Dataset Information

The ecometric properties of a measurement instrument for prospective risk analysis in hospital departments.

ABSTRACT:

Background

Safety management systems have been set up in healthcare institutions to reduce the number of adverse events. Safety management systems use a combination of activities, such as identifying and assessing safety risks in the organizational processes through retrospective and prospective risk assessments. A complementary method to already existing prospective risk analysis methods is Tripod, which measures latent risk factors in organizations through staff questionnaires. The purpose of this study is to investigate whether Tripod can be used as a method for prospective risk analysis in hospitals and whether it can assess differences in risk factors between hospital departments.

Methods

Tripod measures risk factors in five organizational domains: (1) Procedures, (2) Training, (3) Communication, (4) Incompatible Goals and (5) Organization. Each domain is covered by 15 items in the questionnaire. A total of thirteen departments from two hospitals participated in this study. All healthcare staff working in the participating departments were approached. The multilevel method ecometrics was used to evaluate the validity and reliability of Tripod. Ecometrics was needed to ensure that the differences between departments were attributable to differences in risk at the departmental level and not to differences between individual perceptions of the healthcare staff.

Results

A total of 626 healthcare staff completed the questionnaire, resulting in a response rate of 61.7%. Reliability coefficients were calculated for the individual level and department level. At the individual level, reliability coefficients ranged from 0.78 to 0.87, at the departmental level they ranged from 0.55 to 0.73. Intraclass correlations at the departmental level ranged from 3.7% to 8.5%, which indicate sufficient clustering of answers within departments. At both levels the domains from the questionnaire were positively interrelated and all significant.

Conclusions

The results of this study show that Tripod can be used as a method for prospective risk analysis in hospitals. Results of the questionnaire provide information about latent risk factors in hospital departments. However, this study also shows that there are indications that the method is not sensitive enough to detect differences between hospital departments. Therefore, it is important to be careful when interpreting differences in potential risks between departments when using Tripod.

SUBMITTER: van Schoten SM

PROVIDER: S-EPMC4233624 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature

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The ecometric properties of a measurement instrument for prospective risk analysis in hospital departments.

van Schoten Steffie M SM Baines Rebecca J RJ Spreeuwenberg Peter P de Bruijne Martine C MC Groenewegen Peter P PP Groeneweg Jop J Wagner Cordula C

BMC health services research 20140303

<h4>Background</h4>Safety management systems have been set up in healthcare institutions to reduce the number of adverse events. Safety management systems use a combination of activities, such as identifying and assessing safety risks in the organizational processes through retrospective and prospective risk assessments. A complementary method to already existing prospective risk analysis methods is Tripod, which measures latent risk factors in organizations through staff questionnaires. The pur ...[more]

PMID: 24589240

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Project description:BackgroundMany in-patients require care from practitioners in various disciplines. Consultations most probably have significant implications for hospitalization outcomes.PurposeTo determine key aspects of consultations provided by various departments to formulate an optimal policy.MethodsThis study comprised two methods: first, a questionnaire was completed in 2019 by 127 physicians interns, residents and senior doctors) from the medical and surgical departments (64 from the surgical wards, 43 from the medical wards and 22 from the emergency room and General ICU) regarding the availability, timeliness and documentation rate of the consultations they received from different disciplines. The investigators rounded through the various departments that were included in the study and they accosted a sample of interns, residents and attending physicians, who were then asked to fill the questionnaire. Overall compliance of filling the questionnaire was 95%. Residents accounted for 72% of the filled questionnaires, seniors and interns accounted for 15 and 13% respectively. Second, a convenience sample of 300 electronic records of hospitalized patients (135 from the surgical wards, 129 from the Medical wards and 36 from the emergency room and General ICU) of actually carried out consultations was reviewed for validated indicators of quality for both the consultation request and response. We used a 5-point Likert scale, ranging from poor (1) to superb (5), to grade the measured parameters.ResultsThe availability, timeliness and documentation rate for medical consultations were 4 ± 0.9, 4.1 ± 0.9 and 4.3 ± 0.9 respectively, as compared with surgical consultations 3.2 ± 1.1, 3.4 ± 1.2 and 3.6 ± 1.2 respectively (P < 0.001). The mean time (in hours) from the consultation request till documentation (of the requested consultation) by consultants in the medical and surgical departments was 3.9 ± 5.9 and 10.0 ± 15.6, respectively (P < 0.001). The quality of requests of consultations from the medical and surgical departments was 3.4 ± 1.1 and 2.8 ± 1.2, respectively (P < 0.001). Two different models of consultations are employed: while each medical department adopts several departments for medical consultations, each day's on-call surgeon provides all the hospital's surgical consultations.ConclusionWe detected significant differences in key aspects of consultations provided by the departments. The medical model of consultations, in which each medical department adopts several other wards to which it provides consulting services upon request, should probably be adopted as a major policy decision by hospitals directors to enhance inter-departmental consultations.

Project description:BackgroundPatients experience an increasing treatment burden related to everything they do to take care of their health: visits to the doctor, medical tests, treatment management and lifestyle changes. This treatment burden could affect treatment adherence, quality of life and outcomes. We aimed to develop and validate an instrument for measuring treatment burden for patients with multiple chronic conditions.MethodsItems were derived from a literature review and qualitative semistructured interviews with patients. The instrument was then validated in a sample of patients with chronic conditions recruited in hospitals and general practitioner clinics in France. Factor analysis was used to examine the questionnaire structure. Construct validity was studied by the relationships between the instrument's global score, the Treatment Satisfaction Questionnaire for Medication (TSQM) scores and the complexity of treatment as assessed by patients and physicians. Agreement between patients and physicians was appraised. Reliability was determined by a test-retest method.ResultsA sample of 502 patients completed the Treatment Burden Questionnaire (TBQ), which consisted of 7 items (2 of which had 4 subitems) defined after 22 interviews with patients. The questionnaire showed a unidimensional structure. The Cronbach's α was 0.89. The instrument's global score was negatively correlated with TSQM scores (rs = -0.41 to -0.53) and positively correlated with the complexity of treatment (rs = 0.16 to 0.40). Agreement between patients and physicians (n = 396) was weak (intraclass correlation coefficient 0.38 (95% confidence interval 0.29 to 0.47)). Reliability of the retest (n = 211 patients) was 0.76 (0.67 to 0.83).ConclusionsThis study provides the first valid and reliable instrument assessing the treatment burden for patients across any disease or treatment context. This instrument could help in the development of treatment strategies that are both efficient and acceptable for patients.

Dataset Information

The ecometric properties of a measurement instrument for prospective risk analysis in hospital departments.

Background

Methods

Results

Conclusions

Publications

The ecometric properties of a measurement instrument for prospective risk analysis in hospital departments.

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