A quality assessment index framework for public health services: a Delphi study

Zhao, Zhiguang; Cheng, Jinquan; Xu, Shaojian; Hou, WenYu; Richardus, Jan Hendrik

doi:10.1016/j.puhe.2014.10.016

Cited by 36 publications

(18 citation statements)

References 23 publications

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“…The expert authority coefficient (C) was determined by the experts’ judgment basis coefficients (CI, including theory analysis, experience, reference literature, and intuitive sense) and familiar degree coefficients (CS, including very familiar, familiar, understanding, and unclear). The formula for the expert authority coefficient was: 13 C=(CI+CS)/2. In this study, the expert authority coefficients of the first rounds of Delphi was 0.85 (CI for 0.86, CS for 0.84) and second rounds was 0.92 (CI for 0.93, CS for 0.91).…”

Section: Resultsmentioning

confidence: 99%

Identification of risk factors for enteral feeding intolerance screening in critically ill patients

Wang

Chen

et al. 2017

SMJ

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Objectives:To identify risk factors for enteral feeding intolerance screening in critically ill patients, thereby, provide some reference for healthcare staff to assess the risk of feeding intolerance, and lay the foundation for future scale development.Methods:This study used a mixed methodology, including a literature review, semi-structured interviews, the Delphi technique, and the analytic hierarchy process. We used the literature review and semi-structured interviews (n=22) to draft a preliminarily item pool for feeding intolerance, Delphi technique (n=30) to screen and determine the items, and the analytic hierarchy process to calculate the weight of each item. The study was conducted between June 2014 and September 2015 in Daping Hospital, Third Military Medical University, Chongqing, China.Results:Twenty-three risk factors were selected for the scale, including 5 dimensions. We assigned a weight to each item according to their impact on the feeding intolerance, with a higher score indicating a greater impact. The weight of each dimension was decreasing as follows: patient conditions, weight score equals 42; general conditions, weight score equals 23; gastrointestinal functions, weight score equals 15; biochemical indexes, weight score equals 14; and treatment measures, weight score equals 6.Conclusion:Developed list of risk factors based on literature review, survey among health care professionals and expert consensus should provide a basis for future studies assessing the risk of feeding intolerance in critically ill patients.

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Section: Resultsmentioning

confidence: 99%

Identification of risk factors for enteral feeding intolerance screening in critically ill patients

Wang

Chen

et al. 2017

SMJ

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“…With its anonymous consultation, feedback information, statistical inference, and easy utilization (Holbech et al, 2017; Kuster et al, 2015; Gracht, 2012), the Delphi technique is a popular assessment tool in health care research (Zhao et al, 2015; Balaguer et al, 2016 Jones & Hunter, 1995). We conducted a two-round Delphi process between late 2013 and 2014 as follows: during round 1, the experts needed to judge whether the items should be included based on validity and feasibility and were free to make comments.…”

Section: Methodsmentioning

confidence: 99%

An assessment for health education and health promotion in chronic disease demonstration districts: a comparative study from Hunan Province, China

Jin

Yin

et al. 2019

PeerJ

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Background Cost-effective strategies of chronic disease control, integrated health education and health promotion play important roles in the programs of chronic disease demonstration districts in China. The performance of these districts can be directly assessed by their health education and promotion work. However, there have been only a few performance assessments done on these programs, most of which made without the inclusion of proper quality indicators. This study was designed to establish a framework of indicators for outcome evaluation of health education and promotion efforts in Chinese districts, and explore the factors involved in promoting these efforts. Methods A modified two-round Delphi survey was first used to construct quality indicators on a nine-point Likert scale. With those indicators, the rank sum ratio (RSR) method was then conducted through rank conversion and parametric statistics, to assess and classify the performance of ten districts or counties randomly chosen both from demonstration and non-demonstration districts in the Hunan province. Results The Delphi process produced seven themes and 25 sub-themes as quality indicators. The seven themes included organizational management, financial support, professional personnel, health education and promotion, residents’ health awareness and behaviors, residents’ satisfaction, and residents’ health literacy. The districts were classified into four levels by RSR as follows: One demonstration district at the first-ranked level, five other demonstration districts at the second-ranked level, all non-demonstration districts at the third-ranked level. None were at the fourth-qualified level. Discussion Chronic disease demonstration districts performed better on the work of health education and health promotion than the non-demonstration districts. The work should be focused on the following measures of chronic diseases: organizational management, financial support, media-related broadcasting, technical support, community-based promotion and supportive environment, and people’s enhanced awareness and health literacy.

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“…We considered geographical spread and equal representation during the recruitment process and, thus, selected an equal number of participants from each department, and at most 2 participants from an individual state. We selected 60 experts for participation as acceptance rates for Delphi studies have varied considerably from 30% to 100% 9 , 16 …”

Section: Methodsmentioning

confidence: 99%

“…Here, we elaborate on this type of work to facilitate a greater understanding of viral zoonotic disease surveillance tasks in local health departments including the use of bioinformatics resources. We applied the Delphi method to engage target users to determine currents tools and resources used in viral zoonotic disease outbreak surveillance, utility, or limitations 8 , 9 . The results will support future projects to integrate bioinformatics tools and resources into spatial decision support systems that support the needs of public and anima health practitioners.…”

Section: Background and Significancementioning

confidence: 99%

Identifying current and emerging resources and tools utilized for detection, prediction, and visualization of viral zoonotic disease clusters: a Delphi study

Beard

Scotch

2019

JAMIA Open

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Zoonotic disease surveillance presents a substantial problem in the management of public health. Globally, zoonoses have the potential to spread and negatively impact population health economic growth, and security. This research was conducted to investigate the current data sources, analytical methods, and limitations for cluster detection and prediction with particular interest in emerging bioinformatics tools and resources to inform the development of zoonotic surveillance spatial decision support systems. We recruited 10 local health personnel to participate in a Delphi study. Participants agreed cluster detection is a priority, though mathematical modeling methods and bioinformatics resources are not commonly used toward this endeavor. However, participants indicated a desire to utilize preventative measures. We identified many limitations for identifying clusters including software availability, appropriateness, training, and usage of emerging genetic data. Future decision support system development should focus on state health personnel priorities and tasks to better utilize emerging developments and available data.

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A quality assessment index framework for public health services: a Delphi study

Cited by 36 publications

References 23 publications

Identification of risk factors for enteral feeding intolerance screening in critically ill patients

Identification of risk factors for enteral feeding intolerance screening in critically ill patients

An assessment for health education and health promotion in chronic disease demonstration districts: a comparative study from Hunan Province, China

Identifying current and emerging resources and tools utilized for detection, prediction, and visualization of viral zoonotic disease clusters: a Delphi study

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