Brand extensions’ influence on brand image : empirical study on Bodrex’sbrand

Bodrex’s manufacturer is attempting to use Bodrex brand success to enter flu  and  cough  medicine  category  by  releasing  Bodrex  Flu  dan  Batuk.  The launching  of  Bodrex  Flu  dan  Batuk  will  affect  Bodrex’s  brand  image.  The objective of this research is to examine the influence of Bodrex Flu dan Batuk on Bodrex’s brand  image.  This  research  was  conducted  in  Yogyakarta  using purposive  sampling  method  on  respondents  that  have  been  using  Bodrex  for  6 months.  Data  were  collected  by  using  questionnaire  with  Likert  scale  that measured  initial  brand  image,  category  fit,  image  fit,  consumers’  attitude towards  brand  extension,  innovativeness,  and  final  brand  image.  Structural Equation Modeling  (SEM) application was  used  to analyse data.  Research result showed that brand extension has its effect on Bodrex’s brand image, in which its final  brand  image  was  affected  significantly  by  consumers’  attitude  towards brand  extension  (t-value  =  4.88)  and  initial  brand  image  (t-value  =  15.14). However, initial brand image (standardized solution = 0,88) has a larger role in final  brand  image  formation  than  consumers’  attitude  towards  brand  extension (standardized  solution  =  0.15).  Consumers’  attitude  towards  Bodrex’s  brand extension  affected  significantly  by  image  fit  (t-value  =  5.29),  category  fit  (tvalue = 1.99) and insignificantly by initial brand image (t-value = 0.49). The   result    also    showed   that  innovativeness  significantly  (t-value  =  -2.79) moderates  category  fit  relation  with  consumers  attitude  towards  brand extension.Key words: brand extension, brand image, Bodrex, innovativenes

Models for predicting the quality of life domains on the general population through the orange data mining approach

The incidence of type 2 diabetes mellitus (DM) has been predicted to increase until 2045 in the world. Furthermore, long-term treatment and lifestyle factors affect the quality of life. This study aims to determine the models that can be used to predict the quality-of-life domains in prediabetes patients by using Artificial Intelligent (AI) devices. This is a cross-sectional design in which the inclusion criteria were individuals of age above 18 years and has never been diagnosed with diabetes mellitus (both type 1 DM and type 2 DM), fasted for at least 8 hours, and are willing to sign an informed consent after having received an explanation. Participants were asked to fill out two questionnaires, namely the Indonesian version of the Finnish Diabetes Risk Score (FINDRISC) and the EuroQoL-5 Dimensions-5 Level (EQ-5D-5L). The AI application uses Orange® machine learning with three models used in predictive analysis, such as Logistic Regression, Neural Network, and SVM. In addition, the model was evaluated using the sensitivity, precision, and accuracy of the AU-ROC parameters. The results showed that the neural network model based on the AUC value, precision, accuracy, and also the ROC analysis, was the best for predicting the utility index of domains in the EQ-5D-5L questionnaire, based on demographic data and the FINDRISC questionnaire

RELIABILITY AND VALIDITY OF HYPOTHETICAL SCENARIOS FOR ESTIMATING WILLINGNESS TO PAY (WTP) PER QUALITY ADJUSTED LIFE YEAR (QALY) IN INDONESIA SETTING

Objective: To estimate validity and reliability of WTP questionnaire which WTP value can be taken as an indication of the monetary value of health gains, which may carry information regarding the appropriate height of the cost-effectiveness threshold.Methods: Three hundred respondents, in Yogyakarta province, Indonesia, were interviewed during June 2017. We examine a value of WTP associated with the following scenarios: 1) improving moderate condition; 2) extending life during terminal illness, and 3) lifesaving. The interview ascertained maximum hypothetical WTP for one QALY using a dichotomous bidding format with an open-ended final question, along with questions about the socio-economic factors. Concerning validity, the WTP of the 3 versions of hypothetical scenarios were compared as known-group validity and analysis of the sensitivity and specificity was performed. Test-retest reliability and alpha Cronbach were employed to measure internal consistency.Results: Analysis generally confirmed the validity and reliability of the WTP hypothetical scenarios. In terms of known group validity, there was significant difference across two scenarios (treatment v. s lifesaving), but no significant difference between mean WTP for treatment and terminal illness was found. Mean WTP for terminal illness (38 Million IDR) and lifesaving scenario (16 Million IDR) was significantly higher than that of treatment scenario (14 Million IDR). The WTP instrument showed good convergent validity (r=0.784), when comparing correlation between WTP value and utility score. Estimation of scenario's sensitivity and specificity in deriving expected WTP were 70.33 % and 38.98 %, respectively. The positive and negative predictive values were 64 % and 46 %. The test-retest reliability of WTP values indices excellent stability and reliability of the instrument with Spearman's rank correlation coefficient of 0.816 (p<0.001)Conclusion: This study demonstrated that the WTP instrument is feasible and relatively reliable for measuring the WTP values in Indonesia. For wider application of the instrument, its validity should be investigated further. Meanwhile, adoption of WTP as an empirical evidence of societal values is encouraged.Â

Models for predicting the quality of life domains on the general population through the orange data mining approach

The incidence of type 2 diabetes mellitus (DM) has been predicted to increase until 2045 in the world. Furthermore, long-term treatment and lifestyle factors affect the quality of life. This study aims to determine the models that can be used to predict the quality-of-life domains in prediabetes patients by using Artificial Intelligent (AI) devices. This is a cross-sectional design in which the inclusion criteria were individuals of age above 18 years and has never been diagnosed with diabetes mellitus (both type 1 DM and type 2 DM), fasted for at least 8 hours, and are willing to sign an informed consent after having received an explanation. Participants were asked to fill out two questionnaires, namely the Indonesian version of the Finnish Diabetes Risk Score (FINDRISC) and the EuroQoL-5 Dimensions-5 Level (EQ-5D-5L). The AI application uses Orange® machine learning with three models used in predictive analysis, such as Logistic Regression, Neural Network, and SVM. In addition, the model was evaluated using the sensitivity, precision, and accuracy of the AU-ROC parameters. The results showed that the neural network model based on the AUC value, precision, accuracy, and also the ROC analysis, was the best for predicting the utility index of domains in the EQ-5D-5L questionnaire, based on demographic data and the FINDRISC questionnaire

Validity and reliability of the Indonesian Version of HIV-KQ-18 in assessing public knowledge about HIV/AIDS in the special region of Yogyakarta

An assessment of public knowledge about HIV/AIDS is necessary for the development of educational strategies and materials. A valid and reliable instrument is needed to obtain comparable assessment of public knowledge about HIV/AIDS from time to time. This research study aims to determine the validity and reliability of the Indonesian version of HIV-KQ-18 in assessing public knowledge about HIV/AIDS in the Special Region of Yogyakarta. This research study used a cross-sectional design with the inclusion criteria being people living in Yogyakarta who were at least 18 years old and the exclusion criteria being respondents who did not fill out the instrument completely and did not fill out duplicate forms from the same respondent. The instrument was analyzed using product-moment correlation and known-group validity, while its reliability was tested using Kuder-Richardson Formula 20 (KR20). The total number of respondents as the subjects in this research study was 305. The results of the validity test of the HIV-KQ-18 obtained an r-xy value from 0.177-.564, greater than r-table (0.112), and the HIV-KQ-18 instrument exhibited high reliability with a KR20 value of 0.763. The test of known-groups validity showed that there were significant differences in all groups tested, except for the group based on age. The HIV-KQ-18 is a valid and reliable instrument and it can be used to assess public knowledge about HIV/AIDS in the Special Region of Yogyakarta

Dispensing Prescription Medicines without a Prescription in Pharmacy

A poor drug monitoring system in many developing countries makes patient easy to buy any prescription medicines without prescription. This research aimed to assess the compliance of pharmacy towards prescription medicine’s regulations, pharmacist knowledge toward a list of medicines as prescription or over the counter medicines, and the reasons associated with dispensing prescription medicines without a prescription in pharmacy. The research was a descriptive non-experimental study. The sample was taken using simple random sampling in Sleman and Kota Yogyakarta Regency from September 2016 to January 2017. Data were taken in 2 steps, using simulated patient and a questionnaire one week after the first step. The simulated patient would come to the pharmacy and requested amlodipine 5 mg 10 tablets and allopurinol 100 mg 20 tablets. The questionnaire assessed pharmacist knowledge in classifying of several medicines as prescription or over the counter medicines, information taken and given when dispensing prescription medicines without a prescription, and the reason associated with dispensing prescription medicines without a prescription. The data were analyzed descriptively. The results showed that from 138 pharmacies randomly selected, 132 pharmacies (95,7%) dispensed amlodipine and 127 pharmacies (92,0%) sold allopurinol without a prescription. Majority of pharmacists (more than 85%) hold a view that prescription medicines mainly for chronic diseases (glibenclamide, metformin, amlodipine, captopril, allopurinol, dan simvastatin) as the over the counter medicines, as the main reason was patients regularly taking this medication before. However, the majority of pharmacists (79,2%) perceived that antibiotics as prescription medicines that should be dispensed only with a medical prescription. This research showed that pharmacist does not fully implement applicable regulations

Impact of the COVID-19 pandemic on the outcomes of Indonesian chronic disease management program

Background: The Indonesian Government launched chronic disease management program (PROLANIS) with the aim of improving clinical outcomes and preventing disease complications of patients with type 2 diabetes (T2D). During the coronavirus disease 2019 (COVID-19) pandemic, the overwhelmed healthcare system shifted resources away from non-communicable diseases in the attempt to mitigate it. Thus, the implementation of PROLANIS during the COVID-19 pandemic might not be as optimal as before the pandemic era, leading to worse clinical outcomes. This pilot study aims to evaluate the impact of the COVID-19 pandemic on PROLANIS in rural areas by analyzing the changes of metabolic control and renal function parameters.Methods: This study used data from three PROLANIS groups report in rural areas in East Java Province, Indonesia. Study population was PROLANIS participants who came for six-month-evaluation in December 2019 (T0), June 2020 (T1), and December 2020 (T2). Evaluated metabolic control parameters were body mass index (BMI), blood pressure, hemoglobin A1C (HbA1C), total cholesterol (TC), high-density lipid, low-density lipid, and triglyceride (TG), whereas evaluated renal function parameters were blood urea nitrogen, serum creatinine, and urinary albumin. Independent t-test and Wilcoxon signed-rank test were used for statistical analyses. p-value <0.05 was considered statistically significant.Results: Among 52 PROLANIS participants included in the analyses, four metabolic control parameters (BMI, blood pressure, TC, and TG) and all renal function parameters significantly worsened right after the pandemic started but improved 6 months afterwards. Meanwhile, HbA1C continuously worsened throughout the study period, albeit statistically insignificant.Conclusions: The metabolic control and renal function parameters in our study population deteriorates especially in the beginning of the COVID-19 pandemic