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Hospice Care

Hospice Care: Specialized palliative care for the terminally ill, focused on providing reiief from symptoms, pain, and emotional distress.
Hospice Care aims to optimize quality of life and provide support for patients and their families during the final stages of illness.
This comprehensive approach combines medical, nursing, psychological, social, and spiritual care to address the unique needs of each individual.
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Most cited protocols related to «Hospice Care»

This study compared the ADAMS [7 (link),8 (link)] dementia diagnosis with Medicare claims records to assess the sensitivity and specificity of Medicare claims to identify true disease as well as to identify the agreement between these two sources of diagnostic information. December 31, 2003 was the date of comparison for Medicare claims records and ADAMS dementia assessment. Persons were classified as having dementia or not based on Medicare claims as of that date, and were also assessed as having dementia or not as of that date. Further, we compared the age of dementia onset, as estimated in ADAMS, to the age of a subject when they first had a Medicare claim that noted dementia. In such cases, persons were categorized as having their initial Medicare claim denoting dementia more than one year prior to dementia onset as estimated in ADAMS; occurring within a year of ADAMS onset; occurring more than one year after ADAMS onset.
Medicare claims records are generated when beneficiaries receive care financed through the program. Such records note not only payment information, but also the date that care was received, diagnosis code information (ICD-9-CM codes) for one primary diagnosis, and several secondary diagnoses. Some files (inpatient hospital claims), have up to 9 secondary diagnosis codes in addition to the primary diagnosis, while others (part B physician supplier claims), have only 3. This study uses the ICD-9-CM codes used in past work to identify dementia in Medicare claims (Appendix 1) [19 (link)]. We also conducted sensitivity analyses by adding several additional ICD-9-CM codes suggested by colleagues associated with the ADAMS dementia assessment, but the differences were trivial (e.g., 4 additional cases of dementia identified in claims) so results are shown using the ICD-9-CM codes that were used in past work to increase comparability [20 (link)]. All available Medicare claims records were used to complete the study; inpatient, outpatient; part B physician supplier file; home health; Skilled Nursing Facility (SNF); hospice; and durable medical equipment. Persons having a claim with at least one of the codes (in any position, primary or secondary) listed in the appendix were classified as having dementia. Separate analyses were run for dementia of the AD type, which was defined in Medicare claims by the presence of ICD-9-CM code 331.0.
Cost to the Medicare program was defined as the amount that Medicare actually paid for an episode of care and using all files as noted above, following past work in this area [9 (link),11 (link),12 (link)].
Publication 2009
Diagnosis Durable Medical Equipment Episode of Care Hospice Care Hypersensitivity Inpatient Outpatients Physicians Presenile Dementia
The oldest old are in a stage of life in which changes in functioning can occur more rapidly and more catastrophically than earlier in life. For example, cognitive decline markedly accelerates during the last years of life [10 (link)]. Therefore, it is important to accurately monitor trajectories of functioning and changes in functioning in this age group. At the same time, there have been recent changes in policy in the Netherlands that may particularly affect the oldest old. As of 2015, the Social Support Act (WMO) directs municipalities to provide support for people with functional limitations, including instrumental support at home, home care and social care, which was previously regulated by the national government. This may lead to variations in care provision between different municipalities. In addition, the Long-term Care Act for residential care (WLZ), and the Care Insurance Act for personal and nursing home care at home (ZVW) were implemented. In these acts, thresholds for access to care were raised, making it more difficult to be eligible for residential care, which can lead to an increased reliance on informal care and privately paid care. The absolute increase in the number of oldest old in the community, the rapid changes in functioning among the oldest old and the recent policy changes were the main reasons for conducting an ancillary study among the oldest LASA respondents with increased density of measurements.
Three additional nine-monthly measurements were performed between the regular LASA measurements in 2015–2016 (wave I) and 2018–2019 (wave J). Thus, together with these regular measurement waves, data from five consecutive nine-monthly measurements will become available for studying changes and trajectories of the four domains of functioning. All persons aged 75 years and over (born before 1941) were invited to participate in this ancillary study (n = 686). In total, 601 persons agreed to participate (87.6%). At the first additional measurement (wave I—v1), 442 (73.5%) participated in a face-to-face home interview and 159 (26.5%) participated in a telephone interview (61 with respondent and 98 with proxy). The topics included in the interview, as well as the response rates for each additional nine-monthly measurement, are presented in Table 4. Respondents who had a face-to-face interview were asked to fill out a one-week calendar to study changes in pain, use of pain medication, mood, sleep, social contacts and appetite on a daily basis. Respondents were asked to return the calendar by postal mail.

Ancillary study: additional nine-monthly measurements among the oldest old (born before 1941)

ResponseWave I—v1Wave I—v2Wave I—v3
Date range interviewsJuly 2016–July 2017April 2017–April 2018January 2018–January 2019
Invited, n686601550
Participated, n (%)601 (87.6)550 (91.5)507 (92.2)
Age, mean (SD)83.0 (5.4)83.4 (5.2)83.8 (4.9)
Data available
 Face-to-face interview, n442410364
 Calendar data, na387368325
 Telephone interview Respondent, n615559
 Telephone interview Proxy, n988584
Measures
Face-to-face interviewDemographic data, gait speed, grip strength, chronic diseases, self-rated health, functional limitations, homecare/informal care, care needs, healthcare use, depressive symptoms (CES-D, short version), falls and fractures, memory complaints, cognitive functioning (MMSE, coding task), loneliness (De Jong Gierveld loneliness scale, short version), weight measurement, self-reported weight change, physical activity, pain, end of life care and preferences, and partner health
Calendar dataOne-week calendar, with questions on pain (1–10; severe pain-no pain), use of pain medication (yes/no), mood (1–10; very bad-very good), sleep (1–10; very bad-very good), social contact (number of people), and appetite (1–5; very bad-very good) on a daily basis
Telephone interviewDemographic data, chronic diseases, self-rated health, functional limitations, homecare/informal care, care needs, healthcare use, depressive symptoms (CES-D, short version), falls and fractures, memory complaints, cognitive functioning (MMSE, short version), loneliness (De Jong Gierveld loneliness scale, short version), self-reported weight change, physical activity, pain, end of life care and preferences, and partner health

aCalendar data is only available for those participating in the face-to-face interview

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Publication 2019
Age Groups Childbirth Depressive Symptoms Disease, Chronic Disorders, Cognitive Face Fracture, Bone Hospice Care Informal care lipid-associated sialic acid Long-Term Care Memory Mini Mental State Examination Mood Pain Pharmaceutical Preparations Reliance resin cement SERPINA3 protein, human Sleep

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Publication 2011
Brain Death Cardiac Arrest Comatose Consciousness Disabled Persons Hospice Care Patient Discharge Patients Persistent Vegetative State Therapeutics

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Publication 2013
A-factor (Streptomyces) Acquired Immunodeficiency Syndrome Chronic Condition Durable Medical Equipment Elective Surgical Procedures factor A Hospice Care Knee Replacement Arthroplasty Oxygen Patients Physical Examination Physicians Range of Motion, Articular Walkers Wheelchair
This study was a longitudinal analysis of a representative sample of nursing home residents in one US state. MDS assessments for residents with a length of stay of greater than 90 days in the year 2002 were collected from a US National Resident Assessment Instrument database (n = 66,742) and follow-up data were extracted at three and six months [21 ]. We chose three month intervals between assessments to enable more precise examination of the rate and direction of change than is available in many longitudinal studies with assessment intervals of a year or more [22 (link),23 ]. Residents with an expectation of being discharged prior to 90 days were excluded (n = 1998).
In order to minimise the effect of factors, other than cognitive impairment, in relation to change in ADL, residents were excluded if they had specific co-morbid diseases or conditions, or received specific treatments. These included history of learning disability, decreased auditory and visual acuity, problems with expressive speech, hypotension, seizure disorder, traumatic brain injury, manic depression, schizophrenia, HIV infection, septicaemia, weight fluctuation, inability to lay flat due to shortness of breath, dehydration, insufficient fluid consumption, internal bleeding, recurrent lung aspiration, end stage of disease, feeding by parenteral/IV or feeding tube, treatment including chemotherapy, radiation, tracheotomy care, transfusion, ventilator, for alcohol/drug problems, hospice care and respite care. Residents with concurrent or pre-existing limitations to mobility such as hip fracture, missing limb, bone fracture, cerebral palsy, stroke, hemiplegia/paresis, multiple sclerosis, paraplegia, Parkinson disease, or quadriplegia were also excluded. After applying these exclusions, the total number of residents available for study was 21,670. The most common reasons for exclusion were stroke (23%), presence of a learning disability (19%), impaired vision (10%) and hip fracture (5%). Nearly 40% of the sample had two or more of these exclusion criteria.
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Publication 2006
Alcohol Problem Aspiration Pneumonia Auditory Perception Bipolar Disorder Blood Transfusion Cerebral Palsy Cerebrovascular Accident Dehydration Disorders, Cognitive Dyspnea Epilepsy Fracture, Bone Hemiplegia Hip Fractures HIV Infections Hospice Care Learning Disabilities Mobility Limitation Multiple Sclerosis Paraplegia Paresis Parkinson Disease Pharmaceutical Preparations Pharmacotherapy Quadriplegia Radiotherapy Respite Care Schizophrenia Septicemia Speech Tracheotomy Traumatic Brain Injury Tube Feeding Visual Acuity

Most recents protocols related to «Hospice Care»

This paper draws on interview-based research conducted from May to June 2022, as part of a broader project investigating how information about medicines moves between patients, pharmacists, and general practitioners. To explore how GP’s approached prescribing decisions and understood their relationships with patients and pharmacists around medicines, we elected to use an interview methodology. Interview methodologies are well-suited to research that investigates people’s thoughts and experiences, and the semi-structured format accommodates emergent findings that might not be anticipated in the original research design. The project received ethics approval from the Victoria University of Wellington Human Ethics Committee (#28324).
Given our aim to solicit general practitioners’ views specifically, we followed a purposive sampling strategy and recruited from a national pool, so as to gain cross-sectional insights from different geographic, socioeconomic, and institutional settings. Using the Medidata database of general practitioners, we issued an invitation for interview participants that reached 1,331 recipients. Of these, 25 people registered their interest via the supplied link, and 16 followed through to an interview. Our only selection criterion was that participants must be currently practicing general practitioners, as all 25 initial respondents were. Recruitment stopped when participants stopped opting in to the study.
While most of our resulting sample worked full-time in general practice, some of our interviewees worked part-time, as locums, or combined their general practice work with, e.g., working for hospice. Of our sixteen participants, 10 were female and six male. Eight were based in one of New Zealand’s three major cities, six in a smaller city or large town, and two rurally. Thus, while our sample is not representative, it does encompass a range of professional and regional experiences and clear themes were evident across the data set.
Interview guides were developed from the overall project’s aims, and included questions about participants’ professional backgrounds and contexts, prescribing practices and views on medicines, relationships to pharmacists, and perspectives on the New Zealand health system. In keeping with the semi-structured interview process, we allowed these guides to steer our conversations without dictating or unnecessarily limiting their course. The interview procedure was not adjusted in light of emergent findings, so as to ensure maximum comparability across the data set. However, the interview guide was adapted in some cases to suit individual participants’ time availability.
The authors conducted all interviews via Zoom, between May 1 and June 30 2022. Interviews lasted from 24 to 68 min, with a mean duration of 46 min 30 s. Typically, shorter interviews were those conducted during participants’ lunch breaks, and longer ones were conducted on participants’ days off or in the evenings. All interviews were audio recorded using the computer’s inbuilt recording software, then professionally transcribed verbatim. The original audio files and resulting transcripts were allocated pseudonymised alphanumeric file names (linked to identifying information in one securely stored spreadsheet) and stored in the University’s secure cloud storage system.
Although Denise Taylor training as a pharmacist could potentially be expected to influence how interviewees spoke about the pharmacists they interacted with, we did not note any discernible differences in the results collected by each interviewer, and neither had any existing relationship with any participants. It is possible that conducting interviews via Zoom also mitigated the extent to which the researchers’ positionality shaped interviews. We were known to participants’ primarily by our qualifications, professional roles, and association with a respected funder, with few cues as to our respective physical presentations beyond the shoulders-up Zoom window.
Our data analysis was conducted by (Courtney Addison) June through October 2023, and checked and discussed with Denise Taylor. Our analytic process was grounded in the constructivist tradition of Corbin and Strauss [34 ], which acknowledges the role of the analyst in meaning-making, and followed a Reflexive Thematic Analysis process [35 (link)]. This began with familiarisation with the data set (all interview transcripts), followed by iterative, open coding of the corpus. Codes were then reviewed and grouped into themes, which were themselves reviewed against the transcripts. The review process enabled refinements to the theme, so that, for example, the theme ‘Doctor/pharmacist interactions’ became ‘Sharing information about patients’, ‘Seeking medicines information’, ‘Correcting mistakes’. To check the validity of findings, the authors discussed transcripts and codes from their distinct disciplinary perspectives (Anthropology and Pharmacy, respectively) and also compared findings against the data set from the other arm of this project, which consists of interviews and observations from a community pharmacy. This confirmed, for example, that doctors were using pharmacists in the ways they described in the interviews reported on here, and that pharmacists were indeed picking up mistakes as interviewees report.
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Publication 2023
Ethics Committees General Practitioners Homo sapiens Hospice Care Interviewers Light Males Patients Pharmaceutical Preparations Physical Examination Physicians Shoulder Thinking Woman
This study utilised a qualitative, exploratory design [30 ] to examine healthcare professionals’ perspectives on the impact/s of natural disasters on end-of-life care. Participants were recruited through social media, Facebook, and Linkedin, emails to end-of-life care services listed on the Palliative Care Australia website, and through snowball sampling. For inclusion in the study, participants needed to be aged 18 years and over and have had recent experience in the provision of end-of-life care during a natural disaster, COVID-19, bushfire, or flood. In-depth semi-structured interviews were undertaken by MK, an experienced qualitative researcher and counsellor, between February 2021 and June 2021. Sampling ceased when no new information was being generated in the interviews with regards to the themes identified here. Interviews ranged from 51 to 94 min, averaged 69 min, and were conducted in person (n = 2), online via Zoom (n = 5), or by telephone (n = 3) according to participants’ preference and capacity within the COVID-19 pandemic. Participants read and signed an informed consent form prior to the interview and received an AU$20 online gift card in recognition of their time.
The interview schedule was prepared during a series of discussions between the project team consisting of doctors, psychologists, and end-of-life care researchers. The questions were pilot tested, and the interview guide was refined to include emerging themes. Refer to Supplementary file 1 for the interview guide. No concerns arose during the pilot interview, so it was included in the final analysis. Open ended interview questions included ‘Tell me about your experience with a recent disaster’, and ‘Tell me how the disaster impacts on your role, your clients and the services you provide’. Follow-up questions were used as prompts during the interviews to explore the experiences of end-of-life service providers. The study was approved by the Australian National University Human Research Ethics Committee (2020/378). The reporting of this study is in accordance with the Standards for Reporting Qualitative Research (SRQR) checklist [31 ].
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Publication 2023
Counselors COVID 19 Disasters Ethics Committees, Research Floods Health Personnel Homo sapiens Hospice Care Life Experiences Natural Disasters Palliative Care Physicians
We defined “routine assessments” as regular daily or weekly evaluations during the course of inpatient or outpatient palliative care. Conversely, we defined “screening” as a single assessment, such as a distress screening at hospital admission or the patient’s first palliative care visit.
The PCT is a multidisciplinary team consisting of physicians, nurses, pharmacists, and other professionals such as psychologists and social workers that work across different hospital department [18 (link)]. The palliative care outpatient clinic provides to outpatients by physicians and nurses with expertise in palliative care. The PCU is a specialized ward for cancer and AIDS patients with the aim of providing them with a comfortable end of life. The home hospice provides in-home palliative care by home physicians and nurses.
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Publication 2023
Acquired Immunodeficiency Syndrome Care, Ambulatory Hospice Care Inpatient Malignant Neoplasms Nurses Outpatients Palliative Care Patients Physicians
Specialized palliative care service institutions (SPC) providing specialized palliative care in Japan were included in the present evaluation. In Japan, SPCs include PCTs, PCUs, home hospices, and palliative care outpatient clinics. All designated cancer hospitals have a PCT and a palliative care outpatient clinic. Moreover, screening for palliative care is mandatory for all cancer inpatient and outpatient settings of designated cancer hospitals since 2015 [14 (link)].
PCUs are required to admit patients with malignant tumors in need of pain management. Although there is no clear definition/regulatory designation for home hospice, in this study, home hospice was defined as an enhanced function home support clinic with a track record of emergency house calls and end-of-life care. Eligible institutions were identified from an open access list of palliative care service by the Ministry of Health, Labour and Welfare. In the implementation of this survey, administrators at designated cancer hospitals asked physicians or nurses on the PCT to respond to the survey. The questionnaire was mailed to 427 designated cancer hospitals, 423 PCUs, and 197 home hospices.
Of the institutions that responded to the study questionnaire, 13 designated cancer hospitals, nine PCUs, and two home hospices responded that they were willing to cooperate in the interview on the questionnaire were interviewed (i.e., a representative healthcare provider was interviewed) after reconfirming their willingness to cooperate in the study.
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Publication 2023
Administrators Emergencies Health Personnel Hospice Care Inpatient Malignant Neoplasms Management, Pain Nurses Outpatients Palliative Care Patients Physicians Visit, Home
We used individual observations of vital signs conducted at OUH for adult inpatients (≥ 18y) between 01-January-2016 and 30-June-2019. The vital signs observed, with dates and times of collection, included respiratory rate (RR), heart rate (HR), tympanic temperature, systolic and diastolic BP (SBP and DBP) and oxygen saturations. Vital signs were included for all general wards, but those from intensive care units, operating theatre recovery areas, day case units, and OUH’s hospice were not included as these were collected using a separate system or in locations with a different care delivery focus.
Observations were collected by healthcare assistants and registered nurses using a semi-automated vital sign observation system across all 4 hospital sites. HR, SBP, DBP, and oxygen saturations were collected using an observation machine combining an electronic sphygmomanometer and pulse oximeter. RR was manually timed, typically expected to be recorded by counting the number of breaths over 60 s. Temperature was measured with a separate tympanic thermometer. All observations were then manually transcribed into a tablet computer attached to the same stand, this was usually done at the bedside as the tablet computer allowed the patient’s wristband to be scanned to add results to their record. The tablet computer automatically uploaded results into the EHR in real time. Although the tablet computer and observation equipment were co-located on the same mobile stand, there was no automated check that the observations documented had been performed or matched those measured. We do not believe that any of the measurement devices show any intrinsic value preference. All devices produce an error rather than a default reading if measurement is unsuccessful. Supplemental oxygen devices and alertness (alert, responsive to voice, pain or unresponsive, AVPU) were also recorded. However, these non-numerical measurements are not considered further here. Additional data were obtained: hospital-level data (hospital where the observation was made, the specialty managing the patient); and patient data (age, sex, ethnicity, index of multiple deprivation (IMD) score at home address, Charlson comorbidity score).
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Publication 2023
Adult Delivery of Health Care Diastole Ethnicity Healthcare Assistants Hospice Care Inpatient Medical Devices Oxygen Oxygen Saturation Pain Patients Pressure, Diastolic Pulse Rate Rate, Heart Registered Nurse Respiratory Rate Signs, Vital Sphygmomanometers Systole Systolic Pressure Thermometers Tympanic Cavity

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More about "Hospice Care"

Hospice care is a specialized form of palliative care that focuses on providing comfort and support to terminally ill patients and their families.
This comprehensive approach combines medical, nursing, psychological, social, and spiritual care to address the unique needs of each individual.
Hospice aims to optimize quality of life and provide relief from symptoms, pain, and emotional distress during the final stages of illness.
Palliative care, end-of-life care, and terminal care are all terms that are often used interchangeably with hospice care.
These approaches share the common goal of improving the quality of life for patients facing life-limiting illnesses.
Hospice care, however, is a specific model of care that is typically provided in the patient's home or in a dedicated hospice facility.
Hospice care can be beneficial for patients with a wide range of terminal illnesses, including cancer, heart disease, lung disease, Alzheimer's disease, and others.
The care team may include physicians, nurses, social workers, chaplains, and volunteers, all of whom work together to address the physical, emotional, and spiritual needs of the patient and their family.
Accessing hospice care can be a complex process, and it's important to work with healthcare providers and insurance companies to understand the available options.
Patients and their families may also find it helpful to review resources from organizations like the National Hospice and Palliative Care Organization (NHPCO) or the Hospice Foundation of America.
Whether you're a healthcare professional or a caregiver, understanding the nuances of hospice care can be crucial in ensuring that terminally ill patients receive the compassionate and high-quality care they deserve.
By leveraging the power of AI-driven platforms like PubCompare.ai, you can optimize your hospice care through enhanced reproducibility and research accuracy, and identify the best protocols and products to meet your specific needs.