Browsing by Author "Amoakoh, H.B."
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Item The effect of anmHealth clinical decision-making support systemon neonatal mortality in a low resource setting: A cluster-randomized controlled trial(EClinicalMedicine, 2018-03-28) Amoakoh-Coleman, M.; Amoakoh, H.B.; Klipstein-Grobusch, K.; Agyepong, I.A.; Zuithoff, N.P.A.; Kayode, G.A.; Sarpong, C.; Reitsma, J.B.; Grobbee, D.E.; Ansah, E.K.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 districtswere 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 neonatalmortality (primary outcomemeasure) 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∙3% of deliveries and 56∙9% of neonatal deaths occurred in the intervention arm. During the intervention period, neonatal deaths increased from 4∙5 to 6∙4 deaths and, from3∙9 to 4∙3 deaths per 1000 deliveries in the intervention armand control arm respectively. The odds of neonatal deathwas 2⋅09 (95% CI (1∙00;4∙38); p=0∙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∙71 (p = 0∙05). Interpretation: The higher risk of institutional neonatal death observed in intervention clustersmay 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.Item Household cost of out-patient treatment of Buruli ulcer in Ghana: a case study of Obom in Ga South Municipality(2013-12-05) Amoakoh, H.B.; Aikins, M.Abstract Background The economic burden of diseases has become increasingly relevant to policy makers as healthcare expenditure keep rising in the face of limited and competing resources. Buruli ulcer (BU), a neglected but treatable tropical disease caused by Mycobacterium ulcerans, the only known environmental mycobacterium is capable of causing long term disability when left untreated. However, most BU studies have tended to focused on its bacteriology, epidemiology, entomology and other social determinants to the neglect of its economic evaluation. This paper reports estimated the household economic costs of BU and describe the intangible cost suffered by BU patients in an endemic area. Methods Retrospective one year cost data was used. A total of 63 confirmed BU cases were randomly sampled for the study. Economic cost and cost burden of BU were estimated. Sensitivity analysis was conducted to test the robustness of the cost estimates. Intangible cost measured stigmatization, pain, functional limitation and social isolation of children. Results The annual total household economic cost was US$35,915.98, of which about 65% was cost incurred by children with a mean cost of US$521.04. The mean annual household cost was US$570.09. The direct cost was 96% of the total cost. Non-medical cost accounts for about 97% of the direct cost with a mean cost of US$529.27. The mean medical cost was US$18.94. The main cost drivers of the household costs were transportation (78%) and food (12%). Caregivers and adult patients lost a total of 535 productive days seeking care, which gives an indirect cost valued at US$1,378.67 with a mean of US$21.88. A total of 365 school days (about 1 year) were lost by 19 BU patients (mean, 19.2 days). Functional loss and pain were low, and stigma rated moderate. Most children suffering from BU (84%) were socially isolated. Conclusion Household cost burden of out-patient BU ulcer treatment was high. Household cost of BU is therefore essential in the design of its intervention. BU afflicted children experience social isolation.Item Household cost of out-patient treatment of Buruli ulcer in Ghana: A case study of Obom in Ga South Municipality(BMC Health Services Research, 2013-12) Amoakoh, H.B.; Aikins, M.Background: The economic burden of diseases has become increasingly relevant to policy makers as healthcare expenditure keep rising in the face of limited and competing resources. Buruli ulcer (BU), a neglected but treatable tropical disease caused by Mycobacterium ulcerans, the only known environmental mycobacterium is capable of causing long term disability when left untreated. However, most BU studies have tended to focused on its bacteriology, epidemiology, entomology and other social determinants to the neglect of its economic evaluation. This paper reports estimated the household economic costs of BU and describe the intangible cost suffered by BU patients in an endemic area. Methods. Retrospective one year cost data was used. A total of 63 confirmed BU cases were randomly sampled for the study. Economic cost and cost burden of BU were estimated. Sensitivity analysis was conducted to test the robustness of the cost estimates. Intangible cost measured stigmatization, pain, functional limitation and social isolation of children. Results: The annual total household economic cost was US$35,915.98, of which about 65% was cost incurred by children with a mean cost of US$521.04. The mean annual household cost was US$570.09. The direct cost was 96% of the total cost. Non-medical cost accounts for about 97% of the direct cost with a mean cost of US$529.27. The mean medical cost was US$18.94. The main cost drivers of the household costs were transportation (78%) and food (12%). Caregivers and adult patients lost a total of 535 productive days seeking care, which gives an indirect cost valued at US$1,378.67 with a mean of US$21.88. A total of 365 school days (about 1 year) were lost by 19 BU patients (mean, 19.2 days). Functional loss and pain were low, and stigma rated moderate. Most children suffering from BU (84%) were socially isolated. Conclusion: Household cost burden of out-patient BU ulcer treatment was high. Household cost of BU is therefore essential in the design of its intervention. BU afflicted children experience social isolation. © 2013 Amoakoh and Aikins; licensee BioMed Central Ltd.Item How and why front-line health workers (did not) use a multifaceted mHealth intervention to support maternal and neonatal healthcare decision-making in Ghana(BMJ Global Health, 2019-03) Amoakoh, H.B.; Klipstein-Grobusch, K.; Ansah, E.K.; Grobbee, D.E.; Yveoo, L.; Agyepong, I.IntroductionDespite increasing use of mHealth interventions, there remains limited documentation of ‘how and why’ they are used and therefore the explanatory mechanisms behind observed effects on beneficiary health outcomes. We explored ‘how and why’ an mHealth intervention to support clinical decision-making by front-line providers of maternal and neonatal healthcare services in a low-resource setting was used. The intervention consisted of phone calls (voice calls), text messaging (short messaging service (SMS)), internet access (data) and access to emergency obstetric and neonatal protocols via an Unstructured Supplementary Service Data (USSD). It was delivered through individual-use and shared facility mobile phones with unique Subscriber Identification Module (SIM) cards networked in a Closed User Group.MethodsA single case study with multiple embedded subunits of analysis within the context of a cluster randomised controlled trial of the impact of the intervention on neonatal health outcomes in the Eastern Region of Ghana was performed. We quantitatively analysed SIM card activity data for patterns of voice calls, SMS, data and USSD. We conducted key informant interviews and focus group discussions with intervention users and manually analysed the data for themes.resultsOverall, the phones were predominantly used for voice calls (64%), followed by data (28%), SMS (5%) and USSD (2%), respectively. Over time, use of all intervention components declined. Qualitative analysis showed that individual health worker factors (demographics, personal and work-related needs, perceived timeliness of intervention, tacit knowledge), organisational factors (resource availability, information flow, availability, phone ownership), technological factors (attrition of phones, network quality) and client perception of health worker intervention usage explain the pattern of intervention use observed.ConclusionHow and why the mHealth intervention was used (or not) went beyond the technology itself and was influenced by individual and context-specific factors. These must be taken into account in designing similar interventions to optimise effectivenessItem Synergies and fragmentation in country level policy and program agenda setting, formulation and implementation for Global Health agendas: a case study of health security, universal health coverage, and health promotion in Ghana and Sierra Leone(BMC Health Services Research, 2021) Agyepong, I.A.; M’Cormack-Hale, F.A.O.; Amoakoh, H.B.; Derkyi-Kwarteng, A.N.C.; Darkwa, T.E.; Odiko-Ollennu, W.Background: Global health agendas have in common the goal of contributing to population health outcome improvement. In theory therefore, whenever possible, country level policy and program agenda setting, formulation and implementation towards their attainment should be synergistic such that efforts towards one agenda promote efforts towards the other agendas. Observation suggests that this is not what happens in practice. Potential synergies are often unrealized and fragmentation is not uncommon. In this paper we present findings from an exploration of how and why synergies and fragmentation occur in country level policy and program agenda setting, formulation and implementation for the global health agendas of Universal Health Coverage (UHC), Health Security (HS) and Health Promotion (HP) in Ghana and Sierra Leone. Our study design was a two country case study. Data collection involved document reviews and Key Informant interviews with national and sub-national level decision makers in both countries between July and December 2019. Additionally, in Ghana a stakeholder workshop in December 2019 was used to validate the draft analysis and conclusions. Results: National and global context, country health systems leadership and structure including resources were drivers of synergies and fragmentation. How global as well as country level actors mobilized power and exercised agency in policy and program agenda setting and implementation processes within country were also important drivers. Conclusions: There is potential in both countries to pull towards synergies and push against fragmentation in agenda setting, formulation and implementation of global health agendas despite the resource and other structural constraints. It however requires political and bureaucratic prioritization of synergies, as well as skilled leadership. It also requires considerable mobilization of country level actor exercise of agency to counter sometimes daunting contextual, systems and structural constraints.Item Using mobile health to support clinical decision-making to improve maternal and neonatal health outcomes in Ghana: Insights of frontline health worker information needs(Journal of Medical Internet Research, 2019-05-24) Amoakoh-Coleman, M.; Amoakoh, H.B.; Klipstein-Grobusch, K.; Grobbee, D.E.; Oduro-Mensah, E.; Sarpong, C.; Frimpong, E.; Kayode, G.A.; Agyepong, I.A.; Ansah, E.K.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.