardiovascular Disease working group of the Spanish Diabetes Society (SED, 2018). Clin Investig Arterioscler. 2018;30:137-53.