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Open Access
Article
Publication date: 26 July 2021

Liisa Jaakkimainen, Imaan Bayoumi, Richard H. Glazier, Kamila Premji, Tara Kiran, Shahriar Khan, Eliot Frymire and Michael E. Green

The authors developed and validated an algorithm using health administrative data to identify patients who are attached or uncertainly attached to a primary care provider (PCP…

1850

Abstract

Purpose

The authors developed and validated an algorithm using health administrative data to identify patients who are attached or uncertainly attached to a primary care provider (PCP) using patient responses to a survey conducted in Ontario, Canada.

Design/methodology/approach

The authors conducted a validation study using as a reference standard respondents to a community-based survey who indicated they did or did not have a PCP. The authors developed and tested health administrative algorithms against this reference standard. The authors calculated the sensitivity, specificity positive predictive value (PPV) and negative predictive value (NPV) on the final patient attachment algorithm. The authors then applied the attachment algorithm to the 2017 Ontario population.

Findings

The patient attachment algorithm had an excellent sensitivity (90.5%) and PPV (96.8%), though modest specificity (46.1%) and a low NPV (21.3%). This means that the algorithm assigned survey respondents as being attached to a PCP and when in fact they said they had a PCP, yet a significant proportion of those found to be uncertainly attached had indicated they did have a PCP. In 2017, most people in Ontario, Canada (85.4%) were attached to a PCP but 14.6% were uncertainly attached.

Research limitations/implications

Administrative data for nurse practitioner's encounters and other interprofessional care providers are not currently available. The authors also cannot separately identify primary care visits conducted in walk in clinics using our health administrative data. Finally, the definition of hospital-based healthcare use did not include outpatient specialty care.

Practical implications

Uncertain attachment to a primary health care provider is a recurrent problem that results in inequitable access in health services delivery. Providing annual reports on uncertainly attached patients can help evaluate primary care system changes developed to improve access. This algorithm can be used by health care planners and policy makers to examine the geographic variability and time trends of the uncertainly attached population to inform the development of programs to improve primary care access.

Social implications

As primary care is an essential component of a person's medical home, identifying regions or high need populations that have higher levels of uncertainly attached patients will help target programs to support their primary care access and needs. Furthermore, this approach will be useful in future research to determine the health impacts of uncertain attachment to primary care, especially in view of a growing body of the literature highlighting the importance of primary care continuity.

Originality/value

This patient attachment algorithm is the first to use existing health administrative data validated with responses from a patient survey. Using patient surveys alone to assess attachment levels is expensive and time consuming to complete. They can also be subject to poor response rates and recall bias. Utilizing existing health administrative data provides more accurate, timely estimates of patient attachment for everyone in the population.

Details

Journal of Health Organization and Management, vol. 35 no. 6
Type: Research Article
ISSN: 1477-7266

Keywords

Open Access
Article
Publication date: 11 January 2024

Adewale Allen Sokan-Adeaga, Godson R.E.E. Ana, Abel Olajide Olorunnisola, Micheal Ayodeji Sokan-Adeaga, Hridoy Roy, Md Sumon Reza and Md. Shahinoor Islam

This study aims to assess the effect of water variation on bioethanol production from cassava peels (CP) using Saccharomyces cerevisiae yeast as the ethanologenic agent.

Abstract

Purpose

This study aims to assess the effect of water variation on bioethanol production from cassava peels (CP) using Saccharomyces cerevisiae yeast as the ethanologenic agent.

Design/methodology/approach

The milled CP was divided into three treatment groups in a small-scale flask experiment where each 20 g CP was subjected to two-stage hydrolysis. Different amount of water was added to the fermentation process of CP. The fermented samples were collected every 24 h for various analyses.

Findings

The results of the fermentation revealed that the highest ethanol productivity and fermentation efficiency was obtained at 17.38 ± 0.30% and 0.139 ± 0.003 gL−1 h−1. The study affirmed that ethanol production was increased for the addition of water up to 35% for the CP hydrolysate process.

Practical implications

The finding of this study demonstrates that S. cerevisiae is the key player in industrial ethanol production among a variety of yeasts that produce ethanol through sugar fermentation. In order to design truly sustainable processes, it should be expanded to include a thorough analysis and the gradual scaling-up of this process to an industrial level.

Originality/value

This paper is an original research work dealing with bioethanol production from CP using S. cerevisiae microbe.

Highlights

  1. Hydrolysis of cassava peels using 13.1 M H2SO4 at 100 oC for 110 min gave high Glucose productivity

  2. Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae

  3. Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation

  4. Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L−1.h−1

Hydrolysis of cassava peels using 13.1 M H2SO4 at 100 oC for 110 min gave high Glucose productivity

Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae

Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation

Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L−1.h−1

Details

Arab Gulf Journal of Scientific Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1985-9899

Keywords

Open Access
Article
Publication date: 6 April 2022

H.A. Dimuthu Maduranga Arachchi

This paper is to examine the direct relationship between perceived corporate citizenship (CC) and purchase intention (PI). This study also tests the mediating role of brand trust…

3027

Abstract

Purpose

This paper is to examine the direct relationship between perceived corporate citizenship (CC) and purchase intention (PI). This study also tests the mediating role of brand trust (BT), consumer–brand identification (CBI) and the moderating effect of personal norms by a contribution of social exchange theory, brand relationship theory and social cognitive theory (SCT).

Design/methodology/approach

Quantitative research was carried out by means of a survey with a sample of 411 regular consumers who work for national retail brands, where the unit of analysis was an individual. The study analysed the data to test the research hypotheses using SPSS and Smart PLS.

Findings

This study found a significant positive impact of perceived CC on purchase intention (direct path), and furthermore, a partial mediation was shown for the indirect path. In addition, personal norms have a significant impact on the relationships between perceived CC on purchase intention, brand trust on purchase intention and CBI on purchase intention.

Practical implications

This study provides useful insights for managers to implement CC strategies to enhance consumer purchase intention and brand relationship in the retail sector within the coronavirus disease 2019 (COVID-19) pandemic.

Originality/value

The current study is perhaps the first to investigate the impact of perceived CC on purchase intention across the BT, CBI and personal norms in the retail industry, period of COVID-19 pandemic. The study also makes some important theoretical contributions and previously not shed light on customer behaviour in this context.

Details

IIM Ranchi journal of management studies, vol. 1 no. 2
Type: Research Article
ISSN: 2754-0138

Keywords

Open Access
Article
Publication date: 29 April 2022

H.A. Dimuthu Maduranga Arachchi, R.A. Sudath Weerasiri and Trevor Mendis

This paper examines the direct relationship between perceived corporate citizenship (CC) and purchase intention. This study also tests the mediating role of brand trust (BT)…

3906

Abstract

Purpose

This paper examines the direct relationship between perceived corporate citizenship (CC) and purchase intention. This study also tests the mediating role of brand trust (BT), consumer–brand identification (CBI) and the moderating effect of personal norms and fear to coronavirus disease 2019 (COVID-19) by contributing social exchange theory (SET), brand relationship theory, social cognitive theory (SCT) and fear appeal theory.

Design/methodology/approach

Quantitative research was carried out by means of a survey with a sample of 411 regular consumers who work for national retail brands, where the unit of analysis was an individual. The study analysed the data to test the research hypotheses using SPSS and SMART partial least squares (PLS).

Findings

This study found a significant positive impact of perceived CC on purchase intention (direct path), and furthermore, a partial mediation was shown for the indirect approach. In addition, personal norms and fear to COVID-19 have a significant impact on the relationships between perceived CC on purchase intention, BT on purchase intention and CBI on purchase intention.

Practical implications

This study provides useful insights for managers to implement CC strategies to enhance consumer purchase intention and brand relationship in the retail sector within the COVID-19 pandemic.

Originality/value

The current study is perhaps the first to investigate the impact of perceived CC on purchase intention across BT, CBI, personal norms and fear to COVID-19 in the retail industry, period of COVID-19 pandemic. The study also makes some significant theoretical contributions and previously did not shed light on customer behaviour in this context.

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