| Literature DB >> 31077249 |
Abraham Munene1, David C Hall2.
Abstract
BACKGROUND: An estimated four million and 43 million people in Canada and the USA use private water supplies. Private water supplies are vulnerable to waterborne disease outbreaks. Private water supplies in Canada and the USA are often unregulated and private water management is often a choice left to the owner. Perceptions of water quality become important in influencing the adoption of private water stewardship practices, therefore safeguarding public health.Entities:
Keywords: Perceptions; Private water; Public health; Water wells; Well stewardship
Mesh:
Year: 2019 PMID: 31077249 PMCID: PMC6511211 DOI: 10.1186/s13643-019-1013-9
Source DB: PubMed Journal: Syst Rev ISSN: 2046-4053
PICO framework
| PICO | Characteristic assessed |
|---|---|
| Population of interest | Studies reporting on private water users within Canada and the USAa |
| Intervention | Factors influencing perception of water quality |
| Control | Not applicable |
| Outcome | Presence of water treatment and water testing |
aSome studies that reported on both private and municipal supplies were included in the review
Factors identified to influence perceptions of private water quality with associated studies
| Article | Year published | Location | Sample size | Study approach | Factors discussed |
|---|---|---|---|---|---|
| Jones et al. [ | 2006 | Hamilton (CA) | 246 | Quantitative | Well infrastructure, demographic factors, organoleptic properties, chemical and microbiological contaminants, external information |
| Flanagan et al. [ | 2015 | Maine (USA) | 386 | Quantitative | Demographic factors, perceived risk, chemical contaminants, organoleptic properties, well infrastructure |
| Jones et al. [ | 2005 | Hamilton (CA) | 16 | Qualitative | Organoleptic properties, perceived risk, external information |
| Flanagan et al. [ | 2015 | Maine (USA) | 525 | Quantitative | Chemical and microbiological contaminants, demographic factors, values, attitudes, and beliefs, well infrastructure |
| Roche et al. [ | 2013 | Newfoundland and Labrador (CA) | 618 | Quantitative | Demographic factors, well infrastructure, organoleptic properties, external information |
| Garcia et al. [ | 2016 | Texas, Arizona and New Mexico (USA) | 47 | Quantitative | Demographic factors, organoleptic properties, chemical and microbiological contaminants, past experience |
| Murti et al. [ | 2016 | Arkansas, Indiana and Oklahoma (USA) | 41 | Qualitative | Chemical and microbiological contaminants, organoleptic properties, external information |
| Colt et al. [ | 2002 | New Hampshire (USA) | 98 | Quantitative | Chemical contaminants, well infrastructure |
| Shaw et al. [ | 2005 | Churchill county, Nevada (USA) | 351 | Quantitative | Chemical contaminants, perceived risk, demographic factors |
| Schwartz et al. [ | 1998 | New York (USA) | 244 | Quantitative | Demographic factors, well infrastructure, perceived risk, chemical and microbiological contaminants, organoleptic properties |
| Poe et al. [ | 1998 | Wisconsin and New York (USA) | 307 | Quantitative | Chemical contaminants, perceived risk |
| Lewandowski et al. [ | 2008 | Minnesota (USA) | 483 surveys 377 testing kits | Quantitative | Well infrastructure, chemical and microbiological contaminants, organoleptic properties |
| Pieper et al. [ | 2015 | Virginia (USA) | 2146 | Quantitative | Chemical and microbiological contaminants, organoleptic properties, well infrastructure |
| Postma et al. [ | 2011 | Gallatin County (USA) | 188 households (320 children) | Quantitative | Demographic factors, chemical and microbiological contaminants |
| Mechenich et al. [ | 1994 | Wisconsin (USA) | 139 | Quantitative | Chemical contaminants, attitudes, and perceived risk |
| Strauss et al. [ | 2001 | Ontario (CA) | 647 | Quantitative | Demographic factors, microbiological contaminants |
| Schade et al. [ | 2015 | West Virginia (USA) | 498 | Quantitative | External information, chemical contaminants |
| Walker et al. [ | 2006 | Churchill county Nevada (USA) | 351 | Quantitative | Chemical contaminants, perceived risk, |
| McLeod et al. [ | 2014 | Saskatchewan (CA) | 1294 | Quantitative | Demographic factors, external information, values, attitudes, and beliefs |
| McLeod et al. [ | 2015 | Saskatchewan (CA) | 1294 | Quantitative | Organoleptic properties, past experience |
| Levallois et al. [ | 1998 | Quebec (CA) | 222 | Quantitative | Organoleptic properties, chemical contaminants, well infrastructure |
| Acharya et al [ | 2008 | Alberta (CA) | 33 | Quantitative | Organoleptic properties, perceived risk, microbiological contaminants |
| McSpirit et al. [ | 2011 | West Virginia (US) | 256 | Quantitative | Demographic factors, organoleptic properties, perceived risk |
| Merkel et al. [ | 2012 | Pennsylvania (USA) | 158 | Mixed methods | Organoleptic characteristics, demographic factors, perceived risk, values, attitudes, and beliefs |
| Summers [ | 2010 | Alberta (CA) | 1014 | Quantitative | Demographic factors, well infrastructure, values, attitudes, and beliefs, organoleptic properties, chemical and microbiological contaminants |
| Chappells et al. [ | 2015 | Nova Scotia (CA) | 420 (32 in depth interviews) | Mixed methods | Demographic factors, perceived risk, organoleptic properties, chemical and microbiological contaminants, past experience |
| Flanagan et al. [ | 2016 | Maine and New Jersey (USA) | 344 | Quantitative | Chemical contaminant, values, attitudes, and beliefs |
| Straub and Leahy [ | 2014 | New England, Connecticut, Rhode Island, Maine, New Hampshire and Vermont (USA) | 513/776 for children and 452/776 for parent | Quantitative | Demographic factors, organoleptic properties, perceived risk, external information |
| Lothorp et al. [ | 2016 | Arizona (USA) | 31/34 | Quantitative | Demographic factors, chemical contaminants |
| Kreutzwiser et al. [ | 2011 | Ontario (CA) | 1567 | Quantitative | Well infrastructure, microbiological contaminants, past experience, external information |
| Mahler et al. [ | 2014 | Alaska, Idaho, Oregon, Washington (USA) | 225 | Quantitative | Organoleptic properties, demographic factors, perceived risk |
| Schubert et al. [ | 1999 | Wisconsin (USA) | 562 | Quantitative | Demographic factors, chemical contaminants, external information |
| Feinman et al. [ | 2015 | New Mexico (USA) | 6606 | Quantitative | Demographic factors |
| Imgrund et al. [ | 2011 | Ontario (CA) | 22 | Qualitative | Perceived risk, well infrastructure, values, attitudes, and beliefs. microbiological contaminants |
| Jones et al. [ | 2007 | British Columbia (CA) | 4612 | Quantitative | Demographic factors, perceived risks, microbiological contaminants |
| Johnson [ | 2008 | New Jersey | 266 | Quantitative | Demographic factors, values, attitudes, and beliefs, past experience |
| Renaud et al. [ | 2011 | Quebec (CA) | 542 | Quantitative | Demographic factors, external information, chemical contaminants |
| Ridpath et al. [ | 2016 | 48 states within the USA | 1100 | Quantitative | Chemical and biological contaminants, external information, well infrastructure |
| Flanagan et al. [ | 2016 | New Jersey (USA) | 711 | Quantitative | Demographic factors, external information, perceived risk, chemical contaminants |
| Flanagan et al. [ | 2016 | New Jersey (USA) | 670 | Quantitative | Demographic factors, values, attitudes, and beliefs, perceived risk, chemical contaminants |
| Laflamme et al. [ | 2004 | Washington (USA) | 6927 | Quantitative | Perceived risk, chemical contaminants |
| Severtson et al. [ | 2006 | Wisconsin (USA) | 545 | Quantitative | Demographic factors, perceived risk, chemical contaminants, past experience |
| Severtson et al. [ | 2008 | Wisconsin (USA) | 897 | Mixed methods | Chemical contaminants, demographic factors, perceived risk |
| Slotnick et al. [ | 2006 | Michigan (USA) | 221 | Quantitative | Chemical contaminants, well infrastructure |
| Kite-Powell et al. [ | 2006 | Oregon (USA) | 102 | Quantitative | Chemical contaminants |
| Tabbot [ | 2006 | New Jersey (USA) | 50 | Quantitative | Chemical and microbiological contaminants, organoleptic properties |
| Hexemer et al. [ | 2008 | Ontario (CA) | 248 | Quantitative | Chemical and microbiological contaminants, demographic factors, external information |
| Swistock et al. [ | 2012 | Pennsylvania (USA) | 450 | Quantitative | Chemical and microbiological contaminants, well infrastructure |
| Paul et al. [ | 2015 | Tuftonboro (USA) | 285 | Quantitative | External information |
| Pintar et al. [ | 2009 | Ontario (CA) | 2332 | Quantitative | Demographic factors |
| Yu et al. [ | 2014 | Nova Scotia (CA) | 960 | Quantitative | Demographic factors, well infrastructure, chemical contaminants |
| Malecki et al. [ | 2017 | Wisconsin (USA) | 460 | Quantitative | Organoleptic properties, demographic factors, chemical and microbiological contaminants |
Fig. 1PRISMA flow diagram for study selection
Prevalence of contaminants within well water in surveys of well water owners
| Study | Contaminant | Proportion of participants exceeding MAC |
|---|---|---|
| Pieper et al. [ | Arsenic | 0.10% |
| Cadmium | 0.60% | |
| Chromium | 0.00% | |
| Fluoride | 0.40% | |
| Nitrate | 1.30% | |
| Total coliform | 46% | |
| 10% | ||
| Copper | 12% | |
| Lead | 19% | |
| Aluminium | 3.80% | |
| Chloride | 0.20% | |
| Copper | 15% | |
| Iron | 8.00% | |
| Manganese | 10.00% | |
| pH | 26% | |
| Silver | 0.00% | |
| Sulphate | 2.40% | |
| TDS | 10% | |
| Zinc | 3.10% | |
| Walker et al. [ | Arsenic | N/A (did not present proportion who actually exceeded MAC) |
| Poe et al. [ | Nitrate | 18% |
| Lothorp et al. [ | Aluminium | 31.30% |
| Arsenic | 37.50% | |
| Iron | 6.25% | |
| Lead | 6.25% | |
| Antimony | 6.25% | |
| Water Hardness | N/A | |
| Postma et al. [ | Total coliform | 18% |
| < 1% | ||
| Nitrates | 2% | |
| Lead | 0% | |
| Copper | 0% | |
| Arsenic | 6% | |
| Fluoride | 2% | |
| Synthetic organic chemicals | 6% | |
| Slotnick et al. [ | Arsenic | 25.30% |
| Hexemer et al. [ | Bacteriological ( | 15.40% |
| Nitrates | 25.30% | |
| Tabbot et al. [ | Total coliform | 14% |
| Nitrates | 58% | |
| Volatile organic compounds | 26% | |
| Hardness | 28% | |
| Swistock et al. [ | Total coliform | 33% |
| 14% | ||
| pH | 20% | |
| Lead | 12% | |
| Nitrates | 2% | |
| Arsenic | 2% | |
| Triazane | < 1% | |
| Strauss et al. [ | Total coliform | 17.10% |
| 9.50% | ||
| Yu et al. [ | Arsenic | 4.50% |
| Kite-Powell et al. [ | Nitrates | 55%* (during the two periods of data collection) |
| Lewandowski et al. [ | Nitrates | 10%* (based on well type) |
| Levallois et al. [ | Nitrates | 6% |
Barriers to well water testing and possible solutions provided
| Barrier to well water testing | Recommendation to overcome barrier | Study |
|---|---|---|
| Inconvenience in dropping off and picking up water sampling bottles (time to get to water test locations and hours of operation for water testing centres) | Making bottle pick up and drop off more convenient for water testing or setting up services for delivering and picking up water sampling bottles | [ |
| No need to frequently conduct testing | Sending well testing reminders and making the issue of well water testing more salient to well water owners | [ |
| Lack of information or misinformation on water testing | Educational/information awareness programs | [ |
| Forgetfulness of procrastination | Sending reminders | [ |
| No stated reason | Educational/information awareness programs | [ |
| Costs | Provide cost sharing or incentives | [ |
| No health problems attributed to well water testing or no problem perception | Provide educational/information awareness programs | [ |
| Use of water treatment | Education/information awareness on what treatments to use | [ |
| Interpretation of water quality result | Education/information awareness on what exceedances to MAC’s mean | [ |