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1.
BMC Infect Dis ; 23(1): 236, 2023 Apr 17.
Article in English | MEDLINE | ID: mdl-37069571

ABSTRACT

BACKGROUND: Tuberculosis (TB) remains a major public health threat in Ghana. The impact of COVID-19 resulted in a 15% decline of TB case notification in 2020 compared to 2019. To mitigate the impact on TB services, the Ghana National Tuberculosis Programme (NTP) introduced the bidirectional screening and testing for TB and COVID-19 in 2021. OBJECTIVE: To evaluate the yield of bidirectional screening and testing for TB and COVID-19 among facility attendees in the Greater Accra region. METHOD: We used secondary data obtained from the initial implementation stage of the bidirectional testing for TB and COVID-19 among COVID-19 and/or TB presumed cases in five health facilities in the Greater Accra Region from January to March 2021. To mitigate the impact of COVID-19 on TB services and accelerate TB case detection, the NTP of Ghana introduced bidirectional screening and testing for TB and COVID-19 in Greater Accra Region before scaling up at national level. RESULTS: A total of 208 presumed TB or COVID-19 cases were identified: 113 were tested for COVID-19 only, and 94 were tested for both TB and COVID-19, 1 was tested for TB only. Among presumed cases tested for COVID-19, 9.7% (95% CI, 5.6-13.7%) were tested positive. Whilst among the total presumed tested for TB, 13.7% (95% CI, 6.8-20.6%) were confirmed to have TB. Among the total 94 presumed cases tested for both TB and COVID-19, 11.7% (95% CI, 5.2-18.2%) were confirmed to have TB and 13.8% (95% CI, 6.9-20.8%) participants were COVID-19 positive and one participant (1.1%) had both COVID-19 and TB. CONCLUSION: Bidirectional screening and testing for TB and COVID-19 shows significant potential for improving overall case detection for the two diseases. The bidirectional screening and testing could be applicable to address a similar respiratory epidemic in the future that might have a masking effect on the response to TB disease.


Subject(s)
COVID-19 , Tuberculosis , Humans , Ghana/epidemiology , Outpatients , COVID-19/diagnosis , COVID-19/epidemiology , Tuberculosis/diagnosis , Tuberculosis/epidemiology , Health Facilities
2.
EClinicalMedicine ; 12: 31-42, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31388661

ABSTRACT

BACKGROUND: MHealth interventions promise to bridge gaps in clinical care but documentation of their effectiveness is limited. We evaluated the utilization and effect of an mhealth clinical decision-making support intervention that aimed to improve neonatal mortality in Ghana by providing access to emergency neonatal protocols for frontline health workers. METHODS: In the Eastern Region of Ghana, sixteen districts were randomized into two study arms (8 intervention and 8 control clusters) in a cluster-randomized controlled trial. Institutional neonatal mortality data were extracted from the District Health Information System-2 during an 18-month intervention period. We performed an intention-to-treat analysis and estimated the effect of the intervention on institutional neonatal mortality (primary outcome measure) using grouped binomial logistic regression with a random intercept per cluster. This trial is registered at ClinicalTrials.gov (NCT02468310 ) and Pan African Clinical Trials Registry (PACTR20151200109073). FINDINGS: There were 65,831 institutional deliveries and 348 institutional neonatal deaths during the study period. Overall, 47 âˆ™ 3% of deliveries and 56 âˆ™ 9% of neonatal deaths occurred in the intervention arm. During the intervention period, neonatal deaths increased from 4 âˆ™ 5 to 6 âˆ™ 4 deaths and, from 3 âˆ™ 9 to 4 âˆ™ 3 deaths per 1000 deliveries in the intervention arm and control arm respectively. The odds of neonatal death was 2⋅09 (95% CI (1 âˆ™ 00;4 âˆ™ 38); p = 0 âˆ™ 051) times higher in the intervention arm compared to the control arm (adjusted odds ratio). The correlation between the number of protocol requests and the number of deliveries per intervention cluster was 0 âˆ™ 71 (p = 0 âˆ™ 05). INTERPRETATION: The higher risk of institutional neonatal death observed in intervention clusters may be due to problems with birth and death registration, unmeasured and unadjusted confounding, and unintended use of the intervention. The findings underpin the need for careful and rigorous evaluation of mHealth intervention implementation and effects. FUNDING: Netherlands Foundation for Scientific Research - WOTRO, Science for Global Development; Utrecht University.

3.
JMIR Mhealth Uhealth ; 7(5): e12879, 2019 05 24.
Article in English | MEDLINE | ID: mdl-31127719

ABSTRACT

BACKGROUND: Developing and maintaining resilient health systems in low-resource settings like Ghana requires innovative approaches that adapt technology to context to improve health outcomes. One such innovation was a mobile health (mHealth) clinical decision-making support system (mCDMSS) that utilized text messaging (short message service, SMS) of standard emergency maternal and neonatal protocols via an unstructured supplementary service data (USSD) on request of the health care providers. This mCDMSS was implemented in a cluster randomized controlled trial (CRCT) in the Eastern Region of Ghana. OBJECTIVE: This study aimed to analyze the pattern of requests made to the USSD by health workers (HWs). We assessed the relationship between requests made to the USSD and types of maternal and neonatal morbidities reported in health facilities (HFs). METHODS: For clusters in the intervention arm of the CRCT, all requests to the USSD during the 18-month intervention period were extracted from a remote server, and maternal and neonatal health outcomes of interest were obtained from the District Health Information System of Ghana. Chi-square and Fisher exact tests were used to compare the proportion and type of requests made to the USSD by cluster, facility type, and location; whether phones accessing the intervention were shared facility phones or individual-use phones (type-of-phone); or whether protocols were accessed during the day or at night (time-of-day). Trends in requests made were analyzed over 3 6-month periods. The relationship between requests made and the number of cases reported in HFs was assessed using Spearman correlation. RESULTS: In total, 5329 requests from 72 (97%) participating HFs were made to the intervention. The average number of requests made per cluster was 667. Requests declined from the first to the third 6-month period (44.96% [2396/5329], 39.82% [2122/5329], and 15.22% [811/5329], respectively). Maternal conditions accounted for the majority of requests made (66.35% [3536/5329]). The most frequently accessed maternal conditions were postpartum hemorrhage (25.23% [892/3536]), other conditions (17.82% [630/3536]), and hypertension (16.49% [583/3536]), whereas the most frequently accessed neonatal conditions were prematurity (20.08% [360/1793]), sepsis (15.45% [277/1793]), and resuscitation (13.78% [247/1793]). Requests made to the mCDMSS varied significantly by cluster, type of request (maternal or neonatal), facility type and its location, type-of-phone, and time-of-day at 6-month interval (P<.001 for each variable). Trends in maternal and neonatal requests showed varying significance over each 6-month interval. Only asphyxia and sepsis cases showed significant correlations with the number of requests made (r=0.44 and r=0.79; P<.001 and P=.03, respectively). CONCLUSIONS: There were variations in the pattern of requests made to the mCDMSS over time. Detailed information regarding the use of the mCDMSS provides insight into the information needs of HWs for decision-making and an opportunity to focus support for HW training and ultimately improved maternal and neonatal health.


Subject(s)
Decision Support Systems, Clinical/standards , Outcome Assessment, Health Care/methods , Telemedicine/instrumentation , Adult , Decision Support Systems, Clinical/instrumentation , Decision Support Systems, Clinical/statistics & numerical data , Female , Ghana , Humans , Infant , Infant Mortality/trends , Maternal Mortality/trends , Outcome Assessment, Health Care/statistics & numerical data , Pregnancy , Quality of Health Care , Telemedicine/standards , Telemedicine/statistics & numerical data
4.
Trials ; 18(1): 157, 2017 04 04.
Article in English | MEDLINE | ID: mdl-28372580

ABSTRACT

BACKGROUND: Mobile health (mHealth) presents one of the potential solutions to maximize health worker impact and efficiency in an effort to reach the Sustainable Development Goals 3.1 and 3.2, particularly in sub-Saharan African countries. Poor-quality clinical decision-making is known to be associated with poor pregnancy and birth outcomes. This study aims to assess the effect of a clinical decision-making support system (CDMSS) directed at frontline health care providers on neonatal and maternal health outcomes. METHODS/DESIGN: A cluster randomized controlled trial will be conducted in 16 eligible districts (clusters) in the Eastern Region of Ghana to assess the effect of an mHealth CDMSS for maternal and neonatal health care services on maternal and neonatal outcomes. The CDMSS intervention consists of an Unstructured Supplementary Service Data (USSD)-based text messaging of standard emergency obstetric and neonatal protocols to providers on their request. The primary outcome of the intervention is the incidence of institutional neonatal mortality. Outcomes will be assessed through an analysis of data on maternal and neonatal morbidity and mortality extracted from the District Health Information Management System-2 (DHIMS-2) and health facility-based records. The quality of maternal and neonatal health care will be assessed in two purposively selected clusters from each study arm. DISCUSSION: In this trial the effect of a mobile CDMSS on institutional maternal and neonatal health outcomes will be evaluated to generate evidence-based recommendations for the use of mobile CDMSS in Ghana and other West African countries. TRIAL REGISTRATION: ClinicalTrials.gov, identifier: NCT02468310 . Registered on 7 September 2015; Pan African Clinical Trials Registry, identifier: PACTR20151200109073 . Registered on 9 December 2015 retrospectively from trial start date.


Subject(s)
Clinical Decision-Making , Decision Support Systems, Clinical , Infant Mortality , Maternal Health Services , Maternal Mortality , Pregnancy Complications/therapy , Telemedicine/methods , Text Messaging , Decision Support Systems, Clinical/standards , Developing Countries , Female , Ghana , Humans , Infant , Infant Health , Infant, Newborn , Maternal Health , Maternal Health Services/standards , Practice Guidelines as Topic , Pregnancy , Pregnancy Complications/diagnosis , Pregnancy Complications/mortality , Research Design , Risk Factors , Telemedicine/standards , Time Factors
5.
Influenza Other Respir Viruses ; 10(5): 367-74, 2016 09.
Article in English | MEDLINE | ID: mdl-27239956

ABSTRACT

BACKGROUND: Influenza epidemiology in Africa is generally not well understood. Using syndrome definitions to screen patients for laboratory confirmation of infection is an established means to effectively conduct influenza surveillance. METHODS: To compare influenza-related epidemiologic data, from October 2010 through March 2013, we enrolled hospitalized severe acute respiratory infection (SARI; fever with respiratory symptoms) and acute febrile illness (AFI; fever without respiratory or other localizing symptoms) patients from three referral hospitals in Ghana. Demographic and epidemiologic data were obtained from enrolled patients after which nasopharyngeal and oropharyngeal swabs were collected, and processed by molecular methods for the presence of influenza viruses. RESULTS: Of 730 SARI patients, 59 (8%) were influenza positive; of 543 AFI patients, 34 (6%) were positive for influenza. Both SARI and AFI surveillance yielded influenza A(H3N2) (3% versus 1%), A(H1N1)pdm09 (2% versus 1%), and influenza B (3% versus 4%) in similar proportions. Data from both syndromes show year-round influenza transmission but with increased caseloads associated with the rainy seasons. CONCLUSIONS: As an appreciable percentage of influenza cases (37%) presented without defined respiratory symptoms, and thus met the AFI but not the SARI definition, it is important to consider broader screening criteria (i.e., AFI) to identify all laboratory-confirmed influenza. The identified influenza transmission seasonality has important implications for the timing of related public health interventions.


Subject(s)
Hospitalization/statistics & numerical data , Influenza A Virus, H1N1 Subtype/isolation & purification , Influenza A Virus, H3N2 Subtype/isolation & purification , Influenza, Human/epidemiology , Inpatients , Respiratory Tract Infections/epidemiology , Sentinel Surveillance , Acute Disease/epidemiology , Adolescent , Adult , Child , Child, Preschool , Female , Fever , Ghana/epidemiology , Humans , Male , Middle Aged , Nasopharynx/virology , Respiratory Tract Infections/virology , Young Adult
6.
Diabetol Metab Syndr ; 5: 42, 2013.
Article in English | MEDLINE | ID: mdl-23895401

ABSTRACT

BACKGROUND: The worldwide epidemic of diabetes and obesity has resulted in a rapid upsurge in the prevalence of metabolic syndrome (MetS). MetS makes the individual liable to endothelial dysfunction which can initiate sexual dysfunction (SD). This study assessed the association between MetS and SD among clinically diagnosed diabetic subjects in Tema, Greater Accra Region of Ghana. METHOD: Sexual functioning was assessed using Golombok Rust Inventory of Sexual Satisfaction in 300 consecutive diabetic men visiting the diabetic clinic of Tema General Hospital between November, 2010 and March, 2011. Anthropometric data including waist and hip circumference as well as blood pressure were measured. The levels of fasting blood glucose and serum lipid profile were assessed. All the men had a steady heterosexual relationship for at least 2 years before enrolment in the study. RESULTS: The response rate was 91.3% out of the 300 subjects recruited for the study. Those with SD were significantly older and had diabetes for a longer period as compared to those without SD. The prevalence of MetS as defined by the various criteria was 78.8%, 43.4% and 51.8% for WHO, NCEP ATP III and IDF respectively. Central obesity (p = 0.0482) and raised blood pressure (p = 0.0309) are the significant MetS components when the studied population was stratified according to sexual functioning. Generally, SD as well as its sub-scales correlate positively with age, blood pressure, duration of diabetes and MetS score. Whereas TC and LDL-c correlated positively with non-communication, TG correlates positively with avoidance and infrequency. CONCLUSION: SD and its sub-scales have a direct relationship with duration of diabetes, blood pressure and MetS score from this study. Central obesity and raised blood pressure seem to be the link between MetS and SD among this clinically diagnosed diabetic subjects.

7.
Reprod Biol Endocrinol ; 9: 70, 2011 May 25.
Article in English | MEDLINE | ID: mdl-21612653

ABSTRACT

BACKGROUND: Diabetes mellitus is a chronic disease that can result in various medical, psychological and sexual dysfunctions (SD) if not properly managed. SD in men is a common under-appreciated complication of diabetes. This study assessed the prevalence and determinants of SD among diabetic patients in Tema, Greater Accra Region of Ghana. METHOD: Sexual functioning was determined in 300 consecutive diabetic men (age range: 18-82 years) visiting the diabetic clinic of Tema General Hospital with the Golombok Rust Inventory of Sexual Satisfaction (GRISS) questionnaire, between November, 2010 and March, 2011. In addition to the socio-demographic characteristics of the participants, the level of glycosylated haemoglobin, fasting blood sugar (FBS) and serum testosterone were assessed. All the men had a steady heterosexual relationship for at least 2 years before enrolment in the study. RESULTS: Out the 300 participants contacted, the response rate was 91.3% after 20 declined participation and 6 incomplete data were excluded All the respondents had at least basic education, 97.4% were married, 65.3% were known hypertensive, 3.3% smoked cigarettes, 27% took alcoholic beverages and 32.8% did some form of exercise. The 69.3% SD rate observed in this study appears to be related to infrequency (79.2%), non-sensuality (74.5%), dissatisfaction with sexual acts (71.9%), non-communication (70.8%) and impotence (67.9%). Other areas of sexual function, including premature ejaculation (56.6%) and avoidance (42.7%) were also substantially affected. However, severe SD was seen in only 4.7% of the studied population. The perceived "adequate", "desirable", "too short" and "too long intra-vaginal ejaculatory latency time (IELT) are 5-10, 5-10, 1-2 and 15-30 minutes respectively. Testosterone correlates negatively with glycated haemoglobin (HBA1c), FBS, perceived desirable, too short IELT, and weight as well as waist circumference. CONCLUSION: SD rate from this study is high but similar to that reported among self-reported diabetic patients in Kumasi, Ghana and vary according to the condition and age. The determinants of SD from this study are income level, exercise, obesity, higher perception of "desirable" and "too short" IELT.


Subject(s)
Diabetes Complications/etiology , Sexual Dysfunction, Physiological/etiology , Adolescent , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Diabetes Complications/blood , Diabetes Complications/epidemiology , Humans , Male , Middle Aged , Prevalence , Risk Factors , Sexual Dysfunction, Physiological/blood , Sexual Dysfunction, Physiological/epidemiology , Sexual Dysfunctions, Psychological/blood , Sexual Dysfunctions, Psychological/epidemiology , Sexual Dysfunctions, Psychological/etiology , Surveys and Questionnaires , Testosterone/blood , Young Adult
8.
Indian J Clin Biochem ; 26(4): 366-72, 2011 Oct.
Article in English | MEDLINE | ID: mdl-23024472

ABSTRACT

There is scanty information on the role of genetic factors, especially those relating to haptoglobin (Hp) phenotypes in the expression of complications among diabetes mellitus patients in Ghana. In this study, we investigated whether there is any association between Hp phenotypes and diabetic complications and to determine if association of the Hp phenotypes with diabetic complications in Ghanaian diabetics differ from those in Caucasians. A total of 398 participants were randomly recruited into the study. These comprised diabetic patients numbering 290 attending a diabetes Clinic in Ghana and 108 non-diabetic controls from the same community. Analyses of the results indicate that most of the diabetics with complications were of the Hp 2-2 (35%) and Hp 2-1 (23.9%) phenotypes. Fewer diabetics were found to be of the Hp 2-1 M phenotype. The controls were mostly of Hp 1-1 and Hp 2-1 M phenotypes. The odds ratio of having complications in a diabetic with an Hp 2-2 phenotype was 18.27 times greater than that for Hp 0-0. Hp 2-2 phenotype with its poor antioxidant activity may therefore be a useful predictor for the propensity of an individual to develop diabetes complications.

9.
Indian J Clin Biochem ; 26(3): 261-8, 2011 Jul.
Article in English | MEDLINE | ID: mdl-22754190

ABSTRACT

In this study, differences in lipid levels amongst diabetics with and without complications were assessed to determine lipid disorders that are associated with diabetic complications other than cardiovascular diseases. A Cross sectional study design was employed. The study included 288 diabetics and 108 non diabetics with different types of complications such as hypertension, nephropathy, neuropathy, and retinopathy. The mean serum total cholesterol was higher in patients with complications compared to those without complications and the non-diabetic controls. The normotensive diabetic patients had the lowest total cholesterol among the diabetic patients' groups (4.65 ± 0.17 mmol/l) compared to the diabetics with hypertension (6.051 ± 0.20 mmol/l), retinopathy (6.26 ± 0.29 mmol/l), neuropathy (5.80 ± 0.17 mmol/l) and nephropathy patients 5.74 ± 0.26 mmol/l (P < 0.05). The prevalence of dyslipidaemia among diabetic subjects was between 19.2 and 84.0%. The study shows that, in addition to macrovascular complications, dyslipidaemia is common in type 2 diabetes mellitus patients with microvascular complications.

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