| Literature DB >> 35543481 |
Wayne Clark1, Josée G Lavoie2, Leah Mcdonnell3, Nathan Nickel2, Jack Anawak4, Levinia Brown5, Grace Clark6, Maata Evaluardjuk-Palmer7, Frederick Ford7, Rachel Dutton8, Sabrina Wong9, Julianne Sanguins10, Alan Katz11.
Abstract
There is a notable lack of research related to trends in Inuit accessing health services throughout the land known as Canada. Given Nunavut's reliance on specialised services provided in the Northwest Territories, Alberta, Manitoba, and Ontario, this gap is particularly problematic, making it more difficult for Nunangat to proactively plan new programs for emerging needs, and for provinces to respond to those needs. The Qanuinngitsiarutiksait study aimed to address this gap by developing detailed profiles of Inuit accessing health services in Manitoba. We used administrative data routinely collected by Manitoba agencies, to support the development of Inuit-centric services. It was conducted in partnership with the Manitoba Inuit Association, and Inuit Elders from Nunavut Canada and Manitoba. We focused on two interrelated cohorts: Kivallirmiut (Inuit from the Kivalliq region of Nunavut) who come to Winnipeg to access specialised services; and Manitobamiut (Inuit already living in Manitoba). Findings show that health services are primarily accessed in Winnipeg. Half of health services accessed by Kivallirmiut are for in-patient care at facilities with the Winnipeg Regional Health Authority. The other half are for advanced out-patient care including specialist consults. For Kivallirmiut, hospitalisation for pregnancy and birth are the most prevalent reasons for hospitalisation, followed by diseases of the respiratory system. Noteworthy, rates of hospitalisation for conditions treatable in primary healthcare for Kivallirmiut are considerably lower than those for Manitobans living in the northern part of the province (where comparable constraints exist). For Inuit adults, rates of hospitalisation for these conditions are comparable to those of Manitobans living in small communities. Inuit living in Manitoba are most often hospitalised for mental health reasons, although other reasons are nearly as prevalent. Our results support the need for more Inuit-centric health programming in Winnipeg.Entities:
Keywords: Primary health care; arctic; circumpolar; indigenous; inuit
Mesh:
Year: 2022 PMID: 35543481 PMCID: PMC9103522 DOI: 10.1080/22423982.2022.2073069
Source DB: PubMed Journal: Int J Circumpolar Health ISSN: 1239-9736 Impact factor: 1.941
Figure 1.Number of Kivalliq patient hospitalisations, winnipeg vs Manitoba rural settings, 1999–16.
Manitobamiut cohort description: Inuit living in Manitoba
| Number | Age women | Age men | |||||
|---|---|---|---|---|---|---|---|
| | Men | Women | Total | Average age | Standard dev | Average age | Standard dev |
| 1999 | 166 | 187 | 353 | 28.8 | 15.5 | 29.5 | 15.9 |
| 2000 | 176 | 212 | 388 | 28.1 | 15.7 | 29.8 | 15.4 |
| 2001 | 202 | 226 | 428 | 28.3 | 16.1 | 30.4 | 16.0 |
| 2002 | 236 | 251 | 487 | 28.4 | 15.7 | 30.0 | 16.5 |
| 2003 | 259 | 262 | 521 | 29.4 | 15.9 | 30.4 | 16.8 |
| 2004 | 290 | 300 | 590 | 30.7 | 16.4 | 32.1 | 17.6 |
| 2005 | 284 | 317 | 601 | 31.7 | 16.4 | 33.8 | 17.7 |
| 2006 | 286 | 332 | 618 | 32.4 | 16.9 | 34.5 | 17.8 |
| 2007 | 304 | 348 | 652 | 33.4 | 17.2 | 34.9 | 18.3 |
| 2008 | 313 | 379 | 692 | 33.4 | 17.7 | 35.2 | 18.3 |
| 2009 | 311 | 392 | 703 | 33.5 | 17.9 | 36.5 | 18.6 |
| 2010 | 327 | 402 | 729 | 34.1 | 17.8 | 37.0 | 18.9 |
| 2011 | 336 | 405 | 741 | 34.8 | 17.8 | 37.5 | 18.8 |
| 2012 | 340 | 405 | 745 | 35.6 | 18.0 | 37.7 | 19.1 |
| 2013 | 361 | 422 | 783 | 35.4 | 18.2 | 38.2 | 19.2 |
| 2014 | 370 | 430 | 800 | 36.7 | 18.4 | 39.2 | 19.3 |
| 2015 | 381 | 433 | 814 | 37.2 | 18.5 | 39.9 | 19.5 |
| 2016 | 369 | 416 | 785 | 38.5 | 18.6 | 41.2 | 19.5 |
Cohort description: percentage of Inuit moving to Manitoba (Manitobamiut)
| Number of Inuit living in Manitoba | Number of Inuit moving to Manitoba | Yearly % of Inuit new arrived to Manitoba | |
|---|---|---|---|
| 1999 | 353 | 24 | 6.8% |
| 2000 | 388 | 37 | 9.5% |
| 2001 | 428 | 44 | 10.3% |
| 2002 | 487 | 65 | 13.3% |
| 2003 | 521 | 51 | 9.8% |
| 2004 | 590 | 59 | 10.0% |
| 2005 | 601 | 48 | 8.0% |
| 2006 | 618 | 48 | 7.8% |
| 2007 | 652 | 49 | 7.5% |
| 2008 | 692 | 65 | 9.4% |
| 2009 | 703 | 46 | 6.5% |
| 2010 | 729 | 32 | 4.4% |
| 2011 | 741 | 39 | 5.3% |
| 2012 | 745 | 30 | 4.0% |
| 2013 | 783 | 50 | 6.4% |
| 2014 | 800 | 38 | 4.8% |
| 2015 | 814 | 43 | 5.3% |
| 2016 | 785 | 6 | 0.8% |
Figure 2.Kivallirmiut living in MB by regional health authority, yearly average (5 years roll-up).
Figure 3.Average yearly number of physician visits and hospitalisation by sex for Kivallirmiut, per 5 year period, 1999–16.
Proportion of total medical visit attributable to ambulatory care over time, Kivallirmiut
| Males | Females | |
|---|---|---|
| 1999–2003 | 77% | 67% |
| 2000–2004 | 71% | 62% |
| 2001–2005 | 65% | 58% |
| 2002–2006 | 59% | 55% |
| 2003–2007 | 54% | 52% |
| 2004–2008 | 51% | 51% |
| 2005–2009 | 51% | 51% |
| 2006–2010 | 51% | 51% |
| 2007–2011 | 52% | 52% |
| 2008–2012 | 53% | 51% |
| 2009–2013 | 52% | 51% |
| 2010–2014 | 53% | 53% |
| 2011–2015 | 55% | 53% |
| 2012–2016 | 55% | 54% |
Figure 4.(a) Adjusted rates (sex, age) of all hospitalisation for children (<20 years) of the Kivalliq region, per 1000 (5 year roll-up). (b)Adjusted rates (sex, age) of all hospitalisation for adults (20 years and older) of the Kivalliq region, per 1000 (5 year roll-up).
Figure 5.Adjusted rates of In-patient hospitalisations per 1000 by sex, Kivallirmiut (5 years roll-up).
Figure 6.(a) Adjusted rates of ambulatory care sensitive conditions hospitalisation for Kivalliq children (<20 years), per 1000 (5 year roll-up). (b) Adjusted rates of ambulatory care sensitive conditions hospitalisation for Kivalliq adults (20 years and >), per 1000 (5 year roll-up).
| Category | Condition | ICD-9-Codes |
|---|---|---|
|
| Asthma | ICD-9-CM 493; ICD-10-CA J45 |
| Angina | ICD-9-CM 411, 413; ICD-10-CA 120, 123.82, 124.0, 124.8,124.9 | |
| Heart Failure and pulmonary oedema | ICD-9-CM 428, 518.4; ICD-10-CA 150, J81, I11.0 | |
| Diabetes with complications | ICD-9-CM 250; ICD-10-CA E10, E11, E13, E14 | |
| Hypertension | ICD-9-CM 401, 402; ICD-10-CA I10.0, I10.1, I11 | |
| COPD | ICD-9-CM 491, 492, 494, 496; ICD-10-CA J41, J42, J43, J44, J47 | |
| Pneumonia | Pneumonia (only when a secondary diagnosis of COPD is present): ICD-9-CM 480, 481, 482, 483, 484, 485, 486; ICD-10-CA J12, J13, J14, J15, J16, J18 | |
| Bronchitis | Acute Bronchitis (only when a secondary diagnosis of COPD is present): ICD-9-CM 466.0 | |
|
| Diphtheria | ICD-9-CM 032; ICD-10-CA A36 |
| Hemophilus Influenza type B | ICD-9-CM 320.0; ICD-10-CA G00.0 | |
| Hepatitis A | ICD-9-CM 070.0, 070.1; ICD-10-CA B15 | |
| Hepatitis B | ICD-9-CM 070.2, 070.3; ICD-10-CA B16 | |
| Influenza | ICD-9-CM 487; ICD-10-CA J10, J11 | |
| Measles | ICD-9-CM 055; ICD-10-CA B05 | |
| Meningococcal disease (meningitis) | ICD-9-CM 036; ICD-10-CA A39 | |
| Mumps | ICD-9-CM 072; ICD-10-CA B26 | |
| Pertussis | ICD-9-CM 033; ICD-10-CA A37 | |
| Pneumococcal | ICD-9-CM 038.2, 041.2, 320.1, 567.1, 711.0, 481; ICD-10-CA G00.1, A40.3, J13 | |
| Poliomyelitis | ICD-9-CM 045; ICD-10-CA A80 | |
| Tuberculosis | ICD-9-CM 011–018; ICD-10-CA A15 – A19 | |
| Rubella | ICD-9-CM 056; ICD-10-CA B06 | |
| Tetanus | ICD-9-CM 037; ICD-10-CA A34, A35 | |
|
| Dental Conditions | ICD-9-CM 521, 522, 523, 525, 528; ICD-10-CA K02.0, K02.1, K02.2, K02.3, K02.4, K02.8, K02.9, K03.0, K03.1, K03.2, K03.3, K03.4, K03.5, K03.6, K03.7, K03.8, K03.9, K04.0, K04.1, K04.2, K04.3, K04.4, K04.5, K04.6, K04.7, K04.8, K04.9, K05.0, K05.1, K05.2, K05.3, K05.4, K05.5, K05.6, K06.0, K06.1, K06.2, K06.8, K06.9, K08.0, K08.1, K08.2, K08.3, K08.80, K08.81, K08.82, K08.83, K08.87, K08.88, K08.9, K09.8, K09.9, K12.0, K12.1, K12.2, K13.0, K13.1, K13.2, K13.3, K13.4, K13.5, K13.6, K13.7 |
| Cellulitis | ICD-9-CM 681, 682, 683, 686; ICD-10-CA, L03, L04, L08, L44.4, L88, L92.2, L98.0, L98.3 | |
| Pelvic Inflammatory Disease | ICD-9-CM 614, ICD-10-CA, N70, N73, N99.4 | |
| Gastroenteritis & Dehydration | ICD-9-CM 558, 276.5; ICD-10-CA K52.2, K52.8, K52.9, E86 | |
| Severe Ear, Nose and Thoat (ENT) infections | ICD-9-CM 382, 462, 463, 465, 472.1; ICD-10-CA H66, J02, J03, J06, J31.2, H67 | |
| Mental health | Mood disorders | ICD-9-CM 296.1–296.8, 300, 309 or 311; ICD-10-CA F31, F32, F33, F34.1, F38.0, F38.1, F41.2, F43.1, F43.2, F43.8, F53.0, F93.0 or with a diagnosis for an anxiety state, phobic disorders or obsessive-compulsive disorders: ICD-9-CM 300.0, 300.2, 300.3, 300.7; ICD-10-CA F40, F: ICD-9-CM 300; ICD-10-CA F32, F34.1, F40, F41, F42, F44, F45.0, F45.1, F45.2, F48, F68.0, or F99, F41.0, F41.1, F41.3, F41.8, F41.9, F42, F45.2 |
| Schizophrenia | ICD-9-CM 295 |
* “Secondary diagnosis” refers to a diagnosis other than most responsible
** Code may be recorded in any position. Procedures coded as cancelled, previous and “abandoned after onset” are excluded.
| Conditions | ICD-9 Codes |
|---|---|
| Cancer | 140–239 |
| Circulatory System (includes hypertensive heart disease) | 390–459 |
| Conditions Originating in Perinatal Period, Pregnancy & Birth | 630–679, 760–779 |
| Digestive System (includes cirrhosis and liver diseases) | 520–579 |
| Disorders of Skin | 680–709 |
| Endocrine & Metabolic Diseases | 240–279 |
| Factors Influencing Health Status & Contact | V01-V89 |
| Genitourinary System | 580–629 |
| Infectious and Parasitic Diseases | 001–139 |
| Injury & Poisoning (includes overdoses) | 800–999 |
| Mental Illnesses | 290–319 |
| Musculoskeletal System (include rheumatoid arthritis, osteoarthritis, osteoporosis) | 710–739 |
| Nervous System (includes chronic meningitis, Huntington’s disease, multiple sclerosis, Bell’s palsy) | 320–389 |
| Respiratory System (including influenza) | 460–519 |
| Symptoms, Signs & Ill-Defined Conditions | 780–799 |