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Kotaniemi, Jyrki; Hassi, Juhani; Kataja, Matti; Jonsson, E. Niclas; Laitinen, Lauri A.; Sovijärvi, Anssi; Lundbäck, Bo

doi:10.1023/a:1015615130459

Cited by 95 publications

(36 citation statements)

References 19 publications

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“…Results from the present study indicated that long-term participants had less respiratory symptoms compared to all baseline participants in RHINE, ISAYA and I-ECRHS, with the exception of rhinitis. In the literature, we find studies that are both in accordance and in discordance with our results [14,15,22,25,28-30]. These differences between studies show the importance of assessing selection bias in every longitudinal study, rather than simply stating the response rate [26,31].…”

Section: Discussionsupporting

confidence: 58%

“…Several studies have furthermore shown that non-responders tend to be smokers to a larger degree than responders [22,25-28]. At the baseline studies in RHINE and I-ECRHS, we did not have information on smoking habits among responders and non-responders, but a previous report from ISAYA showed that smokers were over-represented among late responders compared to early responders [15].…”

Section: Discussionmentioning

confidence: 93%

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Longterm follow-up in European respiratory health studies – patterns and implications

et al. 2014

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BackgroundSelection bias is a systematic error in epidemiologic studies that may seriously distort true measures of associations between exposure and disease. Observational studies are highly susceptible to selection bias, and researchers should therefore always examine to what extent selection bias may be present in their material and what characterizes the bias in their material. In the present study we examined long-term participation and consequences of loss to follow-up in the studies Respiratory Health in Northern Europe (RHINE), Italian centers of European Community Respiratory Health Survey (I-ECRHS), and the Italian Study on Asthma in Young Adults (ISAYA).MethodsLogistic regression identified predictors for follow-up participation. Baseline prevalence of 9 respiratory symptoms (asthma attack, asthma medication, combined variable with asthma attack and/or asthma medication, wheeze, rhinitis, wheeze with dyspnea, wheeze without cold, waking with chest tightness, waking with dyspnea) and 9 exposure-outcome associations (predictors sex, age and smoking; outcomes wheeze, asthma and rhinitis) were compared between all baseline participants and long-term participants. Bias was measured as ratios of relative frequencies and ratios of odds ratios (ROR).ResultsFollow-up response rates after 10 years were 75% in RHINE, 64% in I-ECRHS and 53% in ISAYA. After 20 years of follow-up, response was 53% in RHINE and 49% in I-ECRHS. Female sex predicted long-term participation (in RHINE OR (95% CI) 1.30(1.22, 1.38); in I-ECRHS 1.29 (1.11, 1.50); and in ISAYA 1.42 (1.25, 1.61)), as did increasing age. Baseline prevalence of respiratory symptoms were lower among long-term participants (relative deviations compared to total baseline population 0-15% (RHINE), 0-48% (I-ECRHS), 3-20% (ISAYA)), except rhinitis which had a slightly higher prevalence. Most exposure-outcome associations did not differ between long-term participants and all baseline participants, except lower OR for rhinitis among ISAYA long-term participating smokers (relative deviation 17% (smokers) and 44% (10–20 pack years)).ConclusionsWe found comparable patterns of long-term participation and loss to follow-up in RHINE, I-ECRHS and ISAYA. Baseline prevalence estimates for long-term participants were slightly lower than for the total baseline population, while exposure-outcome associations were mainly unchanged by loss to follow-up.

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Section: Discussionsupporting

confidence: 58%

Section: Discussionmentioning

confidence: 93%

Longterm follow-up in European respiratory health studies – patterns and implications

et al. 2014

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“…Attempts to study whether and how the decreasing participation rates affect the results have been made in studies on respiratory epidemiology [25,26,41–45], and the results all seem to indicate that non-participants typically are male, smokers, and younger subjects [26,44,45]. It can be reasonably assumed that prevalence estimates may be more affected by increasing non-participation than associations between a risk factor and an outcome [25,26].…”

Section: Discussionmentioning

confidence: 99%

A population-based cohort of adults with asthma: mortality and participation in a long-term follow-up

Bäckman

Hedman

Stridsman

et al. 2017

European Clinical Respiratory Journal

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Background and objective: Asthma is a major public health concern. The aim of this study was to characterize a large population-based cohort of adults with asthma, and to study factors associated with all-cause mortality and non-participation in a long-term follow-up. Design: Random and stratified samples from five population-based cohorts were clinically examined during 1986–2001, and all subjects with asthma were included in the study (n = 2055, age 19–72 years, 55% women). Independent associations between different risk factors and (i) mortality and (ii) non-participation in a clinical follow-up in 2012–2014 were estimated. Results: In 1986–2001, 95% reported any wheeze and/or attacks of shortness of breath in the past 12 months, and/or asthma medication use. Over the up to 28 years of follow-up time, the cumulative mortality was 22.7%. Male gender, current smoking, and lower forced expiratory volume in 1 sec of predicted (FEV1% of predicted) were independent risk factors for mortality, while obesity was associated with non-participation in the follow-up. Older ages, ischemic heart disease, and low socioeconomic status were associated with both mortality and non-participation. Conclusions: The risk factors associated with mortality in this adult population-based asthma cohort were similar to those commonly identified in general population samples, i.e. male gender, current smoking, and lower FEV1% of predicted, while obesity was associated with non-participation in a long-term follow-up. Ischemic heart disease, low socioeconomic status, and older ages were associated with both mortality and non-participation.

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“…Studies have demonstrated that the demographic characteristics and survey results of responders are not equivalent to those of nonresponders. 30 Unfortunately, demographic data were not collected during registration, so we were unable to compare responders and nonresponders. This represents a serious limitation to this study and merits consideration in conducting future group-consensus studies.…”

Section: Discussionmentioning

confidence: 99%

Defining a Research Agenda for Patient-Reported Outcomes in Surgery

et al. 2016

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Background Identifying timely and important research questions using relevant patient-reported outcomes (PROs) in surgery remains paramount in the current medical climate. The inaugural Patient-Reported Outcomes in Surgery Conference brought together stakeholders in PROs research in surgery, with the aim of creating a research agenda to help determine future directions and advance cross-disciplinary collaboration. Study Design An iterative Web-based interface was used to create a modified Delphi survey. Participation was limited to conference registrants, which included surgeons, PROs researchers, payers, and other stakeholders. In the first round, research items were generated from qualitative review of responses to open-ended prompts. In the second round, items were ranked using a 5-point Likert scale; attendees were also asked to submit any new items. In the final round, the top 30 items and newly submitted items were redistributed for final ranking using a 3-point Likert scale. The top 20 items by mean rating were selected for the research agenda. Results In round one, participants submitted 459 items, which were reduced to 53 distinct items within seven themes of PROs research. A research agenda was formulated after two successive rounds of ranking. The research agenda identified three themes important for future PROs research in surgery: (1) PROs in the decision-making process, (2) integrating PROs into the EHR and, (3) measuring quality in surgery with PROs. Conclusions The PROS Conference research agenda was created using a modified Delphi survey of stakeholders that will help researchers, surgeons, and funders identify crucial areas of future PROs research in surgery.

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Cited by 95 publications

References 19 publications

Longterm follow-up in European respiratory health studies – patterns and implications

Longterm follow-up in European respiratory health studies – patterns and implications

A population-based cohort of adults with asthma: mortality and participation in a long-term follow-up

Defining a Research Agenda for Patient-Reported Outcomes in Surgery

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