| Literature DB >> 33859931 |
Christine Ngaruiya1, Annrita Kawira2, Florence Mali3, Faith Kambua4, Beatrice Mwangi5, Mbatha Wambua6, Denise Hersey7, Laventa Obare8, Rebecca Leff1,9, Benjamin Wachira10.
Abstract
Introduction: Mortality and morbidity from Non-Communicable Diseases (NCDs) in Africa are expected to worsen if the status quo is maintained. Emergency care settings act as a primary point of entry into the health system for a spectrum of NCD-related illnesses, however, there is a dearth of literature on this population. We conducted a systematic review assessing available evidence on epidemiology, interventions and management of NCDs in acute and emergency care settings in Kenya, the largest economy in East Africa and a medical hub for the continent.Entities:
Keywords: Africa; Emergency care; Emergency medicine; Kenya; Non-Communicable Diseases
Year: 2021 PMID: 33859931 PMCID: PMC8027527 DOI: 10.1016/j.afjem.2021.02.005
Source DB: PubMed Journal: Afr J Emerg Med ISSN: 2211-419X
Fig. 1PRISMA diagram. From: Moher D, Liberati A, Tetzlaff J, et al. The PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 2009;6: e1000097. https://doi.org/10.1371/journal.pmed1000097.
Results of a systematic review on epidemiology, interventions and management of noncommunicable diseases in acute and emergency care settings in Kenya.
| Author name and year | Population | Study type | Dates | Sample size (n) | Study primary findings |
|---|---|---|---|---|---|
| Burke et al (2014) | All 30 primary and secondary hospitals and a stratified random sampling of 30 dispensaries and health centres in western Kenya | Cross-sectional | Nov 2013-Jan 2014 | 60 (healthcare facilities) | Top ten most common conditions were reported to be communicable diseases, except for trauma (30%-60%, depending on facility). 100% of MI patients were referred in lower-level facilities, 80% in higher-level facilities. 93% felt ill-prepared to manage DKA at lower-level facilities, 67% at higher-level facilities. Among diagnostics: 87% had BP cuffs, 13% had EKG, 30% had XR, 57% had glucometer. Among medications and management supplies: 12% had nitroglycerin, 48% had insulin, 53% had oxygen, 38% had intubation supplies. |
| Dawsey et al (2010) | Patients with a histologic or endoscopic diagnosis of EC who were <30y | Case series | 1996-2009 | 109 (65 male; 44 female) | Follow-up information obtained on n=60 (55%) of patients. 4 (7%) were candidates for esophagectomy, one of whom survived >5 years. N=45 (79%) had positive family history of CA, n=21 (43%) had family history of esophageal CA. Tobacco smoking present in n=9 (15%), alcohol use in n=9 (15%). |
| Nkumbe et al (2010) | Diabetes clinic patients, diagnosed with DM in past 12 months | Cross-sectional | 2001-2002 | 71 (30 male; 41 female) | A total of n=65/71 patients were included, with the remainder excluded due to poor quality of images obtained. 42% of subjects were male. The prevalence of diabetic retinopathy in men and women was 33% and 28% respectively (P = 0.15), while the overall prevalence was 30.4%. Diabetic retinopathy was unilateral in three patients (6.5%) and bilateral in 11 (23.9%). Four out of 46 patients (8.7%) had clinically significant macula edema (CSME). |
| Aduda et al (2014) | Women > 18y who had been tested for Syphilis or undergone cervical cancer screening | Qualitative | 2009 | 64 (females) | On cervical cancer screening, there was understanding of asymptomatic nature of disease in early stages, and on typical signs and symptoms later, but also misconceptions on how it is contracted. Respondents were appreciative of pre-test consent and found it educational, but still found screening fearful with concerns about possible positive screening results. Results were desired as soon as possible, and verbal administration of results was preferred over written given anxiety, impersonality, and illiteracy. A deference to "God's will" was also evident. |
| Otieno et al (2010) | Emergency Department and hospital patients | Cross-sectional | Dec 2001-Aug 2002 | 51 (25 male; 22 female) | 8% (n=51/648) of diabetic patients admitted during study period had DKA. Mean age 33.4 (95% CI 15.2). 51% were newly diagnosed. Polyuria (85%), polydipsia (83%) and vomiting (43%) were lead presenting symptoms. 36% (n=17) were obtunded with GCS 3-8. 32% (n=15) were severely dehydrated. Mortality was 30% (n=14/47). Abnormal renal function (71%), AMS (100%), new DM diagnosis (64%) and being female (64%) were poor prognosticators. |
| Wachira et al (2012) | Emergency Department patients presenting alive, on randomly generated set of days during data collection period | Cross-sectional | Oct 2010-Dec 2010 | 1887 (940 male; 947 female) | 27% of patients aged 0-9y; 70% aged >13y. 58% had tests done, malaria blood film most common. Trauma lead diagnoses in adults (24%), malaria in children (24%). Wound care (26%), fluid resuscitation (10%), management of bronchospasm (7%), splinting (4%), and management of hyperglycemia (3%) were top 5 most common treatments. 19% (n=354) were admitted, 7% (n=127) were referred. |
| Wachira et al (2014) | Adults >21y admitted from the ED with a diagnosis of Acute Coronary Syndrome (ACS) | Retrospective chart review | Jan 2012-Feb 2013 | 45 (37 male; 8 female) | Compliance rates with: ECG done in 10 min of first medical contact was 89%; door-to-needle (fibrinolysis) goal of 30 min was 43%; door-to-balloon (PCI) goal 90 min was 29%; in-hospital complication rate was 13.3%. |
| Wachira et al (2015) | Adults aged >18y with In-Hospital Cardiac Arrest (IHCA) | Retrospective chart review | Jan 2013-Dec 2013 | 108 (63 male; 45 female) | The predominant initial rhythms post cardiac arrest werepulseless electrical activity (41.7%) or asystole (35.2%). Hypertension (43.5%), septicemia (40.7%), renal insufficiency (30.6%), diabetes mellitus (25.9%) and pneumonia (15.7%) were the leading pre-existing conditions in the patients. A Modified Early Warning Score (MEWS) of 5 or more was reached in 56 (67.5%, n = 83) patients before the cardiac arrest. The rate of survival to hospital discharge was 11.1%. All the patients who survived to hospital discharge had a good neurological outcome. |
| White et al (2002) | All cancers diagnosed during the study period at Tenwek Hospital | Case series | Jan 1989-Dec 1998 | 1459 | Top 5 most commonly diagnosed cancers: esophageal (n=274), stomach (n=137), prostate (n=79), liver (n=71) and colorectal (n=61). Breast cancer among top ten (n=51). Mean age at diagnosis was: 56y for women and 54y for men (14-91y). 11% of esophageal cancer cases were aged <30y. |
| Wools-Kaloustian et al (2007) | Outpatient HIV clinic patients | Cross-sectional | May 2004-Nov 2005 | 389 (125 male; 264 female) | For the 373 individuals with complete data, the mean CrCl was 90ml/min (range 30 –200ml/min). CrCl <60ml/min was identified in 43 (11.5%) subjects with 18 (4.8%) having a CrCl <50ml/min. In the multi-variate analysis, only lower haemoglobin [OR 0.79 (0.69–0.91), p=0.001] and wasting syndrome [OR 4.17 (1.15–15.11), p=0.03] were associated with a CrCl <60ml/min. History of tuberculosis [OR 3.0 (1.02–8.96), p=0.04] was significantly associated with proteinuria. |
Abbreviations: ACS-Acute Coronary Syndrome, AMS-Altered Mental Status, BP-Blood Pressure, CA-Cancer, DM-Diabetes Mellitus, EC-Esophageal Cancer, ED-Emergency Department, EKG- Electrocardiogram, DKA-Diabetic Ketoacidosis, GCS-Glasgow Coma Scale, IHCA-In-Hospital Cardiac Arrest, NCD-Non-Communicable Disease, XR- X-ray
Quality assessment (method: Cochrane collaboration' tool for assessing risk of bias).
| Random sequence generation (selection bias) | Allocation concealment (selection bias) | Blinding of participants and personnel (performance bias) | Blinding of outcome assessment (detection bias) | Incomplete outcome data addressed (attrition bias) | Selective reporting (reporting bias) | Other sources of bias | Total low on risk of bias | |
|---|---|---|---|---|---|---|---|---|
| Burke et al (2014) | Low risk | Low risk | High risk | High risk | Low risk | Low risk | Low risk | (5/7) |
| Dawsey et al (2010) | Low risk | Low risk | Low risk | Low risk | High risk | High Risk | Low Risk | (5/7) |
| Nkumbe et al (2010) | Low risk | Low risk | Low risk | Low risk | High risk | Low risk | Low risk | (6/7) |
| Aduda et al (2014) | High risk | High risk | High risk | Low risk | High risk | Low risk | Low risk | (3/7) |
| Otieno et al (2010) | High risk | Low risk | High risk | Low risk | Low risk | Low risk | Low risk | (5/7) |
| Wachira et al (2012) | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (7/7) |
| Wachira et al (2014) | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (7/7) |
| Wachira et al (2015) | Low risk | Low risk | Low risk | Low risk | High risk | Low risk | Low risk | (6/7) |
| White et al (2002) | Low risk | Low risk | Low risk | Low risk | High risk | Low risk | Low risk | (6/7) |
| Wools-Kaloustian et al (2007) | High risk | High risk | Low risk | Low risk | Low risk | Low risk | Low risk | (5/7) |
From: Higgins JPT, Altman DG, Sterne JAC, eds. Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011.
Updated results of a systematic review on epidemiology, interventions and management of noncommunicable diseases in acute and emergency care settings in Kenya (2015-2020).
| Author name and year | Population | Study type | Dates | Sample size (n) | Study primary findings |
|---|---|---|---|---|---|
| Ali et al (2018) | Oncolology patient presenting to the Department of Medicine, Aga Khan University, Nairobi, Kenya | Case report | – | 1 | Owing to the lack of other opioids in our country and the increasing amount of morphine being used, rectal suppositories containing 60 mg of lidocaine and 5 mg of hydrocortisone were started. Over the course of 72 h, use of the suppositories greatly improved his pain. His morphine was tapered and finally discontinued before discharge. At a follow-up visit one month later, his pain was well controlled on two suppositories a day and he had commenced working part-time from home. (His current medications included oral morphine 20 mg every 4 h, paracetamol (acetaminophen) 500 mg orally every 6 h, and meloxicam 15 mg orally once a day. He was compliant with his medications but rated his anal pain as 7 out of 10, worse on sitting and lying on his gluteal area.) |
| Bahiru et al (2018) | Acute coronary syndrome (ACS) cases managed at Kenyatta National Hospital | Retrospective chart review | Nov 2016 - Apr 2017 | 196 ACS admissions (127 male; 69 female) | The majority (65%) was male, and the median age was 58 years. Most (57%) ACS admissions were for ST-segment-elevation myocardial infarction (STEMI). In-hospital dual antiplatelet (> 85%), beta-blockade (72%) and anticoagulant (72%) therapy was common. A minority (33%) of patients with STEMI was eligible for reperfusion therapy but only 5% received reperfusion. In-hospital mortality rate was 17%, and highest among individuals presenting with STEMI (21%). |
| Bahiru et al (2018) | Healthcare providers involved in the management of ACS patients at Kenyatta National Hospital in Nairobi, Kenya | Prospective qualitative analysis | Jan 2017- Feb 2017 | 16 interviews during the study period, including with one cardiologist, two accident and emergency (A&E) attending physicians, two medical officers in the casualty department, three A&E nurses, and eight medical registrars | More than half (56%) of the interviewees were women. Major themes included the need to improve the diagnostic and therapeutic capabilities of the hospital, including increasing the number of ECG machines and access to thrombolytics. Participants highlighted an overall wide availability of other guideline-directed medical therapies, including antiplatelets, beta-blockers, statins, anticoagulants, and ACE inhibitors. All participants also stated the need for and openness to accepting future interventions for improvement of quality of care, including checklists and audits to improve ACS care at Kenyatta National Hospital. |
| Cranmer at al (2018) | Emergency obstetric readiness standards at 44 Kenyan primary care facilities in Kakamega County | Cross-sectional | Feb 2013-May 2013 | 44 (primary care facilities) | In hypertensive emergencies, facilities can treat the disorder only when all needed resources to identify and treat the emergency are simultaneously present. Of 44 facilities, 36 had sphygmomanometers and stethoscopes (88.12%). Far fewer also stocked the antihypertensive drug hydralazine that should be simultaneously administered with magnesium sulfate (6.82%) in hypertensive obstetric emergencies. |
| Edwards et al (2015) | Patients, registered in a Médecins Sans Frontières (MSF) chronic diseases clinic in the informal settlement of Kibera with hypertension and/or diabetes mellitus with or without HIV who were >15 y | Retrospective cohort | Jan 2010 - June 2013 | 2206 patients | In comparing the proportion of patients by presenting hypertension stage, HIV positive (PLHIV) patients presented more frequently with stage 1 and those without HIV had significantly more cases in stage 3. Of those who were treated for hypertension, there were similarly good improvements in blood pressure, regardless of HIV status (40% achieved target SBP PLHIV; 50.0% HIV-negative patients). The median duration of follow-up was shorter among those who were HIV-negative versus PLHIV, 1 and 1.4 years, respectively. This is felt to be largely due to the high lost to follow up rate after 6 months, which was 36% in HIV-negative patients versus 22% in PLHIV. |
| Evans et al (2017) | A mobile ECG recorder screened 50 African adults (66% women; mean age 54.3 ± 20.5 years) attending Kijabe Hospital (Kijabe, Kenya) | Prospective observational study | July 12 – 23, 2016 | 50 African adults (66% women; mean age 54.3 ± 20.5 years) | ECG tracings of 4 of the 50 patients who completed the study showed AF (8% AF yield), and none had been previously diagnosed with AF. When asked about continuous access to Internet and personal mobile devices, almost all of the health care providers surveyed answered affirmatively. |
| Juma et al (2019) | HIV-infected adult patients (> 18 years) at Ukwala sub-county hospital | Retrospective chart review | June 2013 - Jan 2015 | 1502 patients (466 male; 1,036 female) | Cardiovascular screening of people living with HIV revealed a significant prevalence of undiagnosed hypertension (13.3%) and raised total cholesterol levels (14%). There was no association between hypertension and current ART regimen, however raised total cholesterol was more likely in those on TDF [adjusted OR 2.20 (1.28–3.78), p = 0.0042], AZT [adjusted OR 2.50 (1.50–4.18), p = 0.004] and D4T-containing regimens. |
| Kamau et al (2018) | Patients with established histological diagnosis of Esophageal Cancer (EC) at Kenyatta National Hospital (KNH) | Retrospective cohort study | Sept 2016 - Nov 2016 | 85 patients | Majority (89.4%) were diagnosed in stage III and IV of the disease. The median time to histological diagnosis of EC was 90 days. The time to first presentation was more than 30 days among 78.8% of subjects. The median time from first consultation to referral to a diagnostic-capable facility was 30 days, with 76.5% of the participants taking more than 30 days to reach KNH. Those who could not afford transport and consultation were more likely to report delay to first presentation (OR 3.6 95% CI 1.2-11.3, p=0.022). Referral delay was associated with residence, with those living in the rural areas less likely to delay (OR 0.2, 95% CI 0.0-0.8, p=0.019). |
| Kimeu et al (2016) | Patients presenting to Nairobi Hospital with acute myocardial infarction >18y | Retrospective chart review | Jan 2007 - June 2009 | 64 patients (87.5% were male) | 40.6% arrived at the emergency department more than 12 h after the onset of chest pain. In the STEMI arm, 79.5% of patients underwent thrombolysis, 17.9% had rescue percutaneous coronary intervention (PCI) and 2.6% had no reperfusion therapy. Medical management was carried out in 29% of the patients, 19.1% had a coronary artery bypass graft and 40.4% had PCI. The in-hospital mortality rate was 9.4% and mean in-hospital probability of death according to the GRACE risk score was 16.05%. Discharge medication was a β-blocker in 84.5% of patients, an ACE inhibitor or angiotensin receptor blocker in 48.3%, low-dose aspirin in 96.6%, clopidogrel in 96.6% and statins in 93.1%. |
| Lin et al (2017) | Health care providers working on inpatient wards at Moi Teaching and Referral Hospital (MTRH) -Eldoret, Kenya | Qualitative cross-sectional | – | 199 surveyed providers | Most respondents stated that stroke scales should always be used (58.3% of respondents), 3 h was the appropriate time limit for thrombolysis (53.8% of respondents), and CT scan should be always be obtained prior to administration of anticoagulant therapy (61.3% of respondents). Because thrombolytic therapy (tissue plasminogen activator) [t-PA] is not used at MTRH, 40.7% of respondents reported always substituting t-PA with streptokinase or heparin for treatment of acute ischemic stroke. Neither venous thromboembolism prophylaxis nor dysphagia/swallowing screening were considered to be done a majority of time. |
| Mbui et al (2017) | Hypertensive patients attending a medical out-patient clinic of Ruiru sub-county hospital in Kiambu County, Kenya | Mixed- method retrospective chart review in combination with qualitative interviews | Jan 2015 - Apr 2015 | 247 hypertensive patients | ACEIs and thiazide diuretics were the most commonly prescribed drugs, mainly as combination therapy. Treatment typically complied with guidelines, mainly for stage 2 hypertension (75%). BP control was observed in 46% of patients, with a significant reduction in mean systolic (155 to 144 mmHg) and diastolic (91 to 83 mmHg) BP (P < 0.001). Patients on ≥2 antihypertensive drugs were more likely to have uncontrolled BP (OR:1.9, p = 0.021). |
| Saleeby et al (2019) | Accident and Emergency (A&E) department patients presenting to Kenyatta National Hospital | Retrospective chart review | Oct 2014 – Jan 2015 | 20,359 patients (10,075 male; 9,567 female) | Patients 65 years and older (n=778) were most commonly admitted due to non-communicable illnesses: cerebrovascular disease (12%), heart disease (11%), hypertensive disease (7%), renal failure (7%), and endocrine disorders (6%). |
| Simba et al (2018) | Caretakers of asthmatic children aged 6–11 years at Moi Teaching and Referral Hospital. | Cross-sectional | Aug 2016 – Dec 2016 | 116 caretakers | Most of the caretakers preferred syrups for inhalers in the management of asthma. Specifically 72(62.1%) felt bronchodilatation is best achieved by syrups while only 34(29.3%) would prefer inhalers on their child given choice. Whilst self-reported asthma knowledge was high, with less than one-fifth of caregivers rating themselves as 'not knowledgeable' (n=23, 19.8%) just less than one third of respondents accepted that their child had asthma (n=38, 32.8%). |
| Varwani et al (2019) | Acute coronary syndrome admissions to the Aga Khan University Hospital, Nairobi (AKUHN) | Retrospective chart review | Jan 2012 - Dec 2013 | 230 patients (81.2% of STEMI patients; 82.2% NSTE-ACS were male gender) | Delayed presentation (more than 6 h after symptom onset) was common, accounting for 66.1% of patients. Coronary angiography was performed in 85.2% of the patients. In-hospital mortality rate was 7.8% [14.9% for STEMI and 2.3% for non-ST-segment ACS (NSTE-ACS, consisting of NSTEMI and UA)], and the mortality rates at 30 days and one year were 7.8 and 13.9%, respectively. Heart failure occurred in 40.4% of STEMI and 16.3% of NSTE-ACS patients. |
Updated quality assessment (method: Cochrane collaboration' tool for assessing risk of bias) (2015-2020).
| Random sequence generation (selection bias) | Allocation concealment (selection bias) | Blinding of participants and personnel (performance bias) | Blinding of outcome assessment (detection bias) | Incomplete outcome data addressed (attrition bias) | Selective reporting (reporting bias) | Other sources of bias | Total low on risk of bias | |
|---|---|---|---|---|---|---|---|---|
| Ali et al (2018) | High risk | High risk | High risk | High risk | Low risk | High risk | Low risk | (2/7) |
| Bahiru et al (2018) | Low risk | Low risk | Low risk | Low risk | High risk | Low risk | High risk | (5/7) |
| Bahiru et al (2018) | High risk | High risk | High risk | Low risk | Low risk | Low risk | Low risk | (4/7) |
| Cranmer at al (2018) | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (7/7) |
| Edwards et al (2015) | High risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (6/7) |
| Evans et al (2017) | High risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (6/7) |
| Juma et al (2019) | High risk | Low risk | Low risk | Low risk | High risk | Low risk | Low risk | (5/7) |
| Kamau et al (2018) | High risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (6/7) |
| Kimeu et al (2016) | High risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (6/7) |
| Lin et al (2017) | High risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (6/7) |
| Mbui et al (2017) | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (7/7) |
| Saleeby et al (2019) | Low risk | Low risk | Low risk | Low risk | High risk | Low risk | Low risk | (6/7) |
| Simba et al (2018) | High risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (6/7) |
| Varwani et al (2019) | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | (7/7) |
From: Higgins JPT, Altman DG, Sterne JAC, eds. Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011.