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1 – 3 of 3Anthony M. Hopper and Maria Uriyo
The purpose of this paper is to test the usefulness of sentiment analysis and time-to-next-complaint methods in quantifying text-based information located on the internet. As…
Abstract
Purpose
The purpose of this paper is to test the usefulness of sentiment analysis and time-to-next-complaint methods in quantifying text-based information located on the internet. As important, the authors demonstrate how managers can use time-to-next-complaint techniques to organize sentiment analysis derived data into useful information, which can be shared with doctors and other staff.
Design/methodology/approach
The authors used sentiment analysis to review patient feedback for a select group of gynecologists in Virginia. The authors utilized time-to-next-complaint methods along with other techniques to organize this data into meaningful information.
Findings
The authors demonstrated that sentiment analysis and time-to-next-complaint techniques might be useful tools for healthcare managers who are interested in transforming web-based text into meaningful, quantifiable information.
Research limitations/implications
This study has several limitations. For one thing, neither the data set nor the techniques the authors used to analyze it will account for biases that resulted from selection issues related to gender, income, and culture, as well as from other socio-demographic concerns. Additionally, the authors lacked key data concerning patient volumes for the targeted physicians. Finally, it may be difficult to convince doctors to consider web-based comments as truthful, thereby preventing healthcare managers from using data located on the internet.
Practical implications
The report illustrates some of the ways in which healthcare administrators can utilize sentiment analysis, along with time-to-next-complaint techniques, to mine web-based, patient comments for meaningful information.
Originality/value
The paper is one of the first to illustrate ways in which administrators at clinics and physicians’ offices can utilize sentiment analysis and time-to-next-complaint methods to analyze web-based patient comments.
Details
Keywords
Christopher M. Donner, Jon Maskály, Wesley G. Jennings and Cynthia Guzman
The purpose of this paper is to review the extant published literature using traditional criminological theories in an effort to explain police misconduct.
Abstract
Purpose
The purpose of this paper is to review the extant published literature using traditional criminological theories in an effort to explain police misconduct.
Design/methodology/approach
This paper reflects a narrative meta-review of through a search of several academic databases (e.g. Criminal Justice Abstracts, Criminology: A SAGE Full Text Collection, EBSCO Host and PsychInfo). Twenty-nine studies, across six theoretical perspectives, were identified and reviewed.
Findings
The extant research generally suggests that traditional criminological theory is useful in explaining misconduct.
Practical implications
The findings call on agencies to continually strengthen their recruiting and hiring processes to select recruits with suitable characteristics, and to improve their early warning systems to detect officers with patterns of problematic behavior. Also, the findings call for multiple avenues of future scholarship, namely, in theory development/integration and in refining the measurement of police misconduct.
Originality/value
This paper will be useful for researchers who wish to further explore the etiology of misconduct, and for police administrators who wish to reduce the prevalence of such behavior.
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Keywords
This study aims first, to provide a typology of complaints concerning the treatment of elderly patients in geriatric wards; second, to estimate reported satisfaction with…
Abstract
Purpose
This study aims first, to provide a typology of complaints concerning the treatment of elderly patients in geriatric wards; second, to estimate reported satisfaction with treatment; and third, to assess the link between verbal concerns and satisfaction.
Design/methodology/approach
Using the “Survey of Geriatric Wards, 2019” a sample of 4,725 family members of patients, hospitalized in 99 geriatric wards in Israel were asked to rate their overall satisfaction with treatment; they also were asked to provide verbal information on the hospitalization experience through an open-ended question. A content analysis was applied to the verbal answers, to classify them into distinct qualitative categories; a regression analysis was applied to examine the impact of the concerns on the level of patient satisfaction, net of patient’s characteristics.
Findings
Level of satisfaction among family members is very high (8.16 on a scale from 1–10), with only very few expressing verbal concerns (2.3%). Content analysis reveals five reoccurring themes: physical violence (33.3%), verbal violence (19.2%), discrimination (21.2%), lack of dignified hospitalization conditions (8.1%) and communication (18.2%). Further analysis reveals that satisfaction among those who complained, especially about interpersonal relations, is considerably and significantly lower than others.
Originality/value
Despite high levels of satisfaction with medical care in geriatric wards, the findings underscore voiced complaints as major source for explaining dis-satisfaction with hospitalization. Complaints in the realm of interpersonal relations, especially regarding verbal violence, discrimination and communication, seem to be most consequential for lowering levels of satisfaction with treatment.
Details