Background: The needs of patients feeling severely affected by multiple sclerosis (MS) have rarely been investigated. However this is essential information to know before care can be improved, including adding palliative care (PC) services where helpful. Since it remains unclear at what point specialized palliative care should begin for this patient group, this study focuses on needs in general. Objective: The objective was to explore the subjectively unmet needs of patients feeling severely affected by MS. Methods: The study used a qualitative cross-sectional approach for needs assessment. Fifteen patients selfreporting feeling severely affected by MS were recruited and interviewed using a combination of purposive and convenience sampling (five were accompanied by a caregiver relative). Interviews were recorded and transcribed verbatim, followed by qualitative content analysis. Results: Unmet needs were identified in the main categories ''support of family and friends,'' ''health care services,'' ''managing everyday life,'' and ''maintaining biographical continuity.'' Patients expressed the desire for more support from their families and to be viewed as distinct individuals. They see a substantial deficit in the physician-patient relationship and in the coordination of services. A decrease in expressed unmet needs was found for patients more severely affected and less socially integrated. Conclusions: To address the unmet needs of severely affected MS patients, health care services need to be improved and linked with existing PC services. Special attention is required to form supporting professionalpatient relationships. Multiprofessional services should be accessible for patients, while integrating relatives. All services should have an individual approach to provide needs-tailored support.
BackgroundNo data exist on the size of the population potentially in need of palliative care in Germany. The aim of this study is to estimate the size of the German population that may benefit from palliative care.MethodBased on existing population-based methods (Rosenwax and Murtagh), German death registration data were analyzed and contrasted with international results. The data include all death cases in 2013 in Germany.ResultsAccording to the method Rosenwax defined, between 40.7 % (minimal estimate) and 96.1 % (maximal estimate) of death cases could benefit from palliative care. The estimation, based on Murtagh’s refined method, results in 78.0 % of death cases potentially being eligible for palliative care. The percentage of potential palliative care candidates is conditioned by age. Based on the Murtagh Method, in the age category between 30 and 39 years, a potential demand for palliative care can be found for 40.4 % percent of all deaths occurring in this age category, with this number increasing to 80.3 % in the age bracket of 80 years and over.ConclusionAn estimation of the size of the population in need is essential for healthcare planning. Therefore, our data serve as a guide and starting point for further research.
Based on these results, the organizational and therapeutic integration of POS in routine oncology care on the POI ward appears to be a useful tool in offering widely accessible therapies and providing patients with concise, straightforward information via different channels, such as personnel, brochures, and the Internet. Nevertheless, the results should be interpreted tentatively, due to the explorative character of this study.
In this first part of a 3-part discussion paper the working group "Qualitative Methods" in the German Network of Health Services Research (DNVF) identifies the potentials and opportunities qualitative research methods provide for health services research. Many research questions relevant for health services research require the use of qualitative methods. However, the potential of and need for qualitative research in health services research has not yet received sufficient attention from funding bodies. We discuss the applicability and importance of qualitative research for the field of health services research. We then move on to describe the key characteristics of qualitative research that need to be taken into account in health services research. We discuss characteristics such as open-ended (qualitative) data, interpretation of meanings, the search for contradictions, closeness to everyday life, openness towards change or modification of the research question and processes in the context of health services research. To ensure a high-quality approach in qualitative methods for the health services research, sufficient competency in methods and appropriate settings that account for the peculiarities of qualitative methods need to be developed. These include an appropriate time frame and sufficient and qualified personnel to conduct qualitative research. Qualitative research is not a research paradigm in itself rather it comprises of many different and diverging approaches. The goal of this paper is to show the diversity of qualitative research methods, its importance for health services research, and to open up the discussion on strategies for integrating qualitative methods into health services research.
BackgroundQuality improvement within health and social care facilities is needed and has to be evidence-based and patient-centered. Value Stream Mapping, a method of Lean management, aims to increase the patients’ value and quality of care by a visualization and quantification of the care process. The aim of this research is to examine the effectiveness of Value Stream Mapping on structure, process, and outcome quality in care facilities.MethodsA systematic review is conducted. PubMed, EBSCOhost, including Business Source Complete, Academic Search Complete, PSYCInfo, PSYNDX, SocINDEX with Full Text, Web of Knowledge, and EMBASE ScienceDirect are searched in February 2016. All peer-reviewed papers evaluating Value Stream Mapping and published in English or German from January 2000 are included. For data synthesis, all study results are categorized into Donabedian’s model of structure, process, and outcome quality. To assess and interpret the effectiveness of Value Stream Mapping, the frequencies of the results statistically examined are considered.ResultsOf the 903 articles retrieved, 22 studies fulfill the inclusion criteria. Of these, 11 studies are used to answer the research question. Value Stream Mapping has positive effects on the time dimension of process and outcome quality. It seems to reduce non-value-added time (e.g., waiting time) and length of stay. All study designs are before and after studies without control, and methodologically sophisticated studies are missing.ConclusionsFor a final conclusion about Value Stream Mapping’s effectiveness, more research with improved methodology is needed. Despite this lack of evidence, Value Stream Mapping has the potential to improve quality of care on the time dimension. The contextual influence has to be investigated to make conclusions about the relationship between different quality domains when applying Value Stream Mapping. However, for using this review’s conclusion, the limitation of including heterogeneous and potentially biased results has to be considered.Electronic supplementary materialThe online version of this article (doi:10.1186/s13643-017-0563-y) contains supplementary material, which is available to authorized users.
Although drawing conclusions on the use of qualitative methods in German health services research from the analysis of conference abstracts is not possible, the overview we present demonstrates the diversity of methods used for data collection and analysis and showed that a few select methods are extensively used. One of the tasks a memorandum of qualitative health services research should accomplish is to highlight underutilized research methods, which may help to develop the potential of qualitative methodology in German health services research.
Objective: Recent studies from Germany show that a small amount of breast and gynecological cancer patients participate in multidisciplinary tumor conferences (MTCs) at some cancer centers. One reason for the variation by center might be the providers' attitudes about and experiences with MTC patient participation (MTCpp), which has not been analyzed before. Therefore, it is the aim of this study to analyze the providers' expected or experienced feasibility concerning MTCpp at breast and gynecological cancer centers in Germany. Methods: This paper presents cross-sectional qualitative interview data from the PINTU study. From April to December 2018, n=30 health-care providers from n=6 breast and gynecological cancer centers in North-Rhine-Westphalia, Germany, were interviewed. Onehalf of the providers had no experience and the other half had experience with MTCpp. Inductive and deductive coding was performed in order to capture the feasibility aspects of participation. Results: MTCpp seems not to be feasible in routine cancer care following providers' expected barriers and negative experiences. However, MTCpp seems to be feasible for selected cancer patients following providers' expected opportunities and positive experiences. Our results show that both provider groups report positive and negative experiences or expectations. Conclusion: The mixed findings regarding expected or experienced feasibility of MTCpp provide first insights into differences concerning MTCpp between organizations. Our results suggest that the providers' perceptions (expectations and experiences) influence the possibility for patients to participate in an MTC in a cancer center.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.