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Quite a few function playQuestionnaire with each open and closed ended questions. Quite a few part play sessions of translating inquiries from English to the local languages and field pretesting amongst the information collection team ensured sufficient practice prior to actual field information collection. Supervisors helped to resolve any emerging challenges through the field data collection and also checked filled questionnaires for completeness. Data collection lasted 4 weeks for each qualitative and quantitative survey.Information analysisThe household data was coded, categorized, entered in SPSS and was exported and analyzed in STATA. Descriptive and inference statistics had been the key tools employed to discover and interpret findings on the quantitative survey data. To examine the factors that figure out the use or otherwise of CHW services, probability (probit) estimation technique was employed for this study because it makes use of maximum likelihood estimation. Additionally, the dependent variable is usually a binary dummy variable which requires worth of 1 if CHW solutions are used journal.pcbi.1005422 and 0 if CHW services aren’t used . The dependent variable within this study could be the intention to utilize the services of theAbbey et al. BMC Public Health (2016) 16:Page 4 ofCHWs or not. The explanatory variables included the age of the caregiver, sex, religion, education, constraints (monetary, unfriendly employees, and proximity for the CHW), marital status and birth parity (number of young children) with the respondents. The tape-recorded FGDs and KIIs were transcribed verbatim, supplemented with field notes and any identifying facts removed to make sure participants anonymity . We adopted the grounded theory approach for the data evaluation. The initial author as well as the moderator of your interviews read all transcripts several occasions to familiarize using the information, identify crucial themes and create a coding scheme. The transcripts had been analyzed and coded. We compared coded themes and discussed discrepancies till agreement was reached. We then grouped segments of the interviews under the relevant codes and additional analyzed the data by sub themes.Table 1 Demographic Qualities of Caregivers in Selected Households in Dangme West District, GhanaVariable Sex Male Female Age (Years) 16?4 25?four 35?four 45?4 55+ Religion None Christianity Muslim Traditionalist Missing Education None Principal JSS/Middle College Secondary/SSS Tertiary Vocational/Tirabrutinib web Technical Ethnicity Ga Adangme Ewe Akan Dagomba/Gonja/Mamprusi Other folks Missing Marital status Never ever Married Married Divorced/separated/widowed Occupation Unemployed Farmer Artisan Trader Other people Missing 83 124 81 181 31 1 16.6 24.eight 16.2 36.1 six.2 0.2 11 440 50 2.two 87.8 10.0 341 123 15 15 5 2 68.1 24.six 3.0 three.0 1.0 0.4 144 138 184 21 11 3 28.7 27.five 36.7 4.2 two.2 0.6 23 439 32 five two 4.six 87.6 6.four 1.0 0.four 105 234 103 35 24 20.9 46.7 20.six 7.0 four.eight 53 448 10.six 89.4 N (501) PercentResults Benefits are presented by techniques. We report very first on outcomes with the quantitative study then the qualitative. Important findings reported are demographic qualities, perceptions on pneumonia and therapy practices, intention or willingness to work with CHW solutions and remedy for childhood fever.Demographic characteristics journal.pone.0174109 of respondentsThe caregivers had been predominantly female, and aged amongst 25 and 34 years, as shown in Table 1.