Dataset Information

Patients' care dependency in mental health care: Development of a self-report questionnaire and preliminary correlates.

ABSTRACT:

Objectives

Patients' dependency on the therapist or treatment has received little empirical attention. To examine care dependency, we aimed to develop a theory-driven questionnaire based on three hypothetical dimensions (passive-submissive dependency; active-emotional dependency; and lack of perceived alternatives) and to provide a preliminary exploration of several correlates of care dependency.

Method

Care dependency, perceived social support, therapeutic alliance, remoralization, and symptom severity were measured in a large cross-sectional sample of 742 outpatients with various psychiatric disorders. Test-retest reliability was established in a smaller patient sample.

Results

Findings indicated a reliable questionnaire measuring three unidimensional subscales of care dependency (i.e., submissive dependency, need for contact, and lack of perceived alternatives; ?'s .74, .81, and .86 respectively; r_t1,t2 's .78, .76, and .80, respectively). These subscales were all positively correlated with each other and with patients' self-proclaimed care dependency, but divergent from patients' trait dependency and symptoms of a dependent personality disorder. Moreover, higher levels of care dependency were correlated with lower levels of remoralization and more symptoms severity, and with a better therapeutic alliance.

Conclusions

A reliable and valid questionnaire was developed to measure patients' care dependency. Future studies are needed to determine whether care dependency covers an unwanted side-effect or a crucial ingredient of an effective treatment.

SUBMITTER: Geurtzen N

PROVIDER: S-EPMC6619340 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Publications

Patients' care dependency in mental health care: Development of a self-report questionnaire and preliminary correlates.

Geurtzen Naline N Keijsers Ger P J GPJ Karremans Johan C JC Hutschemaekers Giel J M GJM

Journal of clinical psychology 20180110 7

<h4>Objectives</h4>Patients' dependency on the therapist or treatment has received little empirical attention. To examine care dependency, we aimed to develop a theory-driven questionnaire based on three hypothetical dimensions (passive-submissive dependency; active-emotional dependency; and lack of perceived alternatives) and to provide a preliminary exploration of several correlates of care dependency.<h4>Method</h4>Care dependency, perceived social support, therapeutic alliance, remoralizatio ...[more]

PMID: 29319187

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Project description:BACKGROUND:Successfully implementing eMental health (eMH) interventions in routine mental health care constitutes a major challenge. Reliable instruments to assess implementation progress are essential. The Normalization MeAsure Development (NoMAD) study developed a brief self-report questionnaire that could be helpful in measuring implementation progress. Based on the Normalization Process Theory, this instrument focuses on 4 generative mechanisms involved in implementation processes: coherence, cognitive participation, collective action, and reflexive monitoring. OBJECTIVE:The aim of this study was to translate the NoMAD questionnaire to Dutch and to confirm the factor structure in Dutch mental health care settings. METHODS:Dutch mental health care professionals involved in eMH implementation were invited to complete the translated NoMAD questionnaire. Confirmatory factor analysis (CFA) was conducted to verify interpretability of scale scores for 3 models: (1) the theoretical 4-factor structure, (2) a unidimensional model, and (3) a hierarchical model. Potential improvements were explored, and correlated scale scores with 3 control questions were used to assess convergent validity. RESULTS:A total of 262 professionals from mental health care settings in the Netherlands completed the questionnaire (female: 81.7%; mean age: 45 [SD=11]). The internal consistency of the 20-item questionnaire was acceptable (.62≤alpha≤.85). The theorized 4-factor model fitted the data slightly better in the CFA than the hierarchical model (Comparative Fit Index=0.90, Tucker Lewis Index=0.88, Root Mean Square Error of Approximation=0.10, Standardized Root Mean Square Residual=0.12, χ22=22.5, P≤.05). However, the difference is small and possibly not outweighing the practical relevance of a total score and subscale scores combined in one hierarchical model. One item was identified as weak (λCA.2=0.10). A moderate-to-strong convergent validity with 3 control questions was found for the Collective Participation scale (.47≤r≤.54, P≤.05). CONCLUSIONS:NoMAD's theoretical factor structure was confirmed in Dutch mental health settings to acceptable standards but with room for improvement. The hierarchical model might prove useful in increasing the practical utility of the NoMAD questionnaire by combining a total score with information on the 4 generative mechanisms. Future research should assess the predictive value and responsiveness over time and elucidate the conceptual interpretability of NoMAD in eMH implementation practices.

Project description:BackgroundWorking with eHealth requires health care organizations to make structural changes in the way they work. Organizational structure and process must be adjusted to provide high-quality care. This study is a follow-up study of a systematic literature review on optimally organizing hybrid health care (eHealth and face to face) using the Donabedian Structure-Process-Outcome (SPO) framework to translate the findings into a modus operandi for health care organizations.ObjectiveThis study aimed to develop an SPO-based quality assessment model for organizing hybrid health care using an accompanying self-assessment questionnaire. Health care organizations can use this model and a questionnaire to manage and improve their hybrid health care.MethodsConcept mapping was used to enrich and validate evidence-based knowledge from a literature review using practice-based knowledge from experts. First, brainstorming was conducted. The participants listed all the factors that contributed to the effective organization of hybrid health care and the associated outcomes. Data from the brainstorming phase were combined with data from the literature study, and duplicates were removed. Next, the participants rated the factors on importance and measurability and grouped them into clusters. Finally, using multivariate statistical analysis (multidimensional scaling and hierarchical cluster analysis) and group interpretation, an SPO-based quality management model and an accompanying questionnaire were constructed.ResultsAll participants (n=39) were familiar with eHealth and were health care professionals, managers, researchers, patients, or eHealth suppliers. The brainstorming and literature review resulted in a list of 314 factors. After removing the duplicates, 78 factors remained. Using multivariate statistical analyses and group interpretations, a quality management model and questionnaire incorporating 8 clusters and 33 factors were developed. The 8 clusters included the following: Vision, strategy, and organization; Quality information technology infrastructure and systems; Quality eHealth application; Providing support to health care professionals; Skills, knowledge, and attitude of health care professionals; Attentiveness to the patient; Patient outcomes; and Learning system. The SPO categories were positioned as overarching themes to emphasize the interrelations between the clusters. Finally, a proposal was made to use the self-assessment questionnaire in practice, allowing measurement of the quality of each factor.ConclusionsThe quality of hybrid care is determined by organizational, technological, process, and personal factors. The 33 most important factors were clustered in a quality management model and self-assessment questionnaire called the Hybrid Health Care Quality Assessment. The model visualizes the interrelations between the factors. Using a questionnaire, each factor can be assessed to determine how effectively it is organized and developed over time. Health care organizations can use the Hybrid Health Care Quality Assessment to identify improvement opportunities for solid and sustainable hybrid health care.

Dataset Information

Patients' care dependency in mental health care: Development of a self-report questionnaire and preliminary correlates.

Objectives

Method

Results

Conclusions

Publications

Patients' care dependency in mental health care: Development of a self-report questionnaire and preliminary correlates.

Similar Datasets

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