Dataset Information

Factors influencing healthcare provider respondent fatigue answering a globally administered in-app survey.

ABSTRACT:

Background

Respondent fatigue, also known as survey fatigue, is a common problem in the collection of survey data. Factors that are known to influence respondent fatigue include survey length, survey topic, question complexity, and open-ended question type. There is a great deal of interest in understanding the drivers of physician survey responsiveness due to the value of information received from these practitioners. With the recent explosion of mobile smartphone technology, it has been possible to obtain survey data from users of mobile applications (apps) on a question-by-question basis. The author obtained basic demographic survey data as well as survey data related to an anesthesiology-specific drug called sugammadex and leveraged nonresponse rates to examine factors that influenced respondent fatigue.

Methods

Primary data were collected between December 2015 and February 2017. Surveys and in-app analytics were collected from global users of a mobile anesthesia calculator app. Key independent variables were user country, healthcare provider role, rating of importance of the app to personal practice, length of time in practice, and frequency of app use. Key dependent variable was the metric of respondent fatigue.

Results

Provider role and World Bank country income level were predictive of the rate of respondent fatigue for this in-app survey. Importance of the app to the provider and length of time in practice were moderately associated with fatigue. Frequency of app use was not associated. This study focused on a survey with a topic closely related to the subject area of the app. Respondent fatigue rates will likely change dramatically if the topic does not align closely.

Discussion

Although apps may serve as powerful platforms for data collection, responses rates to in-app surveys may differ on the basis of important respondent characteristics. Studies should be carefully designed to mitigate fatigue as well as powered with the understanding of the respondent characteristics that may have higher rates of respondent fatigue.

SUBMITTER: O'Reilly-Shah VN

PROVIDER: S-EPMC5600176 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors influencing healthcare provider respondent fatigue answering a globally administered in-app survey.

O'Reilly-Shah Vikas N VN

PeerJ 20170912

<h4>Background</h4>Respondent fatigue, also known as survey fatigue, is a common problem in the collection of survey data. Factors that are known to influence respondent fatigue include survey length, survey topic, question complexity, and open-ended question type. There is a great deal of interest in understanding the drivers of physician survey responsiveness due to the value of information received from these practitioners. With the recent explosion of mobile smartphone technology, it has bee ...[more]

PMID: 28924502

Similar Datasets

Project description:BackgroundIn 2016 the UK Department of Health and Social Care published the results of a comprehensive review of efficiency in hospitals, identifying "unwarranted variation" in procurement (or purchasing) practices for materials, supplies and devices. Addressing this variation in materials and supplies procurement practice has been identified as particularly important for creating efficiencies in health service delivery. However, little is known about the behaviour and experiences of front-line individuals who make these procurement decisions, which has implications for the development of strategies to improve efficiency. The objective of this study is to improve understanding of the factors influencing procurement behaviour and decisions among requisitioners who use an internal electronic procurement portal for medical supplies and equipment, and identify areas where efficiency could be improved.MethodsQualitative semi-structured individual interview study, following approximately 70 h of exploratory observations on site. The study context was a large London National Health Service (NHS) healthcare provider (the Trust), where we focussed primarily on purchases managed by a large hospital. Participants were drawn from requisitioners from multiple directorates across the Trust (n = 15; of these n = 2 clinical staff members, n = 13 non-clinical).ResultsFour factors stood out in our analysis as directly affecting procurement decisions: (1) a high level of variation in electronic purchasing and inventory management procedures throughout the Trust, (ii) an inaccurate and cumbersome search facility on the internal electronic procurement platform, exacerbated by poor IT skills training and support (iii) an inefficient purchase approvals system and (iv) multiple working sites and cluttered environments. We observed that these factors led requisitioners to employ a variety of strategies or so-called 'workarounds' to overcome the challenges they encountered, including stockpiling, relying on internal and supplier relationships, by-passing procedures to save time, purchasing outside existing agreements to save cost, and (re) delegating purchasing responsibilities among requisitioner staff - which both addressed and created difficulties.ConclusionsWorking with the assumption that staff 'workarounds' indicate where main issues lie, we offer four possible explanations to why they occur: (a) to maintain services and prepare for future care requirements, (b) to save on costs for the organisation, (c) to develop skills and development in purchasing and (d) to break silos and work collaboratively. These four explanations help provide initial starting points for improving efficiencies in health supplies' procurement processes.

Project description:Survey researchers hope that respondents will provide high-quality data, but evidence suggests that social desirability bias may be commonplace. Social desirability can lead to significant underreporting or overreporting of sensitive behaviors. With better understanding of the cognitive processes that respondents use to prepare and deliver their responses, survey designers could hope to minimize social desirability bias or at least detect settings that lessen its impact. The primary objective of this study was to use survey paradata to understand the psychology of responding to certain types of survey questions. More specifically, we sought to determine how emotional triggering can alter response latencies to cognitively demanding and sensitive survey questions on induced abortion, which is underreported. We hypothesize that having had a prior abortion might lengthen response times to an indirect question about abortion among respondents who have experienced this sensitive reproductive outcome as they hesitate in deciding whether and how to respond to the question. Data come from a representative survey of 6,035 reproductive age women in Rajasthan, India. We used list experiment question active screen time paradata in conjunction with responses from direct questions on abortion to assess our hypothesis. Our final model was a multivariate linear regression with random effects at the level of the interviewer, including adjustments for respondent, community, and interviewer characteristics to estimate within-respondent effects. Results suggest that women who reported an abortion on the direct abortion questions took 5.11 (95% CI 0.21, 10.00) seconds longer to respond to the list experiment treatment list compared to the control list in comparison to women who did not report an abortion on the direct abortion questions. This study demonstrates the additional insights gained when focusing on response latencies to cognitively demanding questions involved in the measurement of sensitive behaviors.

Project description:BackgroundIn 2017, the Chinese government launched a pilot project in hospice care (HC), in which Shanghai was a pioneer. Healthcare provider knowledge, attitudes, and practices in hospice care (KAPHC) may facilitate or hinder HC development. To determine how to design targeted training for healthcare providers and policies to improve their KAPHC, we conducted an original study based on an indigenized KAPHC scale to (a) comprehensively measure the KAPHC baseline of healthcare providers in Shanghai and (b) explore its influencing factors.MethodsA cross-sectional study was designed to evaluate healthcare providers' KAPHC with the indigenized KAPHC scale. Descriptive analysis, linear regression, and Pearson's (r) correlation analysis were performed to uncover providers' KAPHC, its influencing factors, and their correlations.ResultsThe KAPHC scale proved applicable to the knowledge, attitudes, and practices of the large sample of providers we surveyed. The 7027 KAPHC scaling results revealed that 42.44% of participants had HC experience and 57.49% were willing to provide HC. The mean accuracy of the responses related to knowledge was 59.30%. Scoring rates for attitudes, confidence, and self-reported practices were 74.20%, 73.96%, and 75.55%, respectively. The linear regression revealed that higher KAPHC scores were associated with experience and willingness and varied with professional specializations. The Pearson's (r) correlation evidenced that HC practices were strongly correlated with confidence (r = 0.648, P<.001) and moderately correlated with attitudes (r = 0.463, P<.001).ConclusionWe uncovered that targeted training for enhancing healthcare provider KAPHC in Shanghai should focus on psychological and spiritual care, the management of pain and other symptoms, and traditional Chinese medicine (TCM). Additionally, training should be scaled up for providers with different characteristics. Meanwhile, policy should encourage providers to work enthusiastically in HC-universal high-quality HC requires well-trained, supported, and motivated providers.

Project description:ObjectivesValue-based healthcare (VBHC) is a health system reform gradually being implemented in health systems worldwide. A previous national-level survey has shown that Latin American countries were in the early stages of alignment with VBHC. Data at the healthcare provider organisations (HPOs) level are lacking. This study aim was to investigate how HPOs in five Latin American countries are implementing VBHC.DesignMixed-methods research was conducted using online questionnaire, semistructured interviews based on selected elements of the value agenda (from December 2018 to June 2020), analyses of aggregated data and documents. Qualitative analysis was performed using NVivo QSR International, 1.6.1 (4830). Quantitative analysis used Fisher's exact test. Univariate analysis was used to compare organisations in relation to the implementation of VBHC initiatives. A p≤0.05 was considered significant.ParticipantsTop and middle-level executives from 70 HPOs from Argentina, Brazil, Chile, Colombia and Mexico.ResultsThe definition of VBHC varied across participating organisations. Although the value equation had been cited by 24% of participants, its composition differed in most case from the original Equation. Most VBHC initiatives were related to care delivery organisation (56.9%) and outcomes measurement (22.4%) but in most cases, integrated practice unit features had not been fully developed and outcome data was not used to guide improvement. Information, stakeholders buy-in, compensation and fragmented care delivery were the most cited challenges to VBHC implementation. Fee-for-service predominated, although one-third of organisations were experimenting with alternative payment models.ConclusionsA wide variation in the definition and level of VBHC implementation existed across organisations. Our finding suggests investments in information systems and on education of key stakeholders will be key to foster VBHC implementation in the region. Further research is needed to identify successful implementation cases that may serve as regional benchmark for other Latin American organisations advancing with VBHC.

Project description:BackgroundMost older adults prefer to continue living at home despite increasing care needs and demand for services. To aid in maintaining independence, integrated care models for community-dwelling older people are promoted as the most cost-effective approach. The implementation of such care models is challenging and often the end-users are not involved or their needs are not considered. We conducted a population survey in order to understand the needs and preferences of home-dwelling older adults living in Canton Basel-Landschaft, Switzerland. The aims of this paper are to chronicle the development of the INSPIRE Population Survey, outline its variables and measurements, describe the marketing strategy utilized for survey dissemination and report on the response rate and respondent characteristics.MethodsThe INSPIRE Population Survey, conducted between March and August 2019, is a cross-sectional survey of older adults aged 75 and older living at home in Canton Basel-Landschaft. The questionnaire was developed by expert input and stakeholder involvement. Its readability and acceptability were pilot-tested with older people. To ensure the likelihood of a high and representative response rate, a meticulous step-by-step marketing strategy was developed prior to the dissemination of the questionnaire.ResultsThe overall response rate was 30.7% (n = 8,846), with variations between 20.6 and 34.5% across the different care regions in the canton. A generally higher response rate was found in the care regions with a higher density and which bordered the urban city of Basel. We received support from local stakeholders, policy makers and media through using a broad combination of marketing channels and targeting our community partners who have a strong relationship with our target audience.ConclusionsAlthough recruiting older adults in research is challenging, our study shows that a high response rate can be achieved by developing the survey through expert input and by involving all important stakeholders, including older adults, throughout the entire process.

Project description:BackgroundSystemic mastocytosis (SM) is a rare clonal neoplasm driven by the KIT D816V mutation and has a broad range of debilitating symptoms. In this study, the authors evaluated SM disease perceptions and management strategies among US health care providers (HCPs).MethodsHematologist/oncologist (H/O) HCPs and allergist/immunologist (A/I) HCPs who were treating four or more patients with SM completed an online, 51-item TouchStone HCP Survey, which queried provider characteristics, perceptions of disease burden, and current management. Descriptive analyses by specialty and SM subtype were performed.ResultsOf 304 HCPs contacted, 111 (37%) met eligibility criteria, including 51% A/I specialists and 49% H/O specialists. On average, the HCPs had 14 years of practice experience and cared for 20 patients with SM. A/I HCPs saw more patients with nonadvanced SM (78%) compared with H/O HCPs, who saw similar proportions of patients with nonadvanced SM (54%) and advanced SM (46%). HCPs reported testing 75% of patients for the KIT D816V mutation and found an estimated prevalence of 47%. On average, HCPs estimated 8 months between symptom onset and SM diagnosis. HCPs reported that 62% of patients with indolent SM felt depressed or discouraged because of symptoms. In terms of treatment goals for SM, both types of specialists prioritized symptom improvement for nonadvanced SM and improved survival for advanced SM while also prioritizing improving patient quality of life.ConclusionsBoth A/I and H/O specialists highlighted unmet needs for patients with SM. The HCPs surveyed reported a lower rate of KIT D816V mutations and a perceived shorter time between symptom onset and SM diagnosis compared with published estimates.Lay summarySpecialists treating systemic mastocytosis (SM) completed a 51-item questionnaire about their clinical practices and perceptions of disease impact. The study included 111 hematology, oncology, allergy, and immunology physicians. Physicians reported that most patients had nonadvanced disease, yet SM symptoms significantly disrupted their patients' lives. Physicians estimated that SM is diagnosed within months of symptom onset, in contrast with published reports of years' long delays reported by patients with SM. This study identified unmet needs that can inform educational and patient management priorities in this rare disease.

Dataset Information

Factors influencing healthcare provider respondent fatigue answering a globally administered in-app survey.

Background

Methods

Results

Discussion

Publications

Factors influencing healthcare provider respondent fatigue answering a globally administered in-app survey.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets